Lec 1/ TB Ch 1, 2 Flashcards
- Reticulum theory
- Cajal
- silver nitrate method
- 4 main discoveries
- Brainbow method
- The Brain Observatory
- # neurons in brain
- # neurons in cerebral cortex
- Reticulum theory: all brain cells are fused together to form a big net or reticulum; this unit works in a holistic way
- Cajal:
- silver nitrate method: stain and drew what he saw from the microscope
- Camillo Golgi invented the silver nitrate method
- silver nitrate method: stain and drew what he saw from the microscope
- Santiago Cajal made 4 main discoveries
- Neurons only connect in a specific place called synapse
- Neurons are connected in principled (based on a set of rules), not randomly
- Electrical signals travel through neurons in only 1 direction; this allows systematic info flow thru circuits
- (#4) neurons are independent units that are not joint together
- Golgi supports the reticulum theory; against Cajal’s
- Brainbow method: derived florescent proteins from glowing jellyfish to label specific neurons
- It has 150+ colors
- Cons: the color labelling is random
- Current rs: try to tag different types of neurons w/ diff ranges of colors
- Ex. red + orange for neuron type 1
- Ex. Yellow + green for neuron type 2
- Ex. Blue + purple for neuron type 3
- Researchers attempt to disseminate results to broad audience
- The Brain Observatory/ The brain’s Hubble telescope
- Constructed the “Concise Digital Atlas of the Human Brain”
- Ppl can inspect stained sections of the brain at various magnifications (ex. birds eye view of all structures, individual neurons)
- The Brain Observatory/ The brain’s Hubble telescope
- Brains has 100 billion neurons, can stretch for 150,000 km
- Cerebral cortex: 30 billion neurons, 1 million billion connections
- LABEL THE DIAGRAM
- Neuron fx
- what are the fx of the following parts?
- dendrites
- axon
- myeline sheath
- nodes of ranvier
- terminal buttons
- synapse
- Size of neuron in the retina?
- Length of neuron spinal cord to toes?
- 6 shapes of neurons
- von Economo neurons
- 2 places it is found
- 7 fxs
- Who has impaired von Economo neurons?
- What animals have von Economo neurons?
Anatomy
- Neurons’ function: signal transmission
- Nucleus: Central region
- Neurons look like trees: branching roots, long trunk, bushy crown
- Dendrites: (tree in Greek) Branching roots, receive signals
- Axon: (axle in Greek) long trunk, transmit signals
- Myelin sheath: fat that give insulation to protect and accelerate signals
- 1 mm long
- Nodes of Ranvier: small spaces that separate the Myelin Sheath, rejuvenate (restore energy) the signals
- Terminal buttons: the axon splits into segments, and it ends with the buttons, the buttons relay info to downstream neurons
- Synapses: (syn = together; haptein = to clasp) tiny clefts b/w terminal buttons of message sending neurons and dendrites of message receiving neurons
- Neurons vary in size and shape
- Size: Neurons in the middle layer of the retina: 1 mm
- Neurons that extend from spinal cord to toes: 1 m
- Shapes: pyramidal, granular, stellate, chandelier, basket, fork
- Size: Neurons in the middle layer of the retina: 1 mm
- Some neurons are specialized for certain sensory or motor processing
- Ex. von Economo neurons – found in a few brain regions (anterior cingulate, anterior insula); related to emotional processing, self-awareness, and social cog, interoception (can sense one’s internal bodily’s state), affect and communication in relationships
- Those w/ mental disorders that impair mental capacities (ex. autism and schizo) have altered von Economo neurons
- Socially complex mammals have many von Economo neurons (apes, elephants, whales, dolphins)
- LABEL THE DIAGRAM
- Process of how e- signals are conducted (3 steps)
- Active conduction
Physiology
- Dendrites receives many inputs (in the form of e current) from other neurons
- E current moves to the cell body via passive conduction
* Passive conduction: passive flow for e current from dendrite to cell body
- E current moves to the cell body via passive conduction
- Current reaches the base (aka hillock of Axon hillock); if the total sum of the current exceeds the specific threshold, the neuron fires an action potential via active conduction
* Action potential: aka spike, the neuron experience change in electrical property, this causes the net charge in the axon shift from -ve to +ve
* Active conduction: reoccurring APs/spikes at the nodes of Ranvier, this allows the signal to travel along the axon w/o fading
- Current reaches the base (aka hillock of Axon hillock); if the total sum of the current exceeds the specific threshold, the neuron fires an action potential via active conduction
Physiology cont
- LABEL THE DIAGRAM
- RMP?
- Critical Threshold?
- Process of AP: 3 steps
- Fx of hyperpolarization
- Signal speed of myelinated vs unmyelinated neuron
- Fx of Nodes of Ranvier
- Active conduction
- Process to send signal across synapse
- Summation effect
- % of oxygenated blood used by brain
- Size of arteries, arterioles, capillaries
- By default, the neuron is more -ve in the inside (RMP: -70 mV)
- When the input is +ve enough to increase the MP to -50 mV (aka critical threshold), this triggers an AP (happens in 1 ms)
- Na+ channels open; Na+ enters cell; cell depolarizes, the cell becomes more +ve than the external env
- Na+ channels close; K+ channels open (slowly K = couch potato); K+ leaves the cell; the cell becomes more -ve
- Since K+ channels close very slowly, the cell becomes hyperpolarized
* Hyperpolarization: prevents another AP happen right away; ensures the signal travels forward, not backwards
- Since K+ channels close very slowly, the cell becomes hyperpolarized
- Myelin Sheath: increase the speed an axon can transmit current
- Unmyelinated: signal travels 1 m/s
- Myelinated: signal travels 10 to 100 m/s
- Nodes of Ranvier: small spaces b/w myeline sheaths; renews the AP perpetually
- Active conduction: the cycle of Na+ influx and K+ outflow happens in each node; active conductions is the sequential (entire chain of) signal rejuvenation
- Process to send signal across synapse
- When signals reach the terminal buttons, the have to cross the synaptic cleft (20 nm)
- Here, NT are released, and bind to specific receptors on the postsynaptic neuron
* NT: chemicals that carry the signals across the synaptic cleft
* If the presynaptic neuron is excitatory, the released NT make the postsynaptic neuron fire
* If presynaptic neuron is inhibitory, the released NT make the postsynaptic neuron less likely to fire
- Here, NT are released, and bind to specific receptors on the postsynaptic neuron
- Whether the target cell fires depend on the sum of numerous inputs
- NOTE: the strength of individual inhibitory or excitatory connection is adjustable
- Neuron activity uses a lot of energy
- The human brain is 2-3% of the total body weight, but uses 20% of the oxygenated blood from the heart
- Oxygenated blood from heart enters blood vessel network: arteries (5 millimetre) -> arterioles (30 micrometres) -> capillaries (10 micrometres; a bit wider than 1 RBC)
- Capillaries
- Have thin walls, oxygen can pass be extracted here
- Veins: deoxygenated blood flows from brain to heart
- What does neuron’s firing frequency indicate?
- Why?
- Why are assemblies of neurons arranged in multi-layered hierarchies?
- Visual system
- 2 main stages of processing
- Describe Table detection network
- How can Hierarchical coding networks be bottom-up feedforward?
- How can Hierarchical coding networks have top-down feedback connections?
Representation
- IOW, the neuron’s firing frequency indicates whether the preferred stimulus present
- Neurons are tuned to respond to specific stimulus
- Assemblies of neurons are put in multi-layered hierarchies; this arrangement help them capture complex patterns of info
- Ex. Visual system - Object recognition
- There are several stages of processing
- Early stages: process elementary features of shape
- Other stages: process more complex combination of the features
- There are several stages of processing
- Ex. Visual system - Object recognition
- Ex. Table detection network
- Level 1 (bottom): 1 cell code for “vertical edge”; 1 cell code for “horizontal edge”
- Level 2: 1 cell code for length; 1 cell code for “corner”, and this cell receives input from the two cells in lv 1
- Level 3: 1 cell code for legs; 1 cell code for rectangular surface, and it receives input (i.e. corners and lengths) from cells at lv 2
- IOW, the cell can combine feature of corners and lengths to form the more complex “rectangular surface”
- Level 4: 1 cell receives input from two cells in lv 3
- IOW: this cell combines features of rectangular surface and legs to derive the final object representation – table
- The table detection network resembles the hierarchical coding in the cerebral cortex, and other perceptual systems
- Hierarchical coding networks are seen in bottom-up feedforward (use current feedback, and generate solutions for the future) connections
- As a result, sensory signals can be matched w/ knowledge stored in LTM
- Hierarchical coding networks are also seen in top-down feedback connections
- This allows our internal priorities and predictions to guide our perceptual processes
- Top-down connections go from central to peripheral brain regions
- This allows us to reconstruct specific sensorimotor representations w/o external input
- Ex. in our dreams, we conjure (bring forth) diff sights, sounds, and smells in our imagination
- LABEL THE DIAGRAM
- Planes
- Sagittal
- Coronal
- Horizontal
- Location of regions
- Rostral (aka ?)
- Caudal (aka ?)
- Dorsal (aka?)
- Ventral (aka ?)
- Lateral
- Medial
Navigating the Neural Landscape
- Planes
- Sagittal: section that separates left and right sides of the brain
- Coronal: separate front from the back
- Horizontal (aka axial/transverse): separates top from bottom
- Locations of certain regions
- Rostral/anterior: front of the brain (rostral; rooster; beak is in the front)
- Caudal/posterior: back of the brain
- Dorsal/superior: top of the brain
- Ventral/inferior: bottom of the brain (V points down)
- Lateral: outer left or right side of the brain
- Medial: midline of the brain
- LABEL THE DIAGRAM
- Brainstem
- 3 sections of brainstem
- 2 things it maintains
- Damage causes what?
- Cranial nerves: what they do?
- Where do cranial nerves the brain?
- Thalamus
- Where is it?
- 3 fx
- Which perceptual input does not pass through a specific nucleus in the thalamus?
- Which nucleus signals from the retina enter?
- Which nucleus signals from the cochlea?
- 3 things thalamo-cortical loops facilitate?
- Brainstem
- has 3 main sections: medulla, pons, and midbrain
- The 3 structures help maintain homeostasis and degree of wakefulness
- Damage to the 3 structures -> coma or death
- The portal (entrance) for cranial nerves
- Cranial nerves receive sensory input from and send motor output to the head + neck
- Thalamus
- The large egg-shape structure on top of the brain stem
- We have 2 thalamus, 1 for each hemisphere
- (#3) It has many separate nuclei that direct the traffic in the brain
- Thalamus is the “gateway to the cortex”,
- it relays info up to the cortex
* All perceptual input (except smell) pass through a specific nucleus in the thalamus, then enters the appropriate cortical region
* Ex. signals from the retina enters the lateral geniculate nucleus, then the primary visual cortex
* Ex. Signals from the cochlea enters the medial geniculate nucleus, then the primary auditory cortex
* Ex. signals from the basal ganglia, cerebellum, and amygdala enters the thalamic nuclei, then reach their cortical targets
- it relays info up to the cortex
- Thalamus receives feedback from the cortex
* Each specific area in the cerebral cortex has bidirectional (2-way) connection w/ a specific part in the thalamus
* These thalamo-cortical loops facilitate attention, STM, coordination of diff brain regions (ex. mental representations)
- Thalamus receives feedback from the cortex
- LABEL THE DIAGRAM
- Hippocampus location
- Fornix & Mammillary body fx
- 4 steps Memory consolidation process
- Patient HM
- Which part was removed
- What was the consequence of surgery
- 3 things he can’t remember
- 2 things he can
- Amygdala location
- 3 fx
- Patient SM
- 2 things she can’t do
- 2 other specific fx of amygdala
- Hippocampus
- Aka Giant seahorse in Greek - Looks like a seahorse tail
- Located in the temporal lobe
- Fornix (blue box) & mammillary body: crucial to establish LT declarative memory
- LT declarative memory: mem that can be verbally retrieved and reported
- Ex. facts (current president)
- Ex. autobiographical info (personal life info, where you went to HS)
- LT declarative memory: mem that can be verbally retrieved and reported
- Memory consolidation process
- hippocampus receives lots of convergent input from cerebral cortex
- Then it processes the input by registering the spatiotemporal info for related experiences
- Then, hippocampus retains these complex patterns
- After some time (ex. years), the hippocampus transfers this info back to the original cortical areas, which is stored semi-permanently in strongly weighted synaptic connections
- Ex. Patient HM
- Had amnesia after his medial temporal lobes were surgically removed
- The medial temporal lobes were removed as a last resort to alleviate epileptic seizures
- After the surgery, his seizures stopped, but
- he can’t remember anything that happened to him since 16 yo
- can’t remember simple things: who he had for his last meal, where he lived, own age
- can’t learn the meanings of new words
- IOW: this suggests hippocampus is essential for linguistic process
- However, he has STM and can learn new motor skills
- This suggest these abilities rely on other brain mechanisms
- Ex. Patient HM
- Amygdala
- Located at the anterior tip of hippocampus
- means almond in Latin
- 1 Responsible for emo processing
- 2 Helps us assess the significance/ value of the stimuli
- 3 Sensitive to dangerous situations
- Patient SM
- Her amygdala developed abnormally in both hemispheres
- 1 So, she cannot recognize fear expressions in other people’s faces
- 2 She does not feel fear
- Researchers brought her to haunted house
- She reacted to the monsters by laughing, smiling, and talking to them
- She scared the monsters too
- She went through traumatic life events
- She only felt angry and upset, never fearful
- Amygdala helps promote adaptive b in threatening situations, and perceiving emotional prosodic patterns in speech (aka emotion in speech)
- LABEL THE DIAGRAM
- Basal Ganglia location
- 4 main structures in Basal Ganglia
- 2 structures in Striatum
- Substantia nigra fx
- How the Basal Ganglia works - 3 steps
- 5 fx of basal ganglia
- Cerebellum location
- % of neurons in the brain in here
- Purkinje neurons
- 3 fx of cerebellum
- If cerebellum is damaged, 3 main cons
- Basal Ganglia
- Basal ganglia: contains several integrated nuclei, located near the thalamus
- Basal Ganglia contains the following structures
- Striatum: includes the Caudate nucleus and Putamen
- Globus pallidus or pallidum: has a lateral and medial portion
- Subthalamic nucleus
- Substantia nigra: located in the midbrain, generates dopamine, projected into the striatum
- How the Basal Ganglia works
- Striatum receives signals from the cerebral cortex; Striatum recognizes. The signals from familiar situations (ex. I walk up to the door of my fav restaurant)
- Striatum sends this signal to 2 // routes
* “go” pathway: this pathway implicitly learn what types of actions are adaptive in certain situations (ex. push the door)
* “no-go” pathway: this pathway learns what types of actions are maladaptive in certain situations (ex. don’t pull the door)
- Striatum sends this signal to 2 // routes
- The output from these 2 pathways (i.e. recommendations on what to do or not) are sent to the frontal cortex via thalamus for further consideration
- Basal Ganglia is essential for unconscious acquisition, selection, initiation, and cessation (aka habits OR procedural skills) in motor and cog control
- It influences our motor control (ex. Parkinson’s, Huntington’s)
- It influences our cog control (ex. schizo, OCD)
- IOW: It influences overt b and covert thoughts
- Cerebellum: located behind the medulla and pons
- Aka little brain in Latin
- But, it has more than two thirds of all the neurons in the brain
- Contains Purkinje neurons
- Purkinje neurons have many dendrites, and receive 200k signals from other cells
- Cerebellum regulates muscle tone, balance, and movement control
- Damage to cerebellum: leads to loss of balance, jerking/tremoring from arms and hands, impairs articulatory control causing dysarthria (slurred speech)
- IOW: cerebellum influences movement and cognition
- Cerebellum: located behind the medulla and pons
- LABEL THE DIAGRAM
- Cerebral cortex
- Cortex in latin = ?
- Size?
- # of neurons?
- # of connections
- Grey matter - location?
- White matter location?
- 5 major lobes
- 4 visible lobes
- 1 invisible lobe
- Sulci fx
- Central sulcus
- Lateral sulcus/sylvian fissure
- 2 arbitrary lines
The Cerebral Cortex
- Most highly evolved part of human brain
- It takes up 3.5 pieces of letter sized paper; which is crumpled up to fit in the skull
- The cortex has 30 billion neurons, each neuron contacts 1000 other cells
- Gray matter: refers to the grey neuron cell bodies in the cortex
- White matter: subcortical tissue is white due to myelinated axons
The Major Lobes–—Visible and Hidden
- There are 5 lobes
- 4 visible lobes on the cerebral cortex
- Frontal
- Parietal
- Temporal
- Occipital
- 1 Invisible lobe: Insula
- Insula = island in Latin
- The borders are defined by sulci
- Central sulcus: separates the frontal and parietal lobes
- Lateral sulcus/sylvian fissure: separates the temporal lobes from the frontal + parietal lobes
- An arbitrary line: separates the occipital lobe from the parietal and temporal lobe
- This line connects the parieto-occipital sulcus (dorsal) with the preoccipital notch (aka dent) (located ventrolateral)
- The other arbitrary line is perpendicular to the line above and extends to the end of the sylvian fissure
- This separates the occipital from temporal lobe
- LABEL DIAGRAM
- Gyri
- Sulci
- 2 reasons why gyral-sulcal organization is adaptive
- Axon density in Gyri vs sulci
- How do sulci and gyri form?
- shape and size ulci and gyri: env or genetic?
Gyral–Sulcal Organization
- Gyri: bulges
- Sulci: grooves
- This gyral-sulcal organization is adaptive
- It squeezes a lot of surface area into a small space
* Two thirds of the cortex is in the sulci
- It squeezes a lot of surface area into a small space
- It reduces the amount of axonal wiring
* This reduces the distance signals travel
- It reduces the amount of axonal wiring
- In humans and other mammals, axons projecting in the gyri are denser than axons projecting in the sulci
- This suggest the gyral-sulcal patterns are caused by stiff axons constantly pushing harder against some regions on the cortical surface (like condom)
- Since the skull is a physical constraint, the pushed regions protrude outward and form gyri; the other regions bend inward to form sulci
- shape and size of gyri and sulci is mainly genetic
- This is mainly genetically influenced (slightly env influenced)
- Research showed that cortical convolutions are more similar in MZ than DZ twins
- Diagram structures
- Figure 1.17
- 2 structure in the sylvian fissure on the dorsal surface of temporal lobe (aka supratemporal plane)
- HG = Heschl’s gyrus (aka transverse gyrus)
- PT = Planum temporale
- Both are key for language and speech processing
- cytoarchitectonic organization
- cortex thickness
- # of horizontal layers?
- Layer I, II, III fx
- Layer IV
- Layer V
- Layer VI
- Define vertical columns
- diameter?
- # of neurons
- Brodmann’s map
- Which area does it map out?
- # of Brodmann areas?
- Areas range?
- Why are some #s omitted?
- 2 cons?
- Which BA area is confirmed?
- Which BA area is challenged?
- How many distinct areas does each bran hemisphere has in reality?
- Is Brodmann map a structural or functional map of the brain?
Cytoarchitectonic Organization
- Cytoarchitectonic organization: whether there is packing density, and layers of diff types of cells
- The cortex is 2-4 mm thick
- Has 6 diff layers of cells stacked
- Each layer of cells differs in morphological and connectional properties
- Layers I, II, III: communicate w/ other cortical areas
- Layer IV: receives input from thalamus
- Layer V: sends output to subcortical motor structures
- Layer VI: sends output to the thalamus
- These layers are horizontal
- There are vertical columns
- Vertical columns: perpendicular to horizontal layers; basic functional units of the cortex
- Each column is 0.4 mm in diameter
- There are 100 neurons tuned to respond to similar features from the external or internal env
- Scientists tried to make maps of the cortex
- Brodmann’s map
- the lateral and medial view of a human’s LH
- there are 43 cortical areas OR Brodmann areas (Bas)
- The areas ranged from 1 to 52
- Brodmann omitted 12-16 and 48-51 b/c he used these #s for certain areas in other mammals, but he can’t find them in humans
- In 1980s: BAs are often used w/ gyri and sulci labels to refer to specific cortical regions
- It helped interpret fMRI
- BAs weakness
- No info on the boundaries inside the sulci
- It is based on subjective observations; does not consider individual differences in anatomy
- Modern imaging methods confirmed some BAs
- Ex. BAs 44 and 45 do exist in the FL (BA 44 and 45 are usually collectively referred as the Broca’s area)
- Modern imaging methods challenged some BAs
- Ex. BAs 39 and 40 can be further carved into 7 areas
- Currently, we know that each human brain hemisphere has 150-200 distinct areas
- Main point: we should treat BA as structurally defined regions (rather than functionally)
- LABEL DIAGRAM
- Connectional Organization
- What type of axons carry info b/w cortical regions?
- Corpus callosum - what it does?
- What matter type?
- How many axons?
- What do split brain patients help rs study?
- What are Fasciculi?
- Arcuate fasciculi fx
- In which hemisphere?
- which 3 regions does it secure?
- What are the 3 connecting segments?
Connectional Organization
- Cortical regions do not work in isolation; they work together to carry out complex mental processes (ex. language)
- The signals are carried by axons that flow through white matter (like highways)
- Corpus Callosum (CC): white matter tract w/ 100 million axons that connects the 2 hemispheres
- The biggest and busiest tract
- split-brain patients allow neuroscientists to examine the behavior from each hemisphere
- Fasciculi: white matter tracts that connect diff cortical areas w/in the same hemisphere
- Arcuate fasciculi: responsible for linguistics
- In LH
- It has 3 separate branches that undergird (secure) 3 regions
- Broca’s territory: posterior part of inferior frontal gyrus (BA 44 + 45) and adj portions of middle part of frontal gyrus and precentral gyri
- Wernicke’s territory: Posterior portions of the superior and middle temporal gyri
- Geschwind’s territory: supramarginal gyrus and angular gyri
- The long direct segment: links Broca’s w/ Wernicke’s territory
- Anterior indirect segment: links Broca w/ Geschwind’s territory
- Posterior indirect segment: links Wernicke w/ Geschwind’s territory
- Arcuate fasciculi: responsible for linguistics
Connectional Organization cont
- LABEL THE DIAGRAM
- 3 other language related fasciculi
- Diffusion tractography
- Human connector
- Other language related fasciculi
- Inferior fronto-occipital fasciculus: links inferior frontal area w/ occipital area
- Inferior longitudinal fasciculus: link temporal areas w/ occipital areas
- Uncinate fasciculus: link OBF area w/ anterior temporal areas
- Main point: there are many long distance fibre tracts that tie the cortical regions together
- This allows for producing and understand language
- Diffusion tractography: measures passive movement of water along axons in white matter (uses MRI techniques)
- This allows us to reconstruct the directions of fibre tracts (as seen in Fig 1.21, 1.22)
- Human connectome: a project that maps all the connections in our brain
- Sensory, Motor, and Higher-Order Systems
- 3 primary sensory regions
- Which cortex does visual info enters?
- BA#?
- Aka?
- Location - which fissure?
- Location - which part of which lobe?
Sensory, Motor, and Higher-Order Systems
- Sensory: vision, audition, and somatosensory
- Vision
- Visual info enters the primary visual cortex in the occipital lobe
- Primary visual cortex, aka BA17, V1, Striate cortex
- This cortex is located in the calcarine fissure (Calc F), which is on the medial surface of the occipital lobe
- Sensory, Motor, and Higher-Order Systems cont 2
- Retinotopic organization
- 2 separate streams at the anterior edge of occipital lobe
- PVC has retinotopic organization
- Retinotopic organization: preserves the spatial arrangement of signals from the retina
- The PVC projects forward to other occipital areas that are specialized to extract info on specific attributes of visual stimuli (ex. form, color, motion, depth)
- At the anterior edge of the occipital lobe, the flow splits into 2 separate streams
- “what” pathway: extend to ventral temporal lobe, it recognizes objects based on shapes, colors, and textures
- “where” path: extend to posterior parietal lobe, represent the locations of objects in relation to each other and in relation to the viewer’s body
* Aka “how” pathway: promotes visuomotor transformations for object-directed actions- Ex. convert the position of a coffee mug based on the eye-centred coordinates into hand-centred coordinates
- “where” path: extend to posterior parietal lobe, represent the locations of objects in relation to each other and in relation to the viewer’s body
As a result, you can reach out and grasp the cup
- LABEL THE DIAGRAM
- Sensory, Motor, and Higher-Order Systems cont 3
- Auditory
- Location - gyrus?
- Location - fissure?
- Tonotopic organization
- hemispheric asymmetries
- Where are complex auditory fx done? - 3 parts
- Somatosensory
- postcentral gyrus fx
- BA #s?
- aka?
- Define Somatotopic organization
- large cortical areas means what?
- 3 types of signals it processes
- What info do signals from tendons provide?
- 3 areas that do complex processing of somatosensory info?
- Auditory
- Auditory
- Primary auditory cortex is in the Heschl’s gyrus (located in the Sylvain fissure)
- Primary auditory cortex area has a tonotopic organization
- Tonotopic organization: cortical columns next to each other respond specifically to sound frequencies that are next to each other
- PAC has hemispheric asymmetries: left PAC has more input from the right ear and vv
- Complex auditory functions are done in the Planum temporale (PT), superior temporal gyrus, and middle temporal gyrus
- Somatosensory cortex (aka postcentral gyrus)
- postcentral gyrus (i.e. BA 1,2, and 3): Signals for felt shape and texture of objects, temp, pressure, and pain are first processed here
- These BAs have diff fx; but are collectively referred to the primary somatosensory cortex (i.e. S1)
- This region has rich somatotopic organization
- Somatotopic organization: cortical representation that captures the body layout in a vertical way, upside down
- w/ disproportionately large amounts of cortical territory for the most sensitive parts of the body (i.e. hands, feet, lips, tongue, and genitals)
- NOTE: there is some discontinuities
- Ex. face area is not next to the neck area; it is below the hand area
- Ex. Genital area is not next to the upper leg area, but below the food area
- the primary somatosensory cortex processes singals from the skin, muscles and tendons
- Signals from the tendons carry proprioceptive info about the relative positions of one’s body parts in space and about the forces acting on them
- Sophisticated analyses are done by the posterior and inferior parietal lobe, and the insula
- Sensory, Motor, and Higher-Order Systems cont 4
- Motor cortex
- aka - gyrus?
- aka - cortex?
- aka - BA#?
- BA# for higher lv motor programming
- what are the 2 areas
- There fx
- 2 higher order networks
- Executive/supervisory network fx
- 2 areas it engages
- Mentalizing network fx
- 3 areas it engages
- Executive/supervisory network fx
- Motor cortex
- Motor cortex (aka precentral gyrus)
- Postcentral gyrus (somatosensory cortex) matches the precentral gyrus (motor cortex)
- The precentral gyrus is the primary motor cortex; correspond to BA4, aka M1
- Many higher lv motor programming regions are in BA6
- Premotor cortex is in the lateral BA6
- Supplementary motor area is in the medial BA6
- Premotor cortex: contributes to externally triggered actions (ex. slam on brakes when you see a red light)
- Supplementary motor area: contributes to internally triggered actions (ex. I get up and decide to go for a drive)
- Higher-order systems
- They engage other networks in other lobes of the brain
- There are 6 other cortical areas
- Talk about 2
- Executive/supervisory network
* Depends on regions in the lateral PFC (BA 9, 10, 44, 45, and 46) and inferior parietal cortex (BA 39, and 40)
* They are used in psychologically demanding situations that needs reasoning, planning, troubleshooting, multitasking, overcoming habitual responses, and keeping info in activated state
- Executive/supervisory network
- Mentalizing network
* Supported by medial PFC (BA 9 and 10), posterior cingulate (BA 23 and 31) and temporoparietal junction (intersection of BA 22, 37, and 39)
* They help in social interaction; it is engaged when one tries to understand the overt b of other people, and covert mental states (ex. beliefs and desires)
- Mentalizing network
- taxi drivers has larger ??
- musicians has more ?? matter in what areas?
- phoneticians have more tissue in ??
- what leads to more tissue?
- Is this nature or nurture?
- phoneticians have more ?? matter in what area?
- How many HG do they have in LH?
- Is this nature or nurture?
- What does this suggest
Box 1.1: Born for Phonetics?
- Being an expert is influenced by structural and functional changes in the brain
- Ex. London taxi drivers have larger hippocampus
- Ex. Musicians gave more grey matter in auditory, motor, and visuospatial areas
- Phoneticians (language experts)
- Exp: Golestani et al 2011
- Analysed the neuroanatomy of
- 17 ppl w/ formal training in phonetic transcription
- 16 controls
- Results
- Phoneticians had greater SA and volume in the pars opercularis (a part) of the left inferior frontal gyrus
* Aka the posterior portion of Broca’s area, known for phonological processing
* The more training the phoneticians had; the more tissue detected in this area
* This suggests transcriptional experience result in neural plasticity
- Phoneticians had greater SA and volume in the pars opercularis (a part) of the left inferior frontal gyrus
- Phoneticians had more grey matter in the Heschl’s gyrus bilaterally (in L and RS
* They also had a split or duplicated Heschl’s gyrus in the LH
* Unlike Broca’s area, this area is not influenced by the length of training the phoneticians had
* This suggests genetic factors are in play
- Phoneticians had more grey matter in the Heschl’s gyrus bilaterally (in L and RS
- Analysed the neuroanatomy of
- Since gyri pattern stabilized by 7 yo
- This may make these ppl more likely to be phoneticians or work in areas using detailed auditory processing
- IOW, they are born for phonetics
- Which hemisphere does more language processing?
- Broca area
- Location - gyrus?
- pars ?? and pars ??
- Wernicke
- Location gyrus?
- Arcuate fasciculus
Language-Related Regions: Broca’s Area, Wernicke’s Area, and Beyond
- Neural system for core components of language is located in separate areas
- Human brain has a strong left hemisphere dominance for language
- It has 2 main regions in this network
- Broca’s area: includes the posterior portion of the inferior frontal gyrus, specifically the pars opercularis (BA 44) ad pars triangularis (BA 45)
- Wernicke’s area: includes the posterior third of the superior temporal gyrus; it extends to the adjacent temporal and parietal regions
- These 2 regions form a simple network
- Broca’s area: represent the “motor images” of words, it is key for speech production
- Wernicke’s area: rep the “auditory images” of words, it is key for speech perception
- The 2 regions communicate via the arcuate fasciculus
- Complex linguistic processes are done by cortical areas working together
Neuropsychology
- What do rs study in the field to understand the normal system?
- 2 aims of neuropsychology
- 19 C theory of the brain
- equipotential
- How is it disputed?
- 2 types of dissociation
- single dissociation
- 2 alternative explanations
- 2 solutions
- double dissociation
- Describe Ex. Linguistic distinction b/w nouns and verbs for single and double dissociation
- single dissociation
- Researchers study patients with brain damage to make new discoveries on the normal system’s design
- Neuropsychology investigations have 2 general aims
- understand the cog architecture of language
- understand neural architecture
Single and Double Dissociations
- 19C: ppl think brain operates as a unit
- Equipotential: Each part contributes equally to every ability
- If specific parts of the brain is damaged, specific abilities are impaired
- Ex. damage Broca area → impair speech production
- Dissociations are behavioural data
- There are 2 main types
- Single dissociation
* Patient is given 2 diff tasks and performs sig worse on X than Y
* This infers that patient’s lesion has selectively disrupt some mental representations or computation that are needed by the poorly done task but not the better done one
* Cons: this may not be an accurate conclusion; there are multiple explanations- In some situations, a single dissociation reflects specific mechanisms for 1 of the 2 tasks is disturbed
- In other cases, this may reflect that the lesion disturbed the general processing resources that are needed for both tasks, and one of them needs more resources
- Or the affected task may be harder
* Solution - Ensure the tasks are matched on as many variables as possible (show similar accuracies, RT from healthy controls)
- Double dissociation
- Single dissociation
- Double dissociation
* Patient A does sig worse on task X than on task Y; Patient B does sig worse on task Y than on task X
* The reduces the likelihood that patient’s performance is due to task difficulty
* This suggests that each task needs some unique mental structure/operation and can be selectively disrupted
* And the ability to do accomplish each task is impaired independently of the other
* Double dissociation provides compelling evidence that the 2 tasks rely somewhat segregated cog mech
- Double dissociation
- Ex. Linguistic distinction b/w nouns and verbs
- Method: single dissociation - You gave patient 2-word retrieval tasks
- name pics w/ objects using the most appropriate noun
- name pics w/ actions using the most appropriate verb
- Result: he did sig worse on object-naming task than action-naming task
- Conclusion: You may conclude that his injury has compromised specific mechanisms essential for producing nouns but not verbs
- May not be true
- If the target nouns in object-naming task is way longer and less frequent than the target verbs in the action-naming task
- Ex. orangutan vs walk
- The patient may have more trouble accessing nouns than verbs as the object-naming tasking was more challenging
- The patient’s injury then exacerbated his sensitive to the difference in difficulty
- If you matched the 2 sets of target words for length and frequency, and showed most normal ppl produce both kinds of responses w/ similar speed and accuracy -> the evidence here better supports the conclusion
- A better way is you demonstrate another patient who is tested w/ the same material showed the opposite dissociation
- i.e. did sig worse on the action naming task than object naming task
- This is a double dissociation
- You can support the argument that 2 patients’ impairments most likely affect non-overlapping cog mech
- You can also support that patient A had an impaired mech essential for noun but not verb production; patient B = opp
- Method: single dissociation - You gave patient 2-word retrieval tasks
- Neuropsychology cont 2
- Matzig et al 2009
- Methods
- Results
- Rapp and Caramazza 2002 - In-depth study of patient KSR
- Method
- Results
- 2 explanations
- Groups and indiv
- Group: pros, 3 cons
- Syndrome
- Indiv
- Matzig et al 2009
- Matzig et al 2009
- 63 patients w/ noun-verb dissociations
- The diff b/w 2 categories of words = 30%
- Findings suggest that the 2 abilities (i.e. name objects w/ nouns, name actions w/ verbs) depend on at least partially distinct cog mech that can be selectively disrupted
- Note: noun-related and verb-related picture naming deficits can b0 due to problems at several different lv of representation and computation
- Ex visual, conceptual, grammatical, and phonological
- Need more careful investigation
- Rapp and Caramazza 2002
- In-depth study of patient KSR
- There is double dissociation in KSR who has brain damage
- There is an interaction b/w v of grammar category and output modality
- Patient had sig more trouble w/ nouns than verbs in oral production BUT more trouble w/ verbs than nouns in written production
- Method: sentence completion paradigm w/ noun-verb homophones (same word diff meaning)
- Show patient KSR a “carrier sentence” & a pic of the object or action
* Carrier sentence - Ex. Give me the (fish); I want to (fish)
- Show patient KSR a “carrier sentence” & a pic of the object or action
- Results: produced spoken nouns less accurately (40%) than spoken verbs (80%)
- Produced written verbs less accurately (50%) than written nouns (90%)
- 2 possible explanations
- The meanings of nouns and verbs are segregated w/in the semantic system
* Although both types of concepts are still intact for KSR, she has 2 impairments
* 1. Issue with the object concepts/nouns to speech (phonology)
* 2. Issue with action concepts (verbs) to writing (orthography)
- The meanings of nouns and verbs are segregated w/in the semantic system
- The forms of nouns and verbs are separated in the speech and written output. KSR has 2 impairments
* 1. Can’t form nouns in speech
* 2. Can’t form verbs in writing
- The forms of nouns and verbs are separated in the speech and written output. KSR has 2 impairments
- 2 possible explanations
- Main point: detailed neuropsychological studies uncover fine-grained disorders
- NOTE: Single and double dissociations can apply to other domains in language (not just noun-verb tasks)
Groups and Individuals
- Group studies and individual studies each have their own pros and cons
- Group studies
- Pros: allow rs to test hypothesis on correlations b/w disturbances from particular mental abilities and lesions
- If a deficit reliably results from damaging a specific area, we should conduct group studies with
- patients w/ + w/o impairment
- patients w/ + w/o injury
- If a deficit reliably results from damaging a specific area, we should conduct group studies with
- Cons: limited on how carefully behavioural criteria is defined
- Each patient has individual set of symptoms due to idiosyncratic brain damage
- Group studies need to clearly specify the type of impairment that affects the behaviour to sort patients
- Many rs focused on groups of aphasic patients who belong to certain “syndromes”
- Syndrome: collection of symptoms that tend to co-occur statistically
- Ex. Broca’s aphasia is a syndrome
- Some Symptoms:
- Can’t produce complex sentences
- Worse retrieval of verbs than nouns
- Poor articulations
- Some Symptoms:
- Most rs treat patients as similar in their studies
- Caramazza et al think this is invalid
- These patients do not have all the same symptoms
- They think syndromes like Broca’s aphasia lack empirical and theoretical use
- Some think we should sort patients based on presence or absence of particular symptoms
- Issue: symptoms like “worse retrieval of nouns than verbs in picture naming tasks” can have several different causes (see Rapp and Caramazza 2002 abv)
- Pros: allow rs to test hypothesis on correlations b/w disturbances from particular mental abilities and lesions
- Individual studies
- Provide insight on how the mind/brain is organized
- Ex. Patient HM in Ch 1 helped rs develop theories on the role of hippocampus for LTM, and amygdala for emo processing
- Neuropsychology cont 3
- MRI Basic mechanism
- Brain is mainly made of?
- 4 steps
- Why can we see different type of organic tissues?
Visualizing the Brain: The Basic Mechanics of Magnetic Resonance Imaging
- First technique: computed axial tomography (CAT/ CT)
- Common technique: MRI
- Obtains structural images of the brain in vivo
- MRI Basic mechanism
- Brain consists mainly of water; Each water molecule has 2 H atoms, and their protons are constantly spinning
- This creates many tiny magnetic fields
- Normally, the orientation of the magnetic fields is random
- MRI machine changes the orientation by applying a strong magnetic field (1-10T) on the water molecules which are affected by gravity’s magnetic field (0.001 T). As a result, the protons align with this magnetic field.
* Higher T/magnetic field, higher resolution
- MRI machine changes the orientation by applying a strong magnetic field (1-10T) on the water molecules which are affected by gravity’s magnetic field (0.001 T). As a result, the protons align with this magnetic field.
- Apply radio wave; this cause protons to absorb the wave energy and shift 90 deg
- Once the radio wave is turned off, the protons relax and align back with the external magnetic field. They emit a detectable signal.
- We can see organic tissues (ex. white and grey matter) b/c they have diff densities of H atoms
- This allows us to measure the differences in the relaxion rate of protons
- Neuropsychology cont 4
- Types of brain damage
- Stroke
- Aka
- what happens?
- What is the most common type?
- What happens to it?
- 2 types of ischemia
- differences?
- What happens if it blocks brainstem?
- What happens if it blocks white/cortical matter?
- How to alleviate the deficits?
- What happens if the deficit is not alleviated
- Traumatic brain injury
- Age group this is most common in?
- 2 main types
- When are they likely to happen?
- Gabrielle Giffords
- Neurodegenerative and Infectious Diseases
- How are these diseases different that stroke and TBI?
- their 2 main targets
- the 10 disorders related to language (7 affect language in indirect ways; 3 PPA)
- disorder name
- type
- affected brain region
- PPA?
- voxel-based morphometry (VBM)
- What imaging technique?
- 2 step process
- Stroke
Types of Brain Damage
- Stroke (aka cerebrovascular accident – CVA)
- Occurs when blood supply to a particular part of the brain is interrupted
- Common type: ischemia
- Blood vessel in the brain is obstructed by a clot, and this deprives downstream tissue of oxygen
- Thrombotic ischemic stroke: the clot forms w/in the blood vessel eventually gets clogged
- Embolic ischemic stroke: clot originates in a diff part of the circulatory system (ex. heart, large vessels of upper neck and chest)
- This travels up to the brain and get stuck in the capillaries
- If it blocks sectors of the brainstem for basic life functions -> person will lose consciousness and die in minutes
- If it blocks certain cortical and white matter areas that support specific cog capacities, the person lives but the cog capacities are compromised
- Ex. strokes that block the posterior cerebral artery that supplies to occipital areas -> visual impairments
- Ex. Strokes that block the middle cerebral artery that supplies to the perisylvian areas for linguistics -> linguistic impairments
- Deficits can be partially or completely alleviated if blood flow is rapidly restored to the deprived tissue
- If not, the tissue will die and become absorbed
- This leaves a cavity that gets filled w/ CSF
- Traumatic Brain Injury
* The most frequent form of brain damage suffered by ppl under 40
* 2 main types
* 1. Closed head injury
* Occurs when person sustains a sudden blow to the head that damages the brain and leaves the skull intact
* Ex. car accidents, sporting events
* Ex.
* Superficial damage to left perisylvian territory
* Patient had aphasia, but not motor or sensory deficits
* 2. Open head injury
* Both the brain and the skull are penetrated by an object (ex. bullet, shrapnel)
* Ex. Gabrielle Giffords
* Forced to resign from her set in US House of Representatives after being shot in the head on 2011
* Remains seriously disabled- Neurodegenerative and Infectious Diseases
- Brain damage from stroke and TBI have immediate effects
- Neurodegenerative and infectious disease are progressive
- There are many disorders and all involve gradual atrophy (i.e. tissue loss) in specific regions/sets of regions in the brain
- These disorders target particular networks that
- Have a strong functional-anatomical connection
- Are sig correlated to grey matter volume
- 10 disorders have cons for language (table)
- First 7 affect language in indirect ways
- They impair certain aspects of perception, memory, cognition, and motor control that are necessary for efficient production and comprehending words/sentences
- Last 3 are PPA
- PPA = primary progressive aphasia
- PPA target core components of language circuitry
- Distinctive patterns of slowly worsening language deficits
- Distinctive patterns of regionally specific atrophy
- The 3 PPA have nonoverlapping distributions of cortical atrophy
- 3 types
- Nonfluent/agrammatic variant: tissue loss in left inferior frontal cortex
- Semantic variant: anterior temp lobe (bilaterally)
- Logopenic variant: left temperoparietal area
- First 7 affect language in indirect ways
- voxel-based morphometry (VBM)
- A type of MRI
- It divides the brain into thousands of voxels (i.e. tiny cubes)
* Each cube is a volume (similar to pixels)
* 2. determines concentration of grey and white matter in each voxel
* Rs can determine the locations and magnitudes of atrophy in patients w/ neurodegenerative/infectious diseases
* Then compare them to healthy controls
- It divides the brain into thousands of voxels (i.e. tiny cubes)
- Neurodegenerative and Infectious Diseases
- Traumatic Brain Injury
- Neuropsychology cont 5
- Tumours
- Definition
- Glioma: definition
- Growth rate
- Kinno et al 2009
- Japanese-speaking patients w/ gliomas affecting Broca’s area
- Method
- Results
- Using behavioral data and lesion data
- 3 steps Lesion Overlap and Subtraction Analysis
- Tranel and Kemmerer 2004 - understand neural basis of impaired knowledge on meanings of location prepositions
- Locative prepositions
- Part 1
- Methods
- 4 tasks
- Results
- Methods
- Part 2
- Method
- Results
- Voxel-Based Lesion–Symptom Mapping (VLSM)
- 3 steps
- Wu et al 2007 - VLSM & locative prepositions
- 3 caveats About Neuropsychological Research on Structure–Function Relationships
- 2 ways where areas are dysfunctional and may not show up on MRI
- Apraxia of Speech (AOS)
- Nina Dronkers 1996
- Method
- Results
- 3 limitations
- Argye Hillis 2004
- Methods
- Results
- What went “wrong” w/ Dronker’s study?
- Tumours
- Lesions can be due to tumors
- Tumours: masses of tissue that grow abnormally and serve no physiological purpose
- Several type (classified based on how they dev, and likelihood to recur after surgical removal)
- Glioma
* Come from white matter and expand outward -> destroy or displace neurons
* Variable rate of growth (can be v slow or fast)
* Glioma patient studies are useful
* Kinno et al 2009
* A group of Japanese-speaking patients w/ gliomas affecting Broca’s area had sig worse comprehension for passive sentences than active ones- Ex. Passive – Person A is being pushed by Person B
- Ex. Active – Person A is pushing Person B
- Original stimuli: Japanese sentences paired w/ scenes with 2 ppl
* Another study - Showed these patients’ lesion sites overlapped w/ an area that was engaged sig more by passive than active sentences based on another fMRI study
- They compared them to healthy controls who did the same task
* Since the neuropsychological data and fMRI data aligns, this shows reliable inferences can be drawn from Glioma studies
- Glioma
Relationships Between Behavioral Data and Lesion Data
- -> discuss how groups studies are conducted
- Lesion Overlap and Subtraction Analysis
- Two groups of patients
* Gp A w/ deficit of interest
* Gp B do not have it
- Two groups of patients
- Each groups has separate procedures
* Reconstruct the patients’ lesions on a standard brain template
* Calculate how much overlap for every voxel
- Each groups has separate procedures
- Lesion overlap map for patients w/ deficit minus lesion overlap map for patients w/o deficit -> remaining area = areas of damage that is linked w/ deficit
- Tranel and Kemmerer 2004
- Tried to identify the neural basis of impaired knowledge on meanings of location prepositions
- Locative prepositions:
- Ex. in, on, around, through, above, below
- Methods
- 4 tasks given to 78 brain-damaged patients (from stroke)
- Naming (80 items)
* Ppl are shown objects and are asked to orally name the location of one object relative to another
- Naming (80 items)
- Matching (50 item)
* Ppl are shown 3 spatial arrays of objects w/ a preposition
* Told to choose which array best represent the preposition
- Matching (50 item)
- Odd one out (45 items)
* Ppl are asked to choose which one involves a type of relationship that is different from the other two
- Odd one out (45 items)
- Verification (44 items)
* Ppl are shown a spatial array of abstract shapes together and a preposition
* They need to decide whether the preposition correctly describes the array
* * Results
- Verification (44 items)
- Very variable: some failed none, some failed one task, some failed all 4 tasks
- Those who failed all 4 tasks may have impaired knowledge on the location preposition meanings
- Those who only failed only 1 task had unimpaired knowledge on meanings but may have individual disturbances on certain processes
- Part 2
- Rs created lesion overlap maps for those w/o impairments; and one for those w/ impairments
- Then they subtract the maps from each other
- Result shows defective knowledge on the meanings of location prepositions is associated w/ damage in some areas in LH
- The cortex and underlying white matter in the inferior frontal, inferior parietal, and posterior superior temporal regions (red, orange, yellows)
- The analysis includes patents w/ the deficit of interest and those w/o
- So, the results provide strong evidence that the lesions mentioned are more likely than not to cause the deficit
- Voxel-Based Lesion–Symptom Mapping (VLSM)
- Administer a task to patients w/ various lesions
- Patients’ lesion sites are transferred to a standard brain template
* For each voxel, 2 gps of patients are formed:- Those w/ brain lesions vs those w/o
- Patients’ lesion sites are transferred to a standard brain template
- For each voxel, rs do a t-test to compare the behaviour performances of patients in the lesioned and non-lesioned groups
* The resulting t-values measures the degree on whether decreasing task performance is related to the presence vs absence of certain brain areas being damaged
- For each voxel, rs do a t-test to compare the behaviour performances of patients in the lesioned and non-lesioned groups
- IOW, VLSM allows rs to identify the neural reasons of deficits, quantify brain-behaviour relationships w/o classifying patients based on their impairment
- Wu et al 2007
- Used VLSM to study impaired knowledge of meaning of location prepositions
- 14 patients w/ LH lesions
- They do several tasks the sentence w/ location prepositions w/ 1 of 4 pics
- Results: accuracy range b/w 43% to 100%’ mean = 86%
- The lesioned areas are consistent w/ those from Tranel and Kemmerer (2004 – abv)
- A Few Caveats About Neuropsychological Research on Structure–Function Relationships
- 3 caveats
- To infer a causal relationship b/w an impaired ability and damage to a specific region, need to show that
* Patients w/ deficit have lesions at that site
* Patients w/ lesions at that site tend to have the deficit
- To infer a causal relationship b/w an impaired ability and damage to a specific region, need to show that
- Deficit-lesion correlations for those w/ stroke/TBI in the chronic period can be diff from those in the acute period
* Chronic period: 6+ mo after lesion onset
* Acute period: less than 6 mo after lesion onset
* This is b/c acute patients w/ small lesions recover fast; the intact areas “take over” the affected fx
- Deficit-lesion correlations for those w/ stroke/TBI in the chronic period can be diff from those in the acute period
- Some impairments may be due to areas that are not structurally damaged
* These areas are dysfunctional and may not show up on MRI
* 2 ways
* A. Hypoperfusion: receives enough blood supply to survive but not enough to operate normally
* B. Diaschisis: they depend on axon input from the site of structural damage; but the input is no longer available
- Some impairments may be due to areas that are not structurally damaged
- Apraxia of Speech (AOS): disorder of articulatory programming in Broca’s aphasia
- AOS affect high-level motor aspects of orchestrating speech
- This leads to distorted consonants, vowels, and prosody
- Patients know what they want to say and how it should sound, but cannot coordinate the articulators (i.e. lips, tongue, jaw, and palate) to produce the output
- Nina Dronkers 1996
- Showed 25 chronic stroke patients w/ AOS had 100% lesion overlap in one LH region – superior anterior part of the insula
- 19 chronic stroke patients w/ AOS had that damage
- 3 limitations (related to 3 caveats above)
- Results show that AOS is associated w/ a damaged area of insula; but it doesn’t tell if damage to that area give rise to AOS
* It is possible that AOS may also involve damage in other areas
- Results show that AOS is associated w/ a damaged area of insula; but it doesn’t tell if damage to that area give rise to AOS
- All the patients were chronic; acute patients may show diff deficit-lesion correlation
- The study only focused on structural damage
* Other areas that are intact but are dysfunctional by contribute to AOS
- The study only focused on structural damage
- Argye Hillis 2004
- Addressed the 3 limitations in Dronker’s study
- Methods
- Selected 80 stroke patients based on site of structural damage
* 40: lesion on any part of the left insula
* 40: spared that area
- Selected 80 stroke patients based on site of structural damage
- Patients were eval for AOS when they were acute (24 hr of stroke onset)
- Patients were scanned of tissue damage, and also areas of hypoperfusion (sig reduced blood flow)
- Results
- Abnormalities in region of interest (superior anterior part of left insula) is not sig related to AOS
- 12 out of 29 patients (40%) who had damage or hypoperfusion in that area showed AOS
- 19 out of 51 patients (40%) who did NOT hv damage or hypoperfusion in that area showed AOS
- AOS is actually associated w/ abnormalities in Broca’s area
- 26/30 (90%) who had damage or hypoperfusion in that area showed AOS
- 5/50 (10%) who did NOT hv damage or hypoperfusion in that area showed AOS
- Abnormalities in region of interest (superior anterior part of left insula) is not sig related to AOS
- What went “wrong” w/ Dronker’s study?
- The insula is the most vulnerable to stroke due to anatomy
- Maybe 80% of Dronker’s chronic patients had damage to Broca’s area, while the remaining patients had hypoperfusion in that area
Functional Neuroimaging
- aka
- Vampire theory
- Fulton 1930 & Walker who had many congenitally abnormal blood vessels in occipital cortex
- Positron Emission Tomography (PET)
- fx
- process
- spatial resolution & temporal resolution
Functional Neuroimaging
- Aka hemodynamic methods (b/c vampire theory)
- PET & fMRI (more common)
- Map the function in human brain
- Vampire theory: the more active regions suck more blood
- Key process
- When the cog task uses a particular brain area, the active neurons in that area rapidly consume the oxygen available in the local capillaries
- A few seconds later, there is an overabundance of oxygenated blood
- Fulton 1930s
- Dr. Fulton worked w/ Walter who had many congenitally abnormal blood vessels (arteriovenous malformation) in occipital cortex
- It causes headaches and visual disturbances
- When blood pass through those vessels intensely, it produces a pulsing sound that the patient hears as a humming sound
- Dr. Fulton can also hear it when putting a stethoscope at the back of patient’s head
- Dr. Fulton found that the rushing sound is correlated w/ Walter’s heartbeats and visual experiences
- Ex. If Walter lied in the dark for a few minutes and suddenly use his eyes OR reading smth attentively, the sounds gets louder
- This shows that changes in blood flow reflect changes in neural activity in certain regions, and this affect cog changes
Two Techniques
- Positron Emission Tomography (PET)
- Measures regional cerebral blood flow, which infers regional neural activity
- The machines tracks the distribution of radioactive isotopes throughout the brain
- Rs create an isotope in a medical cyclotron, and place it in water
- This radioactive water is sent to the imaging facility, and rs inject it into the subject’s bloodstream. The bloodstream carries the radioactive water into the subject’s brain.
* 15 O is the most common isotope used
* It has 8 p+ and 7 n0
* When it decays, it releases a proton that is +vely charged (i.e. positron)
* The positron travels and is attracted to surrounding/ambient electron; this causes the electron and positron to be destroyed (annihilated)
* As a result, 2 photons are released in opposite directions
* These photons exit the head and are picked up by the rings of detectors in the PET scanner
* The computer reconstructs the annihilation location in the subject’s brain
* If there is a large # of annihilation events in an area, this suggests there is more blood flow in that area. This in turn indicates there is more neural activity
- This radioactive water is sent to the imaging facility, and rs inject it into the subject’s bloodstream. The bloodstream carries the radioactive water into the subject’s brain.
- Spatial resolution: 10mm (kinda bad)
- Temporal resolution: 30s (bad)
- Reason: need to average the data over the length of time to get a good signal-to-noise ratio??
Fx neuroimaging cont 2
- fMRI
- What is it sensitive to?
- BOLD
- 12 second hemodynamic response function (4 steps)
- Is BOLD correlated to input or output processing of neurons
- Spatial and temporal resolution
- 3 Pros of fMRI over PET
- 2 Cons
- Functional Magnetic Resonance Imaging (fMRI)
- Sensitive to degree of oxygenation of blood in diff parts of brain
- Blood oxygenation level dependent signal (BOLD)
- Endogenous contrast agent: deoxygenated blood reduces the MRI signal; oxygenated blood increases this
- When hemoglobin is not carrying any oxygen, it behaves like a small magnet and disrupts the local magnetic field
- This reduces the signal received by the fMRI machine
- When hemoglobin is carrying oxygen, it is less magnetic
- The fMRI can still detect them as a small increase in resonance signal
- 12 second hemodynamic response function
- When neurons in a specific area increase in activity, they consume the oxygen that is immediately available
- As a result, there is more deoxygenated blood in that area, and the fMRI will pick up a small decrease in BOLD signal for 2s
- In the next 5s, more oxygenated blood is detected in that area, and the fMRI detects this as a gradual increase in the BOLD signal
- For the next 5s, the signal will return to baseline and briefly undershoots
- The BOLD signal maybe more correlated to the input processing of neurons rather than output
- Spatial resolution: 1-3 mm
- Temporal resolution 50-100 ms
- Pros of fMRI over PET
- Cheaper: doesn’t need a medical cyclotron
- Safer: doesn’t use radioactive isotopes
- Better spatial and temporal resolution
- Cons
- It is very noisy
- BOLD signals are distorted near air-filled cavities
* It is tricky it get data from some brain regions, esp the anterior temporal lobes located near the sinuses
* (rs found a way around this)
- BOLD signals are distorted near air-filled cavities
Fx neuroimaging cont 3
- Standardized Three-Dimensional Coordinates for Defining Stereotaxic Brain Space
- Units?
- What do we do in fMRI studies
- Origin?
- x axis plane?
- y axis plane?
- z axis plane?
- 2 diff atlases/3D grids
- Fedorenko and Kanwisher 2009
- Cons of analysing multiple subjects for fMRI
- Solution
- 3 steps
Standardized Three-Dimensional Coordinates for Defining Stereotaxic Brain Space
- In fMRI studies, rs transform the anatomic confiscation of each subject to a standard brain template, then they combine data across subjects
- Stat sig activations are identified and reported in the common stereotaxic space of the standard brain template
- The brain template uses the x,y,z coordinate system
- The origin is the anterior commissure
- X-axis: right-left dimension (right = +ve; left = -ve)
- Y-axis: anterior-posterior (anterior = +ve; posterior = -ve)
- Z-axis: superior-inferior (superior = +ve; inferior = -ve)
- X-axis: right-left dimension (right = +ve; left = -ve)
- 2 diff atlases/3D grids (unit: voxels)
- Talairach and Tournous
* Based on anatomical data from 1 post-mortem brain
- Talairach and Tournous
- Montreal neurological institute (MNI) 1994
* Based on MRI scans from 305 healthy subjects
- Montreal neurological institute (MNI) 1994
- They are similar but not identical
- Old studies voxel size: 3-5 mm
- New studies: 1 mm
- Potential cons of analysing multiple subjects for fMRI
- Fedorenko and Kanwisher 2009
- This may obscure indiv diff in neural organization of language by removing anatomical variability b/w ppl’s brains
- Potential solution: Plot each subject’s unique functional data on his/her anatomical data
- Locate a region of interest (ROI) in each subject
* Ex. Fusiform Face Area – sensitive to seeing faces
- Locate a region of interest (ROI) in each subject
- Test for other response properties for that ROI
* Ex. See if FFA is more sensitive to upright vs inverted faces
- Test for other response properties for that ROI
- Conduct analyses across subjects using data from corresponding functional regions rather than drawing from the same locations in Talairach/NMI space
- May provide more insight
- Fedorenko and Kanwisher 2009
Fx neuroimaging cont 4
- Blocked Versus Event-Related Designs
- Block design
- When do we use it? (neuroimaging technique)
- fx
- How it works
- fMRI study design options
- block design
- 2 differences compared to other techniques when using block design
- event-related design
- definition
- how it works
- 3 pros
- block design
Blocked Versus Event-Related Designs
- How should we order individual trials in experimental condition?
- Ex. You want to identify and compare brain regions that respond to words for animals (ex. rabbit) and words for tools (ex. pencil, knife)
- -> How do we sequence the trials for animal words and tool words?
- This depends on the imaging technique
- PET
- Need to use block design b/c PET has poor temporal resolution
- Block design
- Trials for the same experimental condition are grouped together in blocks
- Here, the subjects must do the same type of task for the same type of stimuli throughout the block
- Ex. You set up 3 blocks in your PET study (each block = 1 min)
- Block 1: Condition A – ppl read words for animals
- Block 2: Baseline condition – ppl lie in the scanner; do nothing
- Block 3: Condition B – ppl read words for tools
- These blocks are separated by 10 min periods – this is to allow time for the radioactive isotope subjects receive at the beginning of each block to decay
- Hypothetical results:
- Strongest signal: Block 1/Condition A- read words for animals
- Weakest signal: Block 2/Baseline – rest
- In b/w: Block 3/Condition B – read words for tools
- fMRI
- Trials for the same experimental condition are grouped together in blocks
- Since it has better temporal resolution, you have more design options (2 options)
- Option 1: You can use block design, but there will be
- More blocks per condition
- Shorter blocks (30s)
- Same hypothetical results:
- Strongest signal: Block 1/Condition A- read words for animals
- Weakest signal: Block 2/Baseline – rest
- In b/w: Block 3/Condition B – read words for tools
- Option 2: Event-related design
- The trials belonging to diff experimental conditions are randomly scattered
- Each trial has its own hemodynamic response
- These indiv signals are later extracted and averaged based on the condition
- Same hypothetical results
- Strongest signal: Condition A- read words for animals
- Weaker singal: Condition B – read words for tools
- Why are event-related design popular?
- Allow rs to randomize stimuli
* Reduces the chance the results are influenced by habituation, anticipation, or strategic processing (which r more likely in block design)
- Allow rs to randomize stimuli
- There’s more experimental flexibility than block design
* Trials can be sorted by diff criteria- Ex. conditions, uncontrollable factors (trials subjects responded incorrect)
- There’s more experimental flexibility than block design
- Can see more details on amplitudes and time trends of hemodynamic response in diff brain regions
Experimental paradigms
- Which study design are experimental paradigms usually used w/?
- Subtraction paradigm
- What study designs can used this paradigm?
- What neuroimaging methods can use this paradigm?
- Methods - how to use
- Narain et al 2003: Aims to disclose brain regions linked w/ auditory processing of intelligible vs unintelligible sentences
- 4 conditions
- Methods
- Final activation map
- Correlation paradigm
- What study designs can used this paradigm?
- How it works
- Mobbs et al 2010 - Looked at the neural activity associated w/ monitoring the threat value of a tarantula
- Methods
- Results
- Davis and Johnsrude 2003 - Used correlation paradigm to further explain the neural underpinnings of intelligible and unintelligible
- Methods
- 5 conditions
- 3 diff degrees of intelligibility
- Results
- Subtraction paradigm
- Correlation paradigm
- Follow up analyses
- Multivariate Pattern Analysis
- How is it different from subtraction and correlation paradigm?
- What it does?
- Mur et al 2009/ Raizada et al 2010
- orthogonal pattern detection
- Abrams et al 2013 -Used MVPA to examine the neural substrates that process intelligible vs unintelligible utterances w/ better precision
- Methods
- Analysis
- subtraction
- MVPA
- Results
Some Basic Experimental Paradigms
- Subtraction, correlation, and pattern analysis are mainly used w/ event-related design, but occasionally w/ block design
- Subtraction paradigm
- First paradigm used in fx neuroimaging
- Can be used with blocked and event-related designs
- Used by fMRI and PET rs
- Helps rs isolate neural correlates of specific cog capacities
- Study design: 2 conditions
- Experimental: ability of interest
- Baseline/Control: does not include ability of interest, equivalent in other aspects
- Study design: 2 conditions
- Collect imaging data
- Map of brain activity w/ experimental condition “-“ map of brain activity w/ control condition
* The regions that still show up is sig engaged in the experimental condition; this is treated as uniquely contributing to the ability of interest
- Map of brain activity w/ experimental condition “-“ map of brain activity w/ control condition
- To enhance reliability, we include
- multiple experimental conditions that require the ability of interest (Ex. conditions A and B)
- multiple control conditions that do not (Ex. C and D)
- This allows rs to conduct conjunction analyses that increase the likelihood of pinpointing brain regions responsible for the interested ability
- Ex. If each experimental condition is well-matched w/ a particular control condition
- Ex. A w/ C, B w/ D
- Perform separate subtractions b/w corresponding conditions
- Conjoin outcomes of the independent analyses [(A – C) + (B – D)]
- The resulting brain map is quite restricted, and helps narrow the neural underpinnings of specific cog capacities
- Ex. If each experimental condition is well-matched w/ a particular control condition
- Narain et al 2003
- Aims to disclose brain regions linked w/ auditory processing of intelligible vs unintelligible sentences
- 4 conditions: 2 using intelligible stimuli, 2 using unintelligible stimuli
- Intelligible conditions
- A. Speech (Sp): normal sentences
- B. Vocoded speech (VCo): sentences that are artificially altered to have a rough sound quality but still can be understood
- Unintelligible conditions
- C. Rotated speech (RSp): Sentences that are spectrally rotated (i.e. inverted) so they sound like “alien” language;
- but still have phonetic features (ex. voiceless fricatives – “f”, “th”)
- D. Rotated vocoded speech (RVCo): Sentences that have been vocoded and spectrally rotated (i.e. inverted) so they sound like intermittent fluctuating static
- C. Rotated speech (RSp): Sentences that are spectrally rotated (i.e. inverted) so they sound like “alien” language;
- 11 ppl listened to blocks of stimuli from each condition during fMRI scanning
- All state they can only understand stimuli 2 out of 4 conditions
- Rs identified the brain regions that mediate extracting meaning from intelligible utterances using the “subtraction” method
- [(A – C) + (B – D)]
- [(Sp – RSp) + (VCo – RVCo)]
- Do 2 separate subtractions
* Each involves contrasting the activation evoked by intelligible stimuli against the matched set of unintelligible stimuli
* Intelligible and unintelligible conditions differ only by spectral rotation
- Do 2 separate subtractions
- Conjoin (add) activation maps from the 2 separate subtractions; this identifies the commonality
* This captures brain areas that respond to both intelligible stimuli
* This rule out areas that respond to only one intelligible stimuli and areas that respond to both unintelligible stimuli
- Conjoin (add) activation maps from the 2 separate subtractions; this identifies the commonality
- Final activation map
- Only 3 clusters of voxels are stat sig
- They are in the left lateral temporal lobe
- Some portion overlap with Wernicke’s area,
- Damage to that area disrupts phonological and lexical aspects of spoken language comprehension
- It’s possible lateral temporal region contributes to high-level auditory sentence processing, not low-level acoustic and phonetic info
- Note: analysis was restrictive
- Correlation paradigm (aka parametric paradigm)
- Compatible w/ blocked and event-related design
- The ability of interest here is a continuous variable that can vary; it is not all-or-nothing
- Subjects perform a series of tasks that uses the ability of interest in diff extent
- Rs look for brain regions where the activity level changes correspondingly
- Mobbs et al 2010
- Looked at the neural activity associated w/ monitoring the threat value of a tarantula
- Ppl were placed in fMRI, one foot is in a box w/ 5 compartments
- Ppl think they were seeing a live camera feed where a rs move a large tarantula from one box to another, closer/farther from their foot
* Reality: they are liking at a pre-recorded clip
- Ppl think they were seeing a live camera feed where a rs move a large tarantula from one box to another, closer/farther from their foot
- Results from parametric regression analysis
- As the spider got closer to the foot, brain activity increased in anxiety-related areas
- Dorsal anterior cingulate cortex, midbrain nuclei
- As thee spider got farther from the foot, the brain activity progressively increased in areas that are linked w/ passive coping w/ distant dangers
- Anterior orbitomedial PFC
- As the spider got closer to the foot, brain activity increased in anxiety-related areas
- This reveals the neural circuitry for arachnophobia
- Davis and Johnsrude 2003
- Used correlation paradigm to further explain the neural underpinnings of intelligible and unintelligible
- Intelligibility is on a continuum
- Used fMRI, subjects listened to diff stimuli
* Undistorted condition- A: Speech: normal sentences
* Partially distorted conditions - B: Vocoded speech: sentences altered to sound rough but intelligible (similar to Narain et al 2003)
- C: Segmented speech: sentences altered by dividing the speech stream into separate chunks and replace some parts w/ signal-correlated noise
- These parts retain many original acoustic features but lack recognizable sounds
- D: Speech in noise: sentences are placed in the background of continuous speech spectrum noise?
* Completely distorted condition - E: Signal-correlated noise: sentences altered in the same way in the “segmented speech” condition
- Here, all of the chunks are replaced w/ signal correlated noise -> so the stimuli is completely incomprehensible
- NOTE: in the 3 partially distorted conditions, there are 3 diff degrees of distortion leading to 3 diff degrees of intelligibility
- Here, all of the chunks are replaced w/ signal correlated noise -> so the stimuli is completely incomprehensible
- Based on pilot study
- High intelligibility: 90% of words reported correct
- Medium intelligibility: 70% of words reported correct
- Low intelligibility: 20% of words reported correct
- A: Speech: normal sentences
- Used fMRI, subjects listened to diff stimuli
- The subjects pressed buttons to rate the intelligibility of each stimulus on 4-point scale
- Results of analyses
- Subtraction paradigm: compared distorted condition w/ silence
- Sig bilateral activation in Heschl’s gyrus and surrounding auditory cortices
- Corelation analyses: see which brain regions respond w/ gradual increase in BOLD signals when the intelligibility of the stimuli increases
- The following regions show Neural sensitivity to cont variation in intelligibility of stimuli:
- superior and middle temporal gyri in LH; extends anteriorly to temporal area and posteriorly angular gyrus
- Similar to #1 but distributed more anteriorly in RH
- Small part of Broca’s area
- Subtraction paradigm: compared distorted condition w/ silence
- Follow-up analyses
- There is a single voxel in the left anterior temporal lobe that was sensitive to intelligibility
- Activated strongly to undistorted condition
- Activated weakly in completely distorted condition
- Activated w/ varying intensities across 3 partially distorted conditions depending on the amount of distortion
- (i.e. 90%, 70%, or 20% intelligible)
- IOW: the voxel is not sensitive to the diff ways they are distorted (vocoded, segmented, or embedded in background noise)
- There is a single voxel in the left anterior temporal lobe that was sensitive to intelligibility
- Take away from this study: brain mechanisms for comprehension of intelligible utterances involve the LH areas mentioned in Narain et al 2003’s study
- It also involves the RH
- Here, the correlation paradigm allows rs to discover more brain areas involved
- Gradual changes in the stimuli taps into diff brain regions
- Multivariate Pattern Analysis
- A new paradigm that can decode more fine-grained patterns of brain activity to more precision than the other paradigms
- In the subtraction and correlation paradigms, each voxel is independent, and the analyses shows separate measures of signal strengths
- When we use these paradigms to look at the whole brain, it looks at the mean response of each isolated voxel in each condition
- When we use it to look at the region of interest (ROI), it spatially averages the signals from all the voxels in the region for each condition
- Limitations: this ignores the relationship b/w voxels, and this can’t detect any info that is latent (dormant)
- MVPA can identify these dormant patterns, and relate them to cog abilities/tasks
- Mur et al 2009/ Raizada et al 2010
- MVPA can help explore whether the perception of similar syllables (ex. ra and la) is associated w/ distinct levels or patterns of brain activity in the superior temporal ROI spanning 9 voxels
- If the stimuli triggered orthogonal (right angle) 4-voxel activation patterns in ROI, the conventional analysis would miss this
- Conventional analysis would generate output that shows the same activity for both speech sounds and suggest that ROI cannot discriminate b/w the two
- MVPA can expose this separate pattern, and suggest the ROI contains at least partially non-overlapping neural voxels that represent the 2 syllables
- Point: MVPA is very useful
- Abrams et al 2013
- Used MVPA to examine the neural substrates that process intelligible vs unintelligible utterances w/ better precision
- Present 20 ppl w/ 2 types of stimuli, sequenced in alternating blocks
* A: Speech (Sp): Intelligible excerpts from famous speeches in 20 C
* B: Rotated speech (RSp): same experts but spectrally rotated (inverted) as in Narain’s 2003 study
- Present 20 ppl w/ 2 types of stimuli, sequenced in alternating blocks
- Ppl play close attention to each excerpt and push a button when it ended
- Rs conducted 2 analyses: Subtraction and MVPA
- I. Subtraction paradigm/General Linear model (A – B) -> (Sp – RSp)
- II. MVPA, searchlight version
- For every voxel in the brain, a 3 x 3 x 3 neighbourhood is made, centred in the given voxel
- W/in the 27-voxel space, rs determined is they were diff
- Results
- Red: conducted subtraction/General linear model (GLM) analysis
- Areas include 3 left lateral temporal regions (as seen in Narain et al 2003)
- Most of the bilateral temporal regions (as seen in Davis and Johnsrude 2003)
- Green: MVPA/ searchlight analysis; Also detected by GLM analysis
- There are 2 patches where the multi-voxel patterns of activity were sig diff for the two conditions
- Blue: MVPA/ searchlight analysis; NOT detected by GLM analysis
- Picked out RH areas the can discriminate b/w the two conditions
- Located in temporal, parietal, and FL
- They are associated w/ auditory sensory processing
- Conclusion: results suggest MVPA can resolve inconsistencies in the literature by being more sensitive in data analysis
- Red: conducted subtraction/General linear model (GLM) analysis
Electrophysiology
- 2 Electrophysiological approaches
- 2 ways to record electrical signals of neurons
- # 1 Stimulation
- Penfield 1956
- How he mapped functional organization of the cortex?
- Results
- Stimulate Primary somatosensory cortex
- Stimulate superior temporal regionstimulated higher-order temporal regions
- Stimulate language related regions 3 effects
- Speech arrest
- Anomia
- Paraphasia
- Ojemann 1989 - directly stimulate language-related areas to map out that cortex area
- Methods - 4 steps
- 2 main findings
- 3 cons of e- stimulation
- Penfield 1956
- # 2 Recording
- Intracranial
- fx
- procedure - 2 steps
- Creutzfeldt et al 1989 finding
- Local field potentials
- What is it
- 2 ways to measure it
- Flinker et al 2011 - Studied cortical dynamics of speech perception in 3 epileptic patients
- Methods
- Results
- Extracranial
- fx
- EEG
- ERP
- 4 ERP parameters
- Why is +ve or -ve wave deviations don’t matter?
- Spatial and temporal resolution
- N400
- meaning
- Which electrode can detect N400 w/ greatest amplitude
- When does it increase
- Kutas and Hillyard - Showed the waveforms evoked by 3 diff types of sentences presented to subjects on a screen, 1 word at a time
- 3 conditions
- results
- Intracranial
Electrophysiology
- Both PET and fMRI does not directly measure brain activity; they only track the metabolic consequences
- 2 Electrophysiological approaches
- Directly stimulate specific parts in the brain and observe the effects on cognition and b
- Record electrical signals of neurons
- Intracranially: put electrodes in the brain to record the firing of single cells or a cluster of cells
- Extracranially: put electrodes n the scalp to record cells firing
Stimulation
- Penfield 1956
- Direct electrical stimulation to map the functional organization of the cortex
- Did this on patients’ w/ epilepsy before removing the brain areas that were thought to cause seizures
- Used local anaesthesia only as there are no pain receptors in the brain
- Found that stimulating some areas induce “+ve responses”
- Ex. stimulate PMC cause involuntary movements in specific body parts
- Ex. Stimulate Primary somatosensory cortex evoked feelings in specific body parts; they correspond to the somatosensory homunculi
- Ex. Stimulate occipital regions cause visual hallucination (color, starts, light flickers)
- Ex. Stimulate superior temporal regions cause auditory hallucinations (ringing, clicking, buzzing)
- Ex. If he stimulated higher-order temporal regions, this replays the patient’s past experiences that were richer than ordinary recollections
- flashbacks/dreams
- This is rare
- Stimulation to language-related areas can induce “-ve responses”, esp for speech
- Speech arrest: slowing of speech production
- Anomia: can’t retrieve a word
- Paraphasia: distort the semantic or phonological content of a word
- Ex. say “tephelone” instead of “telephone.”
- This showed that stimulating specific sites and cause linguistic errors
- Ojemann 1989
- directly stimulate language-related areas to study language
- mapped out the “eloquent” cortex in the left perisylvian territory
- 120 patients w/ epilepsy
- Showed line drawings of familiar objects on a screen in 4-sec intervals
- Patient had to name each one using the carrier phrase “this is a ___”
- At the beginning of some slides, the rs stimulate one of the several predetermined points on the exposed cortex
* Each part was stimulated 3 times; w/ all sites were stimulated once b4 any of them were stimulated a 2nd time
- At the beginning of some slides, the rs stimulate one of the several predetermined points on the exposed cortex
- Rs provide immediate feedback on patient’s response
* If stimulating a given site induced error for 2 out 3 trials, that site is essential for naming
- Rs provide immediate feedback on patient’s response
- 2 main findings
- For most cases, stimulation disrupted naming as a few discrete sites
* In 70% patients, 2+ of these areas were identified: 1 in FC, other in temporal/parietal cortex
- For most cases, stimulation disrupted naming as a few discrete sites
- Rs did stimulation mapping on 90 patients in anterior and posterior perisylvian zones
* 20% had frontal naming sites
* 15% had temporal and parietal naming sites
* Main point: precise naming sites in the brain vary across patients
* There was only 1 site where errors were evoked more than 50% of the time (located in posterior part of Broca’s area)
- Rs did stimulation mapping on 90 patients in anterior and posterior perisylvian zones
- Some say electrical stimulation is the “gold standard for brain mapping”
- Cons:
- we don’t fully understand the physiological cons of passing current through the cortex
- The intensity of stimulation that is needed to identify “eloquent” areas differ across patients and regions
- Stimulation to a given site can propagate to other remote brain regions
- Need to interpret these findings w/ caution!
Recording
- Intracranial
- Some rs record neural activity in particular regions
- It helps doctors to precisely localize the source of epileptic seizures
- Procedure
- Implant electrodes in the tissue that is suspected to surround the epileptogenic site
- close the patient’s head and record neural activity for several days cont
* If the seizure occur, we can identify the point of origin
- close the patient’s head and record neural activity for several days cont
- Some rs determine whether and how the firing rates of neurons in the implanted tissue are modulated (regulated)
- They study the neural activity in single cells of cell assemblies
- Creutzfeldt et al 1989
- Found that individual neurons in the right superior temporal gyrus are sensitive to certain features of auditorily perceived words (ex. phoneme, syllables, morphemes)
- Ex. when the patient listened to a list of multisyllabic words, the firing rate of one cell increased sig in response
- The critical sounds are velar consonants (i.e. /k/, /g/) combined w/ /r/ or /s/
- Ex. Christmas, crocodile
- When the entire list of words was presented again after 2 min, the cell’s response to each word was similar to the response in the 1st time
- Local field potentials: the sum of the extracellular voltage fluctuations that indicate the sum of events in the dendrites for a local population of neurons
- This is measured when the patient is doing linguistic tasks
- Methods
- Option A: Use electrodes that penetrate many layers of cortex and white matter/ or target subcortical nuclei
- Option B: use high-density multi-electrode grid, place it directly over the cortical surface to collect data (aka electrocorticography)
- Flinker et al 2011
- Studied cortical dynamics of speech perception in 3 epileptic patients
- Placed an electrode grid on patient that covers the posterior lateral surface of the left superior temporal gyrus
- Ppl listened to 2 types of stimuli
* I. Syllables (for 150 ms): /ba/, /da/, /ga/
* II. 3 kinds of words spoken by the same talker- 23 pseudowords (3 phonemes)
- 23 real words (3 phonemes)
- 4 proper names (5 phonemes)
- Ppl listened to 2 types of stimuli
- Results:
- Electrode A (top row): high frequency neural activity response only to words
- Electrode B (bottom row; 4mm away to electrode A): high frequency neural activity response to both words and phonemes
- Most activity starts after 200 ms
- Point: electrocorticography is useful
- Extracranial
- Electrical potential produced by large populations of neurons are strong enough to be conducted passively though tissues of the brain, skull, and scalp
- This is a method to record patterns of activity in a non-invasive manner
- You place electrodes on the surface of the scalp and compare the voltage fluctuations here w/ a reference location (ex. mastoid bones behind the ears)
- Electroencephalogram: recording on the changing electrical activity; data is from an electrode on the scalp
- Has rhythmic undulations (ups and downs) that vary in amplitude, duration; it depends on whether the subject is excited, relaxed drowsy or in a stage of sleep
- EEG is a collection of many diff neural activity; so it doesn’t provide info on mental operations
- Rs examine the neural correlates of specific cog capacities
- Rs examine how the EEG recorded at diff electrodes change when ppl are doing the tasks
- Event-related potentials (ERPs): EEG patterns that are measured when the stimuli is presented
- 4 ERP parameters
- Latency: time-point, milliseconds after the stimulus; happens when a particular deflection of waveform begins/reach its peak
- Amplitude: strength of an effect (mV)
- Polarity: whether a deflection is +ve-going or -ve-going
- Topography: the scalp distribution of an effect; involved the electrode positions at where the effect was observed
- Some labs plot -ve up and +ve down OR vv
- When a wave deviates +vely or -vely, it usually is not sig
- This is b/c polarity is affected by many irrelevant factors
- Ex. location of reference electrodes
- Ex. orientation of the source of scalp recorded signals
- Ex. if a batch of cortical neurons have their dendrites point to the surface and simultaneously get excitatory input, the resulting electrophysiological activity create current “dipoles”
- Each dipole has a -ve end near the dendrites and a +ve end near the cell body
- The summation of these dipoles is detected at the scalp as a -ve voltage
- This does not mean the operations are done by the neurons, it’s just activity on detected on the scalp
- Since most ERP studies compare waveforms from the experimental to control condition, the diff in polarity maybe related to cog processes
- The key thing is there is a polarity diff; the +ve/-ve doesn’t matter
- This is b/c polarity is affected by many irrelevant factors
- Topography
- Studies vary on the # of electrodes used and their size
- As the size increases, the difference of ERP effects along the scalp increases
- The larger range of channels, the easier it is to apply data analysis to somewhat infer the neural underpinnings of ERP effects
- Inverse problem: ERP has poor spatial resolution but v good temporal resolution
- Another issue: the electrical activity recorded at the scalp can come from any neural generator
- N400
- N = negative
- 400 = a peak that appears 400 ms post-stimulus
- centroparietal electrode can detect a N400 w/ the greatest amplitude
- N400 can track the gradual build-up of semantic content during receptive sentence processing
- The amplitude increases as we increase the difficulty of integrating the meaning of a word into the preceding context
- Kutas and Hillyard 1980
- Showed the waveforms evoked by 3 diff types of sentences presented to subjects on a screen, 1 word at a time
- Condition 1: all sentences are normal
- Ex. It was his first day at work
- Condition 2: all of the sentences ended w/ a word that was semantically anomalous in the given context
- Ex He spread the warn bread w/ socks
- Condition 3: all the sentences ended w/ a word that was orthographically incongruent in the given context
- Ex. She put on her high heeled SHOES
- Results: final word in anomalous condition trigger a large N400
- This indicates there was effortful conceptual processing, not surprise
- The final word in the orthogonal condition is associated w/ a P560
*
Magnetoencephalography
- Which technique is it related
- Mechanism
- ERFs
- What sensors are used?
- What does SQUIDS stand
- 2 Pros of MEG/ERF
- 2 Cons of MEG/ERF
*
Box 2.2: Magnetoencephalography
- Non-invasive brain mapping technique related to EEG/ERP
- Electrical currents associated w/ neural activity create tiny magnetic fields, these fields are recorded at the scalp and time-locked to when the stimuli is presented
- This produces event-related fields (ERFs)
- In MEG systems, we detect ERFs w/ 200 sensors called SQUIDS
- SQUIDS: superconducting quantum interference device
- Pros of MEG/ERF
- Outstanding temporal resolution (in ms)
- Provide good spatial resolution, can help neurosurgeons identify where the seizure happens in epileptic patients
- This is possible b/c magnetic fields are not distorted as they pass through the brain, skull, and scalp
- Magnetic field strength dips from their source in a systematic manner
- Cons
- It is sensitive to neural activity in the gyri but NOT the sulci
- Too $$$
- This is b/c ERFs are tiny signals that are a billionth the size of earth’s magnetic field
- The lab has to be heavily shielded from outside magnetic fields
- SQUIDS need to be stored in liquid helium
- More studies are using this despite the cost
Transcranial Magnetic Stimulation
- 2 reasons why it is not often used
- What can it do
- Is it safe?
- Mechanism
- Temporal and spatial resolution
- What doe researchers use as a benchmark
- 2 strategies are used to determine the appropriate position of a coil (can use 1 or both)
- Major unkown issue
- Define online vs offline application of TMS
- Gough et al - Used TMS and found the complementary roles of 2 diff sectors in the left interior frontal gyrus (LIFG) in making semantic and phonological judgements
- Methods
- Results
*
Transcranial Magnetic Stimulation
- It is very invasive and restricted to those w/ a history of nro dysfunction -> TMS is not used often
- TMS can quickly alter the organization of neural activity in certain cortical regions by placing magnetic device on the scalp
- You can facilitate or supress the operation of the target area
- If safety protocols are followed, TMS is harmless; w/ may cause seizures
- It can help offset clinical disorders like stroke-induced aphasia, and study language/MD
How It Works
- Uses EM iniduction
- Faraday
- When an electrical current passed thru a wire, it generates a magnetic field that varies w/ time
- If wire 2 is placed nearby, the magnetic field induces an electric current flow in wire 2
- For TMS, “wire 1” is the stimulating coil”; “wire 2: is the targeted region of the brain
- Common coil type: figure-8 shape, current flows around 2 adj parts and sum up at the intersection
- The flux/magnetic field lines are perpendicular to the plane of the coil
- When the central part of the coil is placed at a predetermined position on the scalp, the magnetic field that passes through the skull
- this temp changes the electrophysiological properties of the neurons under the cortical region
- When the central part of the coil is placed at a predetermined position on the scalp, the magnetic field that passes through the skull
- Temporal resolution: ms
- Spatial resolution: mm
- Shifting the coil b/w areas separated by .5 to 1 cm over the PMC can trigger muscle twitches that follow the motor homunculus layout
- Rs use the intensity threshold for triggering a finger twitch as a benchmark for calibrating the strength of pulses delivered to other regions for high-lv cog processes
- 2 strategies are used to determine the appropriate position of a coil (can use 1 or both)
- Functional localization: move the coil around a general territory until the ability of interest if enhanced/disrupted
- Anatomical localization: use neuronavigation system to guide the placement of the coil
* based on data from structural or fMRI OR a set of standardized coordinates
- Anatomical localization: use neuronavigation system to guide the placement of the coil
- Issues: effects of TMS can spread to remote brain regions; there may be other b cons
- There are many factors that induce facilitatory or inhibitory effects
- One main parameter: frequency of pulses
- Ex. 2 single pulses separated by less than 5 ms -> intracortical inhibition
- Ex. 2 single pulses separated by 10 – 30 ms -> intracortical facilitation
- Some pulses can be applied to subjects “online” (during the task performance)
- Some pulses are applied “offline” (prior to task performance)
- Ex. Common technique – apply repetitive pulses to target site cont for several min b4 task
- Reduce excitability of that region after stimulation
- This can affect subsequent performance
- TMS cons are measured in RT or accuracy
Applications to Language
- TMS helps us understand more about language-related brain regions
- Gough et al 2005
- Used TMS and found the complementary roles of 2 diff sectors in the left interior frontal gyrus (LIFG) in making semantic and phonological judgements
- Rostral (pars orbitalis)
- Caudal (pars opercularis)
- Subjects did 3 task w/ visually presented pairs of letter strings
- Synonym judgement – ex. decide if idea and notion hv the same meaning
- Rhyme judgement – ex. decide if eye and fly end w/ the same sound
- Visual judgement – ex. decide if txbufr and txbufr have the same characters
- There are 15 pseudo-randomly organized blocks of 10 trials, w/ the trials in each block involving the same type of task
- 40% of the trials
- There are 3 TMS pulses separated by 100 ms and starting 100 ms post-stimulus onset
- These were delivered to the rostral or caudal of LIFG
- There are equal # of TMS trials for each task; no more than 2 TMS trials consecutively
- Results
- Double dissociation emerged b/w semantic and phonological tasks based on the function of the site of stimulation
- Judgements on the meanings of word pairs are delayed by rostral LIFG stimulation, not caudal LIFG
- Judgements on the sound of word pairs were sig delayed by caudal LIFG stimulation, not rostral stimulation
- Judgements on the appearance of letter strings were not affected by either site
- There are 2 target areas in the LIFG that make diff contributions to lexical processing
- These areas are close together; TMS can modify brain activity of brain areas that are close together
*
- Used TMS and found the complementary roles of 2 diff sectors in the left interior frontal gyrus (LIFG) in making semantic and phonological judgements
Major Strengths and Weaknesses of the Different Methods
- Method
- Strength
- Weakness
What is language
- Compare and contrast
- Zebra Finches vs humans
- Monkey Alarm clocks and Zebra Finches
*
What is language
- Examples of communication (i.e., there needs to be some interaction between multiple individuals, usually of the same species, to communicate info):
- Ex. Zebra Finches: male communicating (mate calling) with a female
- The sounds are sequences of predictable sounds (aka motives)
- There is enough similarity b/w Zebra finches and humans when communicating
- It lacks some aspects of communication (ex. we don’t know what is being said)
- Monkey Alarm Calls: aka notifying each other of a predator
- Monkeys have different alarm calls for different predators
- Alarm call 1: leopard alarm call
- Monkeys from different species recognize each other’s alarm calls
- They will move closer b/c once the leopard knows it has been spotted, it will give up
- Unlike the zebra finch, we know what is being said (leopard is here)
- Communication here is more sophisticated
- Monkeys have different alarm calls for different predators
- These are not perfect examples of language
- Main point: there is a continuum of communication; the more complex form is used in humans
Neural basis of language
- What is the brain’s language network made of?
- What are these other systems also used for?
- How do we understand words: 5-step
Neural basis of language
- The brain’s language network is formed by a combination of areas (networks) of brain regions that have become differentially specialized for language, but that clearly also relate to other basic cognitive abilities
- Different systems are used in different aspects of language; these brain areas are also used in other functions (non-language)
- Vision (ex. reading)
- Audition (ex. listening)
- cross-modal associations
- motor outputs (ex. writing, Brail)
- planning/executive control (ex. produce a response)
- How do we understand words?
- Extract words from auditory segment
- Separate them into phonemes
- Associate these to words
- Put words together to determine its meaning
- Produce a response
- If certain language functions are present in other species (like birds and monkeys), these functions may evolved to be more specialized in humans
A few (of many!) properties of language
- 6 main properties
A few (of many!) properties of language
- “words” convey “meaning” (lexical semantics)
- Ex. monkeys has a specific alarm for leopards (basic meaning)
- Grammar, morphology, and syntax (particular words in particular order)
- Ex. not present in monkey language (subject, verb, object structure; location of leopard)
- Generative (i.e., we can create new sentences that everyone can understand)
- Ex. not seen in monkey speech
- Specialized for communication
- Ex. human language is used for communication specifically
- Ex. Hammer is not specialized for communication – can be used as an alarm, or banging on a pot for music
- BUT, it stills builds upon other basic abilities like vision, audition, and motor systems, to name a few
- Other important properties?
Cognitive Neuroscience of Language
- 3 major domains for this discipline
- What are the 4 other areas
- How of other areas contribute to this realm?
- Evolution / Cross-species comparisons
- Historical analyses (e.g., of language evolution)
- Study: Compare Spanish in Europe vs South America
- Looked at hominins (ambiguous words)
- Define hominins
- Method
- Results
- Study: Compare Spanish in Europe vs South America
- Computational Modeling
- Neural network simulation
- 3 Pros
- Genetics
Cognitive Neuroscience of Language
- Fundamentally, an interdisciplinary domain, comprised of at least 3 major domains:
- Cognitive psychology
- Neuroscience (Neuropsychology = precursor to NRO)
- Neuropsychology: post-mortem study on what aspects of the patient is impairing language
- Linguistics
- Although many other areas make their appearance as well:
- Evolution / Cross-species comparisons
- Behavioral, neural levels
- Some rodents can detect similar sound frequencies as humans
- Historical analyses (e.g., of language evolution)
- Tells us…
- how words change meanings over time
- how new words are come about
- Why different communicative abilities evolve
- what words are central to communication; what words are less relevant
- Study: Compare Spanish in Europe vs South America
- Looked at hominins (ambiguous words) – these words have different meaning based on the context they are in
- Ex. river BANK vs money BANK
- Results:
- 50% variability in the language remains the same in two populations
- 50% variability in the language - the meaning has changed
- Reason: distinct cultural env, ext env, colonization in South America changed some meanings of words
- Tells us…
- Computational Modeling
- Neural network simulation: dev an algorithmic or math model of how language works in the brain
- Pros
- Develop complex theory
- Allows us to make predictions for empirical studies
- Helps us to know what to study next
- Allow us to do things that may be unethical on real subjects
- Ex. damage a brain part in the model, and see how the model reacts to the damage
- Ex. examine if therapy works for brain damage
- Give different types of therapy to brain damaged model and see how it reacts to each one of it
- Then test and apply this to humans, and see if it works
- Genetics
- Looks at how single and combination of genes leads to different amounts of NT, which in turn may impact our language processing
- Ex. Diff types of dyslexia may linked to different collection genes; this can be related to whether the guy or gal contributed the genes
- Evolution / Cross-species comparisons
Classic examples
- Broca vs Wernicke aphasia
- Corresponding BA #s?
- Which hemisphere is more specialized for language?
- which type of language?
- Audiovisual integration
- low lv vs high lv?
- Amodal semantic combination
- Articulatory planning
- Volition
*
Classic examples[EL1]
- Broca’s and Wernike’s Aphasias
- In many ways, the seeds of the current interdisciplinary science of language research
- Behavioural Manifestation:
- Broca: meaning intact, but not the sentence structure
- BA. 44 and 45
- Wernicke: no meaning, fluid speech (word salad)
- BA 42
- Broca: meaning intact, but not the sentence structure
- Very different language impairments, linked to different brain impairments
A basic map of some language systems
- Note: Many areas serve more than one language relevant or non-relevant ability
- Most of our cortex influences our language
- LH is more specialized language, esp visual language
- Visual inputs, auditory inputs, audiovisual integration
- Audiovisual integration
- Low level: how movement of lips correspond to different sounds
- Higher level: read text on the screen (subtitles) interact with the dialogue the actors is speaking in the movie
- Amodal semantic combination: how we map info from one modal to another
- I pat a dog, it feels furry; and you can hear the word “fur”
- Articulatory planning: plans how to move our mouth to produce specific sounds
- Volition: decide what we want to produce
- Language processing and production is a very complex task, yet our brain has come to do things very efficiently and effectively
[EL1]Understand the difference between the two aphasias
Know where the brain regions are located
Tools of the trade
- Neuropsychology
- 3 main ways
- Psycholinguistics/behavior studies
- McGurk effect
- Which 2 systems are used?
- What does this indicate?
- McGurk effect
Tools of the trade
- Language processing is extremely rapid (ex. when you hear multiple words per second) and takes place across a distributed set of brain regions
- These brain regions also subserve other abilities (e.g., auditory system is not only for language)
- What types of methods can be used to probe language?
Neuropsychology
- We study patients with language impairments, link those to brain damage, usually originally primarily through post-mortem analyses
- but sometimes we study living individuals like Phineas Gage).
- Now, the brain is also explored through non-invasive techniques except in special circumstances (e.g., implant electrodes in pre-surgical epileptic patients’ brain).
Behavioural Studies (aka Psycholinguistics)[EL1]
- E.g., the McGurk effect
- We use different information from the visual and auditory modality to perceive an ambiguous stimulus
- Can provide important insights and constraints on cognitive and neural theories of processing
- These types of tasks are often used in conjunction with other cognitive neuroscience techniques (e.g., ERP).
- [EL1]Understand how there are different systems contributing to language at the same time, some may be more powerful or relied upon more
- McGurk effect is a great example of this
Tools of the trade cont 2
- ERP
- Pro, con
- Steinhauer, 2014, Applied Linguistics
- Method
- Results
ERP
- Behavioural studies are precursors of imaging studies
- Pros: Excellent for studying fast processing, which is common in language (we need good temporal resolution; helps us track changes over time).
- Cons: Relatively poor spatial resolution (without convergent evidence from other techniques/studies, data alone only tell you roughly which quadrant of the brain the signal came from).
- Don’t know the precise location where the signal is coming from
Example from Steinhauer, 2014, Applied Linguistics
- Method:
- Put on EEG cap
- Listen to sentences
* Ex. John ate broccoli at dinner
* Ex. John ate democracy at dinner
- Listen to sentences
- Results
- Blue vertical line: onset/when the words (i.e. broccoli or democracy) are spoken
- Results: brain signals look similar overall, except at N400 (blue = difference)
- N400: (400ms after onset)
- There’s a difference b/w processing the word that makes sense vs one that doesn’t make sense
- N400 relates to how comprehensible the sentence is
Example of Combining Behavioural and Neuroimaging Techniques
- Baart, Armstrong, Martin, Carreiras, and Frost (2017)
- Exp 1
- Methods
- Exp 2
- Methods
- How is it different from Exp 1
- Purpose
- 4 noise conditions
- Results of behavioral exp 1
- Accuracy & RT
- Is having a lot noise as bad as predicted, why?
- Results = ERP Exp 2
- Analysis
- What it suggests
- 4 main insights
Example of Combining Behavioural and Neuroimaging Techniques
- From Baart, Armstrong, Martin, Carreiras, and Frost (2017)
- Method[EL1]
- Exp 1: behavioural experiment
- See and hear a Spanish word (ex. Apio)
- Press a button if what they see and hear match
- Participants had to go through 4 conditions
- no noise
- audio noise
- visual noise
- audio and visual noise
- Exp 2: same experiment but measure subject brain activity w/ EEG
- Only difference: there is a 1250 ms b/w read + listen to word and pressing the button
- Purpose: the actual act of pressing the button will activate the motor cortex
- this delay allows researchers to differentiate b/w when the brain is reading + listening to the word vs pressing the button
- Exp 1: behavioural experiment
- Method[EL1]
- Noise conditions
- No noise: white text on black background
- Visual noise: white dots on the “white text and black background”
- Audio noise
- Ex. play a random audio noise -> most ppl don’t know what word it is saying
- When someone told me the word is “actress”
- It seems obvious the word is actress in retrospect
- This suggests that when the audio information is not clear, presenting the word visually can clear up the ambiguity
- A + V noise (have audio and the visual noise presented)
- Results – behavioral exp 1
- Accuracy & RT: Ppl are the most accurate and fastest when there is no noise
- Auditory noise makes ppl slightly less accurate and a bit slower
- If you have more noise (i.e. A + V noise), you are the least accurate and the slowest
- But the effect is not as bad as it seems
- When we look at RT, AV noise is significantly slower compared to no noise
- For accuracy, the drop is not as bad
- But the effect is not as bad as it seems
- Results = ERP Exp 2
- Researchers did a lot of t-tests
- After controlling for this (the orange and blue), we get the results (black)
- The effects happen around N400 (~500 ms)
- This suggests that the integration of audio and visual noise is happening at the understanding/later semantic level (not early perceptual level)
Integrating insights
- Combined data point to cross-modal integration occurring at a relatively late time-point, at the level of lexical/semantic processing
- (combining info from 2 modalities happen later)
- Surprisingly, the constraints from sublexical units (individual letters / sounds) seems relatively weak. (most integration happens at lexical semantic lv)
- Potentially due to language tested (Spanish).
- Transparent orthography: every letter maps onto a particular sound, and vv
- Results may not apply to other languages that do not have transparent orthography (ex. Eng, Hebrew)
- Points to value of Cross-linguistic comparisons another type of study that transcends any particular technique
- *
[EL1] Understand these experiments well and the significance of their results