Functional Neuroimaging Flashcards
what is a direct measurement of neural activity?
Electric and Magnetic Signals
Electroencephalography (EEG)
- continuous recording of large populations of neurons
- EEG associated w/ behavioral states (wakefullness)
- Good temporal
- poor spatial
Magnetoencephalography (MEG)
-Similar temporal resolution to EEG
-Better spatial resolution (no signal distortion)
***ID cortical functionality
what are indirect measurement of neural activity?
Metabolic Signals
1) Positron Emission Tomography (PET)
2) Functional Magnetic Resonance Imaging (fMRI)
Positron Emission Tomography (PET)
- local changes in cerebral blood flow
- use radioactive tracer (emits photons/gamma rays)
- regional cerebral blood flow (rBCF) = patient @ rest Vs. patient performing cognitive task
-BAD = radioactive isoptope (Invasive) // Limited # of tests
2) Functional Magnetic Resonance Imaging (fMRI)
-magnetic properties of hemoglobin (O2 : deoxygenated)
=blood oxygenation level-dependent (BOLD) effect
GOOD bcuz…
- non-invasive & can be repeated
- best spatial resolution
- best temporal due to BOLD signal
previous Evolving Brain Theory
1) Neural circuitry is static
2) Cognitive functions & memory are localized
3) Information processing = ONLY serial processing
4) Brain = driven by EXTRINSIC sensory input
5) Brain function(s) VULNERABLE to single site injury
6) Clinical supporting evidence limited
current evolution brain theory
1) Neural circuitry is plastic
2) Cognitive functions & memory are distributed
3) Information processing = serial, parallel, & reciprocal
4) Brain = driven by internal, INTRINSIC cycles (intrinsic and extrinsic interaction)
5) Brain func(s) RESISTANT to degradation by single site injury
6) Clinical supporting evidence strong
single-source divergent networks define
one type of signaling molecule that influence numerous other target brain areas.
Often neurons w/in these nuclei have axons, which diverge & send projections to multiple brain regions
single-source divergent network characteristics
- Early embryonic development
- Support all cognitive funcs
- “brain state modulatory controls”
- Regulate information throughout brain - Organized in a hierarchy
- Exhibit functional stability when local network damage
- Created & altered by synaptic plasticity processes
- Consist of many long-reaching axonal branches
- Categorized by the NT utilized
5 Single-source Divergent Networks
- Dopamine(DA)
- Norepi (noradrenaline/adrenaline) /Epinephrine
- Histamine(His)
- Serotonin (5-HT/ 5-HTP)
- Acetylcholine(ACh)
5 Single-source Divergent Networks general features
-Each system = unique NT (All small NTs)
-Ca2+ dependent release
-Neurons that release a single NT are contained in nuclei =
brainstem, hypothalamus, and basal forebrain
-Network neurons have unmyelinated axons & highly arborized = synapse on many target
-All 5 networks are interconnected & work cooperatively together to control overall brain state (consciousness, attention, etc.)
Neural Networks Working Together:
w/in neural networks = circuits (excitatory & inhibitory) via = serial, parallel & reciprocal.
–also between each network
how is cognitive neuroscience studied?
- Functional neuro imaging
- Electrophysiological studies
- Psychophysical experiments
- Cognitive genetics
- Traditional clinical studies
Nature (Genetics)
- Necessary for laying neuronal groundwork
- “Neural Darwinism” and apoptosis
- Individual variability in genomic plan
Nurture (Experience)
- Refinement of the neural system
- Experience/stimuli alters synapses
- “Wiring by firing”/ D. Hebb’s plasticity theory
Neuronal Networks/ Assemblies
- groups of many neurons that tend to fire together
- Synapses are continuously and reversibly altering
- underpin all cognitive processes
Neural Darwinism
-neurobiology of consciousness
-brain is a somatic selection system that works in a manner similar to evolution
3 Stages = Developmental Selection// Experiential Selection // Mapping
Developmental Selection (Neural Darwinism)
Under genetic control
o Cell division & cell death
o Axon & cell migration taking place
o Growth factors, cytokines, & glutamate = key players
Experiential Selection (Neural Darwinism)
Under experiential control
o Functioning circuits created with somatosensory input
o Circuits created during developmental r strengthened
o Refinement of the network
Mapping (Neural Darwinism)
Numerous neural maps are formed by the brain
o maps = processing of signals from body & environment
oEx: 1 brain map = pressure r/c for the body –> brain
o Maps can interact w/ each other = further refinement
Building Neural Networks
follows Hebb’s synaptic plasticity (LTP, LTD)
**LTP needs pre & post neuronal firing
o Relies on protein kinase activity
o Produces increased synaptic efficiency & strength
**LTD requires “asynchronous” firing
o Relies on protein phosphatases activity
o Produces weakened synaptic strength & efficiency
–Both LTP & LTD need (+) of NMDA r/c and entry of Ca2+
–[Ca2+] onto postsynaptic neuron = LTP or LTD occurs
possibly use same set of regulatory proteins
(+) feedforward excitatory connection
-information from a lower level of a circuit being transmitted to a higher level
(Ex: LGB –> cortical)
(+) feedback excitatory connection
-info = lower –> higher –> lower level.
Ex: LGB –> ocrtical –> LGB
(+) lateral excitatory connection
communication btwn neurons within the same processing level (ex- all from LGN)
(-) feedforward inhibitory connection
output of one level decreases the activity of the next
(-) feedback inhibitory connection
output of a higher order level of a circuit decreases the input activity to that circuit
(-) lateral inhibitory connection
activity of one set of neurons can decrease the acivity of other neurons at same level. (LGB–> cortical –> other cortical areas)
Disinhibition
when an inhibiter inhibits = you get excitation
Divergence
-degree which a neuron projects input to a large number of target neurons (axon collaterals)
aka-ability of one NT to activate >1 r/c
Convergence
-degree which a neuron receives input from a large number of other neurons
aka-ability of different NTs to converge to same circuit
Circuit Types
1) Hierarchical
2) Local
Hierarchical Circuit Types
- -each level is regulated by local circuits via…
1. Serial processing X–> X–> X
2. Parallel processing: info flows in a “side by side” manner
3. Reciprocal processing: info flows back and forth
Local circuit
- within hierarchical circuits & alter processing at each hierarchical level (via)
1) Feed-forward (+/-)
2) feedback connections (+/-)
Local Circuit Dynamics
- sensory & motor systems from CNS & PNS create conscious awareness of internal & external environment
- -PNS = “reliable” = not plastic
- -CNS pathways are plastic (strength = activity-dependent)
Functional neuron types
1) sensory
2) motor
3) interneuron
4) modulatory neuron
sensory neuron
- detecting stimuli r/c’s convert environmental stimuli –> electrical
(ex: light, pressure, sound, etc.) - THEN electrical impulses –> chemical (NTs)
motor neurons
–transmit impulses from a central location of the CNS to a distal target which then stimulates a muscular or glandular response
interneuron
- -within & between pathways
- convert chemical signals back into electrical signals
modulatory neruons
–regulation of neuronal integration for all sensory, motor & associative system input
o Modulate general & widespread func in CNS
The Complexity of the Nervous System (fun facts)
~90 billion neurons within brain
o ~30 billion in neocortex
o Cortex=~25% stellate neurons(~10,000 synap/neuron)
o other 75% = pyramidal neurons (~18,000 synap/neuron)
o Hundreds of trillions of synapses in total!
Cells of the Nervous System
1) Neurons = rapid communication via nerve impulses
2) neuroglial cells = non-neuronal cells
* *outnumber neurons in the CNS by a factor of 10
Neuroglial cells
CNS 1) Oligodendrocytes 2) Astrocytes 3) Microglial cells PNS 4) Schwann cells
Oligodendrocytes
these glial cells send out protoplasmic processes that make contact with nearby axons and form myelin sheaths around them.
A single oligodendrocyte can myelinate multiple axons within the CNS
Astrocytes
1) Produce matrix & adhesion molecules
= guide developing neurons
2) Secrete growth factors = regulate morphology, differentiation, proliferation, & survival of neurons
3) Form blood-brain barrier via tight junctions
4) Regulate NT removal @ synaptic cleft
5) Detoxify the CNS (via sequestering)
6) IntRAcellular signaling & ~intERcellular signaling thru intracellular Ca2+ waves
7) Mediate astrogliosis (an increase in the # of astrocytes) in response to injury = attempt to reduce neural damage, often results in glial scar formation
Microglial cells
-small somas & numerous processes,
-mediate immune reactions within CNS
***retain the ability to divide.
1) Phagocytose degenerating cells that are undergoing apoptosis (esp. during development)
2) During development, they aid in fiber tract development, gliogenesis, and angiogenesis by secreting growth factors
o Involved in presenting antigens to T lymphocytes
o Become “reactive” (undergo amorphology change) and phagocytic during pathological circumstances in the adult CNS
Schwann cells
–a single Schwann cell will myelinate only a single axon segment.
–Multiple Schwann cells are needed to myelinate the entire length of a peripheral axon.
o Respond to injury by secreting growth factors, removing debris, providing structural support and guidance to regenerating axons
The Neural Triad:
Neurons, Glia and Vasculature
Neurons
–cells of numerous subtypes specialized for communication o All neurological processes depend on the complex cell to cell interactions among individuals neurons as well as groups of neurons
Neuroglial cells
- -structural & functional support cells which carrying out diverse actions ranging from immune responses to myelination of axons
- -3 types in CNS: astrocytes, oligodendrocytes, & microglia
Cerebral Vasculature
- -supports brain development & function
- –Contributes to neurogenesis
- -Transports O2/nutrients & removes waste & CO2
- -Endothelial cells interact with neurons, astrocytes, and microglia to form the blood-brain barrier (BBB)
Ca2+ Signaling of Astrocytes
–activated metabotropic r/c = signal transduction pathway (STP) = release of Ca2+ w/in astrocyte
= release of Ca2+-dependent NTs
(glutamate, ATP, D-serine) ****aka-“gliotransmitters”
- -Ca2+ signaling w/in astrocytes = NOT all-or-none features.
- *full extent to which astrocytes are involved in the regulation of synaptic activity remains to be determined
Tripartite Synapse
pre & post neuron & astrocyte