Thomas Carlson lectures Flashcards

1
Q

Describe the history of brain measurement methods

A
Year: Pre 1900
Person: William James
Description: 
-Accidental experiments
---Placement of bullet shots in different parts of the brain determined future abilities if patient survived
-Medicine and philosophy
-Birth of psychology

Year: 1924
Person: Hans Berger
Description: Collects first EEG recording

Year: 1928
Person: Edgar Adrian
Description: First recording of single unit activity

Year: 1968
Person: David Cohen
Description: First MEG recording (direct measure)

Year: 1973
Person: Hoffman, Ter-Pogossian and Phelps
Description: First PET scan

Year: Late 1970s
Person: Lauterbur and Mansfield; and Damadian
Description: Develop MRI technology

Year: 1980
Person: Merton and Morton
Description: Stimulate motor cortex with TMS

Year: 1991
Person: Belliveau et al. + Ogowa et al.
Description: Develop fMRI

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2
Q

What are newly developed techniques for measuring brain activity/analysis of this data and how did it come about?

A
-Brain science is multidisciplinary
•	Cutting edge techniques 
o	Optogenetics
	Shine light onto neurons that have been genetically modified to increase their activity of decrease their activity 
o	Two photon imaging
	Can only be done in animals
	Real time imaging of cellular activity
•	New and upscaled analysis methods have allowed for further learning about the brain 
o	Machine learning
	Reinforcement learning
	Supervised learning
•	Classification
•	Regression 
	Unsupervised learning
•	Clustering
•	Dimensionality reduction
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3
Q

Is there a perfect methods to measure the brain? Why/why not?

A
•	No method is perfect
o	Have to consider spatial and temporal dimensions, as well as invasiveness
o	The right method depends on the scale of the question 
	Components of a neuron
•	E.g. Physiology
	Neurons
•	E.g. Physiology 
	Neural networks
•	E.g. Physiology and arrays 
	Brain areas
•	E.g. fMRI
	Brain networks
•	E.g. fMRI
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4
Q

What are the Barlow’s 5 dogmas and what are they arguments for?

A

• An argument for direct measures and observation of single neurons through single-unit recording- Barlow (perception, 1972)
o To understand nervous function, one needs to look at interactions at a cellular level, rather than either a macroscopic or microscopic level, because behaviour depends upon the organised pattern of these intercellular interactions. This dogma is possible as single neurons have diverse and highly specific responsiveness to sensory stimuli, and are astonishingly reliable
o The sensory system is organised to achieve as complete a representation of the sensory stimulus as possible with the minimum number of active neurons. This dogma is possible as, at higher levels, fewer and fewer cells are active, but each represents a more and more specific happening in the sensory environment.
o Trigger features of sensory neurons are matched to redundant patterns of stimulation by experience as well as by developmental processes (including genetics)
o Perception corresponds to the activity of a small selection from the very numerous high-level neurons, each of which corresponds to a pattern of external events or the order of complexity of the events symbolised by a word. However, not every cortical neuron’s activity has a simple perceptual correlate
o High impulse frequency in a given neuron corresponds to high certainty that the trigger feature is present.

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5
Q

What is an argument for measuring neural networks instead of single neurons?

A

• An argument for neural networks
o Instead of looking at single neurons, scientists should be looking at how neurons interact with each other and their activity
o Avoids the grandmother cell effect
 Don’t need one cell to encode a person- encode a person through a joint activation pattern across multiple neurons

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6
Q

What are the two types of brain measures? Define and give examples of technology used for these brain measures

A

• Direct measures
o Direct measures relate directly to neuronal activity
 E.g. single unit recordings, EMG, EEG
• Indirect measures
o Indirect measures use a conduit to access neural activity
o They are associated with neural activity (although not necessarily linearly) but measure other factors
 E.g. fMRI measures changes in blood oxygenation

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7
Q

What techniques are used to measure brain activity?

A
o	Single unit recordings
o	Electroencephalography (EEG)
o	Magnetoencephalography (MEG)
•	Local field potentials 
•	Optogenetics
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8
Q

What are single unit recordings?

A

 Measures action potentials for individual neurons

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9
Q

What are the two types of single unit recordings, and their advantages/disadvantages?

A

 Types:
• Extracellular-
o Doesn’t penetrate cell body of the neuron: instead, records extracellular fluid properties
o Recordings can occur for months before the cell starts dying
o Reads basic components of an action potential
o High spatial and temporal resolution
• Intracellular-
o Penetration in neural cell body
 However, this means that the cell begins dying as soon as penetration occur, so recording can only occur during a limited time frame
o Records from exactly one neuron
o Can record subthreshold potentials

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10
Q

What is the procedure for single unit recordings?

A
  • Record activity for a stimulus
  • Identify spikes (spike sorting)
  • Measure spiking activity over time
  • Repeat for multiple trials
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11
Q

What are properties of a good extracellular electrode? Give an example of one

A

o Properties of a good extracellular electrode
 Ruggedness to pass through neural tissues
 Stability for accurate localisation
 High signal-to-noise ratio (low electrode noise)
 High selectivity
o Examples are platinum black-plated platinum or stainless steel electrodes (which do not require a trade-off between high signal-to-noise ratio and selectivity as other electrodes do)

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12
Q

Describe how spikes are produced in single unit recordings, the theoretical recording of an isolated axon (and why it is so) as well as why theoretical values do not always match reality

A

o The action potential (or spike) recorded with an extracellular microelectrode is produced by currents that are induced to flow in the extracellular space around an active neuron
 Theoretically records a triphasic waveform from the isolated axon
• As the action potential approaches the region underneath the electrode, the electrode sees a positive potential relative to a distant indifferent electrode
• When the action potential reaches the membrane underlying the electrode, the electrode records a negative potential
• As the action potential continues down the axon, the membrane under the electrode once again records a positive potential
 However, as the extracellular space does not have uniform, low resistance, the measured potential is not always accurate

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13
Q

Why is there a need to separate and identify spikes in extracellular single cell recordings? How is this done?

A

o There is a need to separate and identify spikes as extracellular recordings may pick up more than one neuron
 Multidimensional spike sorting allows confident identification of an individual cell, as well as simultaneous recording of ensembles of cells, with on-line and/ or off-line separation based on waveform parameters

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14
Q

What is needed if the cell that is recorded during single unit recording is inactive?

A

o Sometimes need search stimulus activation (electrical of physiological stimulation) of neuron of interest for the extracellular electrode to pick up the spikes

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15
Q

Are single unit recordings often done in humans?

A

 Not easily done in humans- mostly done during epileptic surgery

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16
Q

What is electroencephalograhy (EGG) and how does it work?

A

 EEG measures the summation of electrical activity on the scalp, primarily derived from post-synaptic activity around the dendrites of pyramidal neurons in the cerebral cortex
• Pyramidal neurons are found in the most superficial layer of the brain and are spatially aligned; thus, their activity is synchronous
o This produces a larger signal that can be measured by the EEG
• Summation of the dipoles created by many neurons is what is detected by the EEG
o When the pyramidal neurons fire, they create currents (due to depolarisation and repolarisation at different areas of the pyramidal neuron- follows the action potential)

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17
Q

Is EEG safe for humans?

A

 Safe for humans

• However, electrocorticography and intracranial electroencephalography are invasive

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18
Q

What are the similarities between MEGs and EEGs?

A

 MEGs and EEGs are both direct measures of neural activity and both have excellent temporal resolution (milliseconds).

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19
Q

What are the differences between MEGs and EEGs?

A

 However:
• They measure different signals
• MEG has an advantage in that magnetic fields are not affected by the skull. However, EEGs are affected by skull and tissue interference
o Hence, MEG has slightly better localisation
• Different sensitivity- EEG can measure deep sources in the brain, but MEG is not as sensitive to deep sources (only measures activity at the surface of the brain)
o Electrical signals do not drop out as fast throughout distance compared to magnetic signals
• MEG ($1000) costs a lot more than EEG ($15)
o Sensors in MEG need to be bathed in liquid helium, which is very expensive, and the MEG apparatus needs to be in a room that blocks out interfering magnetic signals

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20
Q

What is a common disadvantage of MEGs and EEGs?

A

 Both have a disadvantage:
• Source localisation can be difficult as, although recordings are done at the scalp (which is a 2D surface), the signals are coming from the brain (which is a 3D object)
• However, there is a tight link between the activity measured by MEG, EEG and single unit recordings, suggesting that spatial and temporal resolution of both techniques is not abysmal

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21
Q

What do local field potentials measure?

A

 Measures electric potential in the extracellular space around neurons- reflects changes in synaptic activity

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22
Q

What are the stages of an action potential?

A

• Stages of an action potential-
o Resting potential
 The voltage across the membrane is about -65 mV at resting potential
o Gets triggered
 Near the terminal bouton, there are voltage-gated calcium channels
 When an action potential fires and gets down to terminal, action potential opens calcium channels which will call the synaptic vesicles to dock and release their neurotransmitters
 Neurotransmitter binds to ligand-binding neurotransmitter receptor which opens up sodium channels which starts making the cell depolarised
 When the threshold is surpassed (-55mV), an action potential occurs
• An action potential is ONLY caused when the depolarization of the membrane is beyond the threshold
• Threshold-the membrane potential at which enough voltage-gated sodium channels open so that the relative ionic permeability of the membrane favors sodium over potassium.
o Rising phase
 Sodium channels open and inside of cell becomes more positive as sodium enters in the cell
o Overshoot
 Voltage is about +35 mV- the part where the inside of the neuron is positively charged with respect to the outside
o Falling phase
 Potassium channels open and inside of cell becomes less positive, returns to negative
 Sodium channels close
o Undershoot
 Rapid depolarisation causes the inside of the membrane to be more negative than the resting potential
o Absolute refractory period
 Sodium channels inactive when the membrane becomes strongly depolarised. They cannot be activated again, and another action potential cannot be generated, until the membrane potential becomes sufficiently negative enough to deinactivate the channels (usually 1msec)
o Relative refractory period
 The membrane potential stays hyperpolarised until the voltage-gated potassium channels close. Therefore, more depolarizing current is required to bring the membrane potential to threshold
o Restoration of the resting potential

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23
Q

List indirect measures of measuring/determining brain activity?

A
•	Brain damaged patients 
o	Often from bullet holes and accidents
o	Stroke, concussions and brain injury 
•	Behavioural approaches
o	Qualitative methods
o	Questionnaires
o	Psychophysics
•	X-rays
•	CT scan
•	MRI
•	Diffusion Tensor Imaging
•	Metabolic methods
o	PET (Positron Emission Tomography) imaging
o	fMRI (functional MRI)
o	Radioactive tracers (only in animals)
•	Optical imaging (Only in animals)
•	Transcranial magnetic stimulation (TMS)
•	Clarity
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24
Q

What people are examples of how brain damage and injury can be used to learn about brain functions? Describe what happened to these people and what were learnt from them

A

 Phineas Gage
• Railroad spike went through frontal lobe- learned that frontal lobe is important for higher cognition/decision making
• Showed lack of ambition and became aggressive
 H.M
• Treated with brain surgery for epilepsy- removed both his hippocampi
• Learned that the hippocampus is critical for forming long term memories
 Victor Leborgne (Tan)
• Had a stroke that affected Brocas area (critical for the production of speech)
• Still understood words and instructions
 NFL players who headbutt each other at full speed often experience depression, high suicide rates
• Tied to repeated concussions that players had (CTE syndrome)

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25
Q

What was an initial disadvantage of studying brain functions using brain injury/damage and how was it done?

A

o Would often have to wait for subjects to die of natural causes before observing their brain
 Behaviour+ Anatomy+ Patience= knowledge

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26
Q

What is psychophysics? Give examples of such techniques

A

 Precise manipulations of stimuli to understand how the brain encodes information
• Adaptation
• Psycho-anatomy
• Divided visual field presentation

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27
Q

Describe what the disadvantage of X-rays in in elucidating brain function

A

o Hard to fully observe inside the skull

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28
Q

Describe why CT scans were so revolutionary in elucidating brain function

A

o Can look at the brain in 3D- easy to look at inside structures of the brain
o No longer have to wait for patient death to observe their brain anatomy

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29
Q

How does MRI work?

A

o Each atom contains protons which are positively charged and spinning around an axis
o This spinning charge creates a small magnetic field
o An MRI machine is effectively a large magnet so that when an individual is placed inside the magnet, their magnetic protons line up along the longitudinal axis with the MRI magnetic field
o A short strong electromagnetic pulse (radiofrequency pulse) is applied to disturb the spinning protons- this results in less of them spinning in the same axis as the MRI magnetic field and more spinning in a transverse plane
o Once the radiofrequency pulse is turned off, the protons return to their original direction along the MRI magnetic field- longitudinal magnetization gradually increases until it reaches the same point where it was before the radiofrequency pulse
 The rate of this return is called the longitudinal relaxation time or T1 time
 The rate of decrease of the transverse relaxation is called the transverse relaxation time or T2 time
 The T1 and T2 relaxation times are different and are independent processes
• Rate of decay gives information on different kinds of tissues

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30
Q

How does MRI recognise different tissues?

A

 Different tissues have different T1 and T2 relaxation times
 Water has a high T1 and T2 relaxation time whereas fat has lower T1 and T2 relaxation times
 By applying a series of radiofrequency pulses the MRI can distinguish between different tissues that have different relaxation rates

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31
Q

How are MRI scans prepared for analysis?

A

 Taking multiple images and averaging them produces greater contrast between gray matter and white matter
 Even higher spatial resolution and grey/white differentiation is possible with longer scan times and higher field strengths

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32
Q

What is tractography?

A

tracing tracts by visualising fibres

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33
Q

What is the basis of DTI?

A

o DTI- based on use of diffusion of water molecules to generate different pixel intensities that can contain information about direction of water movement

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34
Q

What is mean diffusivity?

A

o Mean diffusivity-
 A measure of the average molecular motion independent of any tissue directionality.
 It is affected by cellular size and integrity
 Anything that changes the physical structure of the area will alter mean diffusivity

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35
Q

What is the concept behind diffusion tensor imaging?

A

 Diffusion of protons depends on freedom of movement in tissue
• Protons move differently in different brain compartments
• Membranes restrict movement
 In fibre tracts, combination of movement in axonal membrane and surrounding oligodendrocyte membrane (myelin) restricts movement of protons
 Restricted proton movement can be discerned in MRI
o The diffusion matrix (tensors) can be used to generate a 3D image of the tracts
 Outline squares in the matrix where protons can’t move much: these will be the fibre tracts
 In the myelin of oligodendrocytes, there is directionality: can tell moving from anterior to posterior/ superior or inferior
• Hence, DITs can show which direction the fibres are projecting in and the fibre tracts in an area

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36
Q

Describe the properties of protons in CSF that are important in diffusion tensor imaging

A

o Isotropic
 Moves in all directions
o Water
o High diffusivity

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37
Q

Describe the properties of protons in grey matter that are important in diffusion tensor imaging

A

o Isotropic
o Low diffusivity (move in any direction but constrained-in smaller space)
o Lots of water in cells but also lipid, cell membranes

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38
Q

Describe the properties of protons in white matter that are important in diffusion tensor imaging

A

o Anisotropic
 Constrained direction- can only move in very narrow space along longitudinal axis of axons
o High diffusivity
o Mostly myelin but also axonal membranes

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39
Q

What is fractional anisotropy?

A

o FA fractional anisotropy- scalar value between zero and one that describes the degree of anisotropy of a diffusion process- a value of zero means that diffusion is unrestricted and value of one means that diffusion is fully restricted

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40
Q

What is the basis of positron emission tomography?

A

 PET measures positrons following injection of a radioactive tracer containing a positron-emitting isotope into the blood stream
 More glucose uptake= more gamma radiation= greater image intensity

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41
Q

What is the process of PET?

A

 A commonly used PET tracer is a labelled form of glucose- fluoreoxyglucose (FDG) which is a glucose analogue
• Although can also tag water for blood flow or receptors for neurotransmitter release
 FDG is taken up by high-glucose-using cells such as neurons, where it is then phosphorylated which prevents the glucose from being released again from the cell
 The phosphorylated FDG cannot move out of the cell before its radioactive decay which has a half life of 110 minutes
 When radioactive nuclei decay, they emit positrons
 These positrons collide with a nearby electron resulting in the emission of 2 gamma rays in opposite directions
 Gamma rays are sensed by detectors surrounding the brain
 Original gamma ray emission location is then reconstructed
• 4-5 minutes

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42
Q

What is the principle behind fMRI? Explain

A

 Most common form of fMRI and relies on the finding that neuronal activity is associated with changes in regional blood flow
 T1 relaxation- not related to changes in haemoglobin
 T2 relaxation- affected to changes in haemoglobin
• Magnetic susceptibility of deoxygenated haemoglobin is about 20% greater than haemoglobin
• Magnetic susceptibility of deoxygenated haemoglobin affects rate of T2 relaxation
o Magnetic properties of a blood cell (haemoglobin) depends on whether it has an oxygen molecule
 With oxygen-> zero magnetic moment
 Without oxygen-> sizeable magnetic moment (paramagnetic)

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43
Q

What is the process of fMRI and why does this process work?

A

• fMRI is a relative measure so you need to compare signal changes relative to a baseline period during the same scan
o Can only be used to measure evoked activity
• When blood vessel is full of deoxyhaemoglobin, disrupts magnetic field
• When blood vessel is full of oxygenated haemoglobin, there is no disruption of magnetic field
• In a resting neuron, the amount of oxygenated haemoglobin entering the capillary bed is about equal as the amount of deoxygenated haemoglobin leaving the capillary bed
• In an activated neuron, there is oversupply of oxygenated haemoglobin and hence leaving capillary body has more oxygenated haemoglobin than it would have at rest
o Oversupply results in less overall distortion of magnetic field-> measured as an increase in blood oxygen level dependent signal
• However, increased blood flow to meet oxygen demands in activated neurons slightly delayed (4-6 seconds)

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44
Q

Explain the shape of the fMRI BOLD response graph

A
  • Initial dip- reduction in the amount of oxygen in that brain area
  • Positive BOLD response- brain detects that the area of interest is using many resources and rushes new fresh blood to brain area
  • Negative BOLD response- stimulus is shut down-> blood is not urgently provided to area of interest anymore
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45
Q

What are the advantages of fMRI?

A
  • Good spatial resolution

- Non-invasive, not requiring injection of radioactive materials like PET. Subject can be repeatedly scanned

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46
Q

What are the disadvantages of fMRI?

A
  • Noisy
  • Susceptible to motion artefacts
  • Areas near bone tissue interfaces are susceptible to artefacts
  • Metal implants can be dangerous
  • More susceptible to neural inputs than outputs
  • Bad temporal resolution
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47
Q

Describe how imaging using radioactive tracers is done in animals

A

o Radioactive tracers (only in animals)
 Radioactive tracer given
 Sacrifice the animal and flatten the desired section
 Look at path that the radioactive tracer has gone

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48
Q

Describe optical imaging as a way to measure brain activity. Can it be done in humans?

A

• Optical imaging (Only in animals)
o Put a camera directly on surface of the brain and film with a camera
o Look at ratio of blue: red light
 If a stimulus is shown, the area of the brain activated due to this stimulus will reflect blue light more than red light

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49
Q

Describe how transcranial magnetic stimulation (TMS) works and what it allows

A

• Transcranial magnetic stimulation (TMS)
o Uses a magnet in a shape of a coil
 Contains a couple of copper windings which passes a strong electrical current, producing a strong magnetic field coming out of the coil
o Place coil on top of people’s heads employs magnetic pulse through the skull of the patient, interfering with brain activity directly underneath the coil
o By targeting different areas in the brain, can look at different brain activities
o Finds if a brain area is causally involved with a function by magnetically interfering with/stimulating that brain area

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50
Q

Describe Clarity as a way to image the brain and how it is performed

A

o Make the brain transparent and use labelling molecules to label areas of interest
o Can be done on the whole brain
o To make brain transparent, first add a hydrogel mesh (to hold all components together), then remove the fat

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51
Q

Who was Claude Shannon and what important contribution did he make?

A

• Claude Shannon-
o Key character in developing and quantifying the concept of information
o Worked on missile control systems
o Worked for a phone company
o Proposed the information theory
o Found that compression of information makes for more effective communication
o Applied concept of entropy-the amount of disorder- to information processing
o Provided framework for thinking about the brain

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52
Q

What is the information theory and why was it originally proposed?

A

o The information theory- studies the quantification, storage and communication of information
 Originally proposed by Claude Shannon to find fundamental limits on signal processing and communication operations such as data compression

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53
Q

Describe the relationship between entropy and compression. Give an example

A

 The higher the entropy, the more difficult the compression
• E.g. an image of an empty blue sky would compress to an extremely small file whilst an image of static would result in a very big file size
o JPEG is such a compression tool

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54
Q

How is the information theory applicable to the brain? Which of Barlow’s dogmas does this match with?

A

• Applicable to the brain- the brain wants the smallest number of neurons firing such that it can code important information in an environment without having to use many neurons (which would use a lot of metabolic energy)
o Matches with Barlow’s second dogma- The sensory system is organized to achieve as complete a representation of the sensory stimulus as possible with the minimum number of active neurons

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55
Q

What is the purpose of the Bayesian framework?

A

• Bayesian framework

o Allows the use of previously obtained knowledge/beliefs to help the calculate the probability of a related event

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56
Q

What percentage of our body weight does the brain consist of?

A

2%

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57
Q

What percentage of our energy does the brain consume?

A

20%

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58
Q

Define the Bayes’ theorem and what each letter describes

A

o Bayes’ theorem is defined as P(HIE)= ((P(EIH)*P(H))/P(E)
 Where H is the hypothesis
 Where E is the evidence
 Where P(HIE) is the conditional probability that hypothesis occurs given the evidence
 Where P(EIH) is the likelihood of evidence
 Where P(H) is the marginal probability that hypothesis is true

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59
Q

What is Bayesian inference?

A

o Bayesian inference is the process of deducing properties about a population or probability distribution from data using Bayes’ theorem

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60
Q

According to the Bayesian framework, what two pieces of information are important in solving ambiguities?

A

o Two pieces of information important in solving ambiguities
 The new event itself
 Knowledge of prior information that can be related and used to interpret the new event

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61
Q

What are requirements for the information processing system?

A

• Information processing system takes some form of input and turn it into a useful output

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62
Q

What is the information processing system for the brain?

A

• For the brain: External inputs (sensory information)-> storage and algorithms (memories)-> external outputs

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63
Q

What is a representation? How is its usefulness determined?

A

o Representation- stored information (in a particular format)
 Formal system for making explicit certain entities or types of information, together with a specification of how the system does this
 Any particular representation makes certain information explicit at the expense of information that is pushed into the background and may be hard to recover
 The usefulness of a representation depends upon how well suited it is to the purpose for which it is used

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64
Q

What is a process?

A

o Process- an algorithm that changes the form of the representation

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65
Q

Describe Shepard and Metzler (1971)’s representation experiment and its conclusion

A

o Shepard and Metzler (1971)
 Showed subjects either original object or rotated object
 The more rotated away from its original orientation the object was, the harder it was to recognise the object as a copy of the original
 Suggests that brain is physically rotating the object into the same orientation as the other one to make the comparison

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66
Q

What are Marr’s (1982) levels of explanation?

A

• The three levels at which any machine carrying out an information processing task must be understood, but as these concepts are somewhat loosely related, some phenomena may be explained at only one or two of the
o Computational theory
o Representation and algorithm (most important level of thinking)
o Hardware implementation

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67
Q

Describe Marr’s computational theory, its important features and examples of its accomplishments.

A
o	Computational theory
	What is the goal of the computation, why is it appropriate, and what is the logic of the strategy by which it can be carried out?
	Important features
•	It contains separate arguments about what is computed and why
•	Resulting operation is defined uniquely by the constraints it has to satisfy
	What and why
	What are we trying to accomplish?
•	Object recognition
•	Emotion perception
•	Store memories
•	Guided action 
•	Etc.
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68
Q

Describe Marr’s representation and algorithm level and examples of such steps

A

o Representation and algorithm (most important level of thinking)
 How can this computational theory be implemented? In particular, what is the representation for the input and output, and what is the algorithm for the transformation?
 How
 What are the steps we will take to reach this goal?
• Inputs (ingredients)
• Algorithm (recipe)
• Outputs (goal)

69
Q

Describe Marr’s hardware implementation level

A

o Hardware implementation
 How can the representation and algorithm be realized physically?
 How are we physically going to accomplish this task?
• Mechanical system
• Biological system

70
Q

What are two examples of smart encoding in the visual system?

A
  • Cone sensitivity-smart encoding example

* Receptor layout- smart encoding example

71
Q

Why is cone sensitivity in humans an example of smart encoding?

A

o M cone and L cone overlap in wavelength sensitivity allows for increased distinction between red and green- important in our ancestors to distinguish fruit and food in trees- smart encoding

72
Q

What is the sensitivity profile of cones?

A

o Sensitivity profile demonstrates how much light a cone would absorb, which translates to firing rate, as a function of wavelength

73
Q

What is the peak of the S cone?

A

 S cone peak- 420 nm

74
Q

What is the peak of the M cone?

A

 M cone peak- 500 nm

75
Q

What is the peak of the L cone?

A

 L cone peak- 570 nm

76
Q

Why is receptor layout an example of smart encoding?

A

• Receptor layout- smart encoding example
o Fovea (where light lands) has extremely high sensitivity and is very dense in cone receptors whilst the rest of the retina (periphery) has a high density of rods
 Only the fovea sees in colour as it takes a lot more energy to do so
• Fovea contains many simple retinal circuits
 Rods are extremely sensitive-> makes the periphery extremely sensitive to peripheral light
• Periphery contains many convergent retinal circuits

77
Q

How many cone photoreceptors do we have?

A

5 million

78
Q

How many rod photoreceptors do we have?

A

120 million

79
Q

How many optic nerve axons do we have?

A

1.1 million

80
Q

Describe a simple retinal circuit

A

o Simple retinal circuit- 1 photoreceptor: 1 ganglion cell

 Extremely sensitive localisation

81
Q

Describe a convergent retinal

A

o Convergent retinal circuit- many photoreceptors converge on one ganglion cell
 Sensitivity over large amount of space but poor resolution
 Response increases as more of the convergent receptors are activated

82
Q

How can the brain clean up representations?

A

• Using priors to clean up representations

o The brain can use prior highly reliable information to infer information and representations

83
Q

Are all representations equal? Explain

A

• Not all representations are equal
o The same information can be represented in a variety of ways (encryption is meant to hide information)
o Some representation are better for the brain than others

84
Q

How can brain representations be studied?

A
•	Reconstructing brain representations from behaviour 
•fMRI
• Magnetoencephalography (EMG)
o	EEG
o	Single unit recordings
85
Q

How can reconstructing brain representations from behaviour/imaging studies be used to study brain representations?

A

• Reconstructing brain representations from behaviour
o Can look at brain representations in a spatial manner (compare two representations and their distance apart is represents the amount of difference between the two representations- how the brain represents the concepts between one another)
 Representational geometry
o To characterize the geometry of a representation, we can compare brain-activity patterns representing a set of stimuli to each other or verbally ask the subject the degree of dissimilarity between the two simuli
 The dissimilarity of two patterns corresponds to the distance between their points in the representational space
 We can then construct the representational dissimilarity matrix, in which we can look up the representational distance for each pair of stimuli

86
Q

What is representational geometry?

A

 Representational geometry-captures both the information represented in a neuronal population code and the format in which it is represented

87
Q

How can fMRI be used to study brain representations?

A

o Different brain activity for different types of concepts/images

88
Q

Where are inanimate and animate objects represented on the brain? Who studied this?

A

 Inanimate and animate objects are represented on separate sides in the inferotemporal cortex (area of the brain dedicated to identifying objects) (Kriegeskorte 2008)

89
Q

How can magnetoencephalography be used to study brain representations?

A

• Magnetoencephalography (EMG)

o Time varying representational structure

90
Q

What do response patterns elicited by images of the same category form in the ventral-temporal response patterns space? What are these major categories?

A

• Response patterns elicited by images of the same category form clusters in ventral-temporal response-patterns space
o Major categorical divisions are between animates and inanimates and between faces and bodies

91
Q

Is response-pattern dissimilarity significantly correlated with physical distance in the brain?

A

• However, response-pattern dissimilarity is not significantly correlated with physical distance anywhere in the brain

92
Q

Describe the components of a brain region’s representation

A

• It is the pattern of activity across neurons that represents the content
o The many possible combinations of activity states of neurons provide a rich representational space
o A brain region’s representation is a multidimensional space
 Dimensions of the space correspond to the neurons
 Point corresponds to an activity pattern
 Set of all possible objects corresponds to av vast set of points in the space
 It is the geometry of these points that defines the nature of the representation

93
Q

Describe Marr’s 1983 viewer centred steps of hierarchical processing and disentanglement of information for object perception. as well as their purpose and primitives

A

Name: Image(s)
Purpose: Represents intensity
Primitives: Intensity value at each point in the image

Name: Primal sketch
Purpose: Makes explicit important information about the two-dimensional image, primarily the intensity changes there and their geometrical distribution and organization
Primitives:
Zero-crossings
Blobs
Terminations and discontinues 
Edge segments 
Virtual lines
Groups
Curvilinear organization 
Boundaries 
Name: 2 1/2-D sketch
Purpose: Makes explicit the orientation and rough depth of the visible surfaces, and contours of discontinuities in these quantities in a viewer-centred coordinate frame 
Primitives:
Local surface orientation
Distance from viewer
Discontinuities in depth
Discontinuities in surface orientation
94
Q

Describe Marr’s 1983 object centred step of hierarchical processing and disentanglement of information for object perception. as well as their purpose and primitives

A

Name: 3-D model representation
Purpose: Describes shapes and their spatial organisation in an object-centred coordinate frame, using a modular hierarchical representation that includes volumetric primitives as well as surface primitives
Primitives:
3-D models arranged hierarchically, each one based on a spatial configuration of a few sticks of axes, to which volumetric or surface shape primitives are attached

95
Q

What is a receptive field?

A

• Area covered by receptors in a sensory unit is a receptive field

96
Q

What is acuity?

A

o Acuity- ability to discriminate two separate stimuli in a sensory system

97
Q

What is needed for high acuity?

A

o For high acuity, need:
 High density of receptors
 Small receptive fields
 Low convergence

98
Q

What are features?

A

• Features- physical and cognitive constructs the brain is encoding

99
Q

What features do the visual parts of the brain encode? Give examples for each feature

A
o	Vision
	Physical features
•	Spatial frequency and contrast
•	Motion speed and direction 
	Higher order features
•	Face identity
•	Biological motion 
	Cognitive features/constructs
•	Emotions
100
Q

What is high spatial frequency?

A

o High spatial frequency-densely packed stimuli

101
Q

What is low spatial frequency?

A

o Low spatial frequency- widely spaced stimuli

102
Q

What spatial frequency are humans most sensitive to?

A

o Most sensitive to frequencies in the medium range

103
Q

Describe how convergent visual circuits work and a disadvantage of such a circuit

A

• Convergent circuits
o Firing rate increases as number of receptors activated increases
o Each receptor picks up information from a specific area
o Sensory neurons converge on single second order neuron
o Receptive field of secondary neuron will be the sum of the receptive field of sensory neurons that converge on it
 Hence, secondary neuron cannot discern from which converged sensory neuron the stimulus came from

104
Q

Where are centre-surround circuits found?

A

o Found in retina and lateral geniculate nucleus

105
Q

What are centre-surround receptive fields used for and how do they work?

A

o Used to enhance contrast adaptation and accurately locate stimulus
o Stimulus-> responses to stimulus-> inhibition of neighbouring cells-> contrast enhancement
o Receptors will send signals to respective postsynaptic neurons and circuit postsynaptic to these receptors is arranged in such a way that when a receptor is strongly stimulated, there will be lateral inhibitory interneurons that get stimulated and will inhibit transmission of signals from the receptors not stimulated
o Centre of receptive field is excitatory and increases activity of the neuron and outer ring is inhibitory (decreases activity of the neuron)

106
Q

What types of receptor fields/cells are in the primary visual cortex? What are they sensitive to and how are they activated?

A

o Simple cells acting as edge detectors
o Building of V1 elongated receptive fields from circular receptive fields
 V1 receptive fields are elongated and rectangular, and are extremely sensitive to direction of bars of light: different cells have different orientation preferences
• Orientation preference varies across primary visual cortex areas
 Stimulus activation of the neuron-
• Bars that are not in a preferred orientation will produce no firing rate for the neuron
• If the stimulus is in an angle close to the preferred orientation, a relatively weak response will be produced
• If the bar stimulus is in the preferred orientation, it will elicit a strong response

107
Q

Describe Hubel and Wiesel’s model of the elongated receptive field in V1

A

 Hubel and Wiesel model of elongated receptive field
• If V1 cortical neurons receive converging input from three or more lateral geniculate nucleus neurons whose receptive fields are aligned on a line in the retina

108
Q

What is neuronal adaptation?

A

o Neurons can recalibrate their firing rate to their environment

109
Q

How many retinotopic maps are in the visual cortex/frontal cortex?

A

17-22

110
Q

Why are maps used in the brain?

A

• Maps are extremely efficient
o Minimises axon wiring by mapping connected areas next to each other
 Reduces conduction delays

111
Q

What is the relationship between map size on the brain and sensitivity of the area?

A

• The bigger the map area on the brain, the more sensitive that area is
o Neural real estate tells what is important to the brain

112
Q

Describe the conscious vision pathway (include sides)

A

o Conscious vision optic pathway: Retina-> optic nerve-> decussation at optic chiasm-> lateral geniculate nucleus of the thalamus-> Primary visual cortex
 Cells of nasal retina decussate to contralateral side
 Cells in temporal half of the retina remain on ipsilateral side
o Visual field maps to contralateral cortex
 Mapping contains information from both retinae

113
Q

Describe the 6 layers of the LGN and what is in them

A

o LGN divided into 6 layers:
 Three main divisions (functional map)
• Top 4 layers (2 for humans)- parvocellular (3-6)
• Lower 2 layers- magnocellular (1,2)

114
Q

Compare parvocellular cells and magnocellular cells in terms of:

  • Cell size
  • Response length
  • Input cells
  • Primary function
  • Response type
  • Receptive field size
  • Contrast sensitivity
A
Parvocellular:
Small cells
Sustained response
Input from midget ganglion cells
Responsible for high acuity vision
o	Carries signals for red-green colour vision (cones) and for high acuity spatial vision
On type response
Small receptive fields
Sensitivity at high contrast 
Better at detecting higher spatial frequencies
Magnocellular:
Large cells
Transient response
Input from parasol ganglion cells
Responsible for motion perception
On type response
Large receptive fields
Sensitivity at low contrasts
Better at detecting contrast sensitivity
115
Q

What are the two mapping types in the LGN?

A
  • Functional map

- Eye of origin information

116
Q

How does the LGN map eye of origin information?

A

 Retinofugal projection to the lateral geniculate nucleus: segregation of inputs according to eye of origin
• Inputs from ipsilateral fibres project to layers 2, 3 and 5
• Inputs from the contralateral fibres project to layers 1,4 and 6
• Neurons in the lateral geniculate nucleus possess very similar receptive field properties to the neurons in the retina

117
Q

Describe the map in the primary visual cortex?

A

• V1 (primary visual cortex) map-
o Faithful input from the lateral geniculate nucleus according to topography, function and laterality
o Encodes eye of origin information in alternating column
o Has orientation columns distributed across the map
 Progressive orientations

118
Q

What is the role of V2 and V3?

A

Orientation

119
Q

What is the role of V4?

A

Colour

120
Q

What is the role of V5?

A

Motion

121
Q

What is the role of ventral visual pathway (lateral occipital complex)?

A

Object categories

122
Q

What is a brain map?

A

• Map- a clustering of neurons with similar functional properties that is characterised by a gradual progression of preferred stimulus values across the cortical sheet and has ordinal characteristics

123
Q

What is a brain module?

A

• Module- a clustering of neurons with similar functional properties that is characterised by discrete regions with clear boundaries across which there is no relation in preferred stimulus values
o Progress into modules as cortices increase in complexity

124
Q

What is a rhythm?

A

• Rhythm- any repeating pattern over time
o Simple waveforms
o Complex waveforms

125
Q

What is the amplitude of a wave?

A

o Amplitude- measurement from peak to through

126
Q

What is the phase of a wave?

A

o Phase- shift forward/backward in time

127
Q

What is the frequency of a wave?

A

o Frequency- Velocity of wave repeats

128
Q

What is Fourier’s theorem, fast fourier transform analysis and its use?

A

o Complex sounds can be decomposed into a series of pure tones
 Fast fourier transform analysis is a mathematical method for transforming a function of time into a function of frequency
• Frequency on x axis, amplitude on the y axis
o Can be used to calculate energy in waveforms

129
Q

What are biorhythms controlled by the brain?

A
o	Biorhythms controlled by brain
	Heart rate
	Breathing
	Sleeping patterns 
	Hunger patterns
130
Q

What is the rhythmic structure of the brain when asleep?

A

Larger waves and more repetitive

131
Q

What is the rhythmic structure of the brain when awake?

A

o Rhythmic structure when awake- noisy and small waves: small evidence of rhythmic patterns

132
Q

Describe the brain waves that occur at the boundary between sleep and wakefulness

A

o Alpha waves at boundary between sleep and wakefulness- caused by lack of visual input and relaxed state
 Move closer to sleep-like state
 Alpha- 10Hz/sec

133
Q

Describe the brain waves that occur when transitioning to sleep

A

o Theta waves- transition to sleep

 Slow wave and increase in power

134
Q

What are common brain rhythms studied and their wavelengths? Are they mutually exclusive?

A
o	Gamma
	30-100 Hz
o	Beta waves
	13-30 Hz
o	Alpha waves
	8-13 Hz
o	Theta waves
	4-8 Hz
o	Delta waves
	0.5-4Hz
o	These waves are not mutually exclusive- can be combined at a point in time
135
Q

Describe the role of the medulla oblongata and how it performs these functions

A

• Rhythmic core functions- breathing and heart rate
o Need the brain stem to survive- essential to rhythmic core functions
 Medulla oblongata- controls heart and lungs
• Monitors amount of carbon dioxide and oxygen in the bloodstream-> close circuited system
• Don’t need to consciously think about this

136
Q

How can the medulla oblongata be fooled?

A

• Can fool this system by hyperventilating-> brings up oxygen levels in the blood to very high standard-> steal extra seconds underwater
o However, has disadvantages-> hyperventilation can lead to passing out

137
Q

How is the binding problem solved by brain rhythms?

A

• Brain rhythms can solve binding problem-
o Neurons fire rhythmically in a way that you can separate two objects
 Different visual areas responsible for different properties fire in the same way for a specific object
• Unique pattern for a separate object

138
Q

What is the relationship between epilepsy/seizures and brain rhythms? How can this be triggered? What are seizures?

A

Seizures are large disturbances in brain activity that spread from a focal region of the brain
o Epilepsy and seizures
 Rhythms get out of control in the brain
• Can be triggered by high temperature

139
Q

What is the Jacksonian march?

A

 Jacksonian march

• Can see seizure moving across body-> move along brain homunculus

140
Q

What substance has good therapeutic properties for some seizures?

A

 Marijuana has good therapeutic properties for some seizures
• THC-hallucinogen
• Cannabinoids- reduce seizures

141
Q

What are 4 different types of biorhythms? Define them and their length

A

o Circannual: about 365 days
 Hibernation, reproduction, seasonal depression
o Infradian: >24 hours
 Estrous and menstrual cycles (multiple days)
o Circadian: around 24 hours
 Influences alertness levels (highest when awake), core body temperature levels (highest when awake), growth hormone secretion levels (highest when asleep)
o Ultradian: <24 hours
 90-minute cycles

142
Q

What are biorhythms based on time controlled by? How does this work?

A

• Biorhythms may be due to environmental or internal influences
o Jean-Jacques d’Ortous de Mairan
 Something in the genetic code that influences our internal clock
 But there are also environmental influence- without environmental influence, internal clock gets distorted
• This is as clock gets reset every day when the sun comes up: more precise measurement and calibration

143
Q

What are the two component processes of the circadian sleep cycle?

A

o Circadian sleep cycle has two component processes
 Homeostatic sleep drive
• Regulated by hormones
• Cortisol decreases, melatonin increases
 Circadian rhythm
• Driven by suprachiasmatic nucleus
• Influenced by light and environmental factors

144
Q

What is homeostasis?

A

• Homeostasis- the body maintaining balance around a set point
o Works through negative feedback loop

145
Q

Describe the neural mechanism of sleep homeostasis

A

• Sleep homeostasis neural mechanism
o Many hours of wakefulness-> Sleep-promoting chemical accumulates-> Sleep-> Sleep-promoting chemical is destroyed during sleep

146
Q

What is adenosine and how does it act? (release, results, effect…)

A

 Sleep-promoting chemical=adenosine
• Adenosine accumulates during wakeful periods and decreases during sleep
• Released by glia and neurons when low on fuel
• Results in increased blood flow (more fuel)
• Increases activity in the ventrolateral preoptic area
• Promotes sleep

147
Q

Why does caffeine induce wakefulness?

A

• Caffeine blocks adenosine receptors (antagonist)

148
Q

How does the structure of mutual inhibition between sleep and wakefulness work? Describe the structures involved

A

• Mutual inhibition between sleep and wakefulness
o Alert waking state activates brainstem and forebrain arousal systems (Ach, NE, 5-HT, Histamine)
 Motivation to remain awake comes from orexinergic neurons in the lateral hypothalamus
o Inhibited waking state leads to activation of sleep-promoting region in vPOA
o vPOA and brainstem/forebrain arousal systems mutually inhibit each other

149
Q

What is the role of the suprachiasmatic nucleus and how does it do so?

A

• Suprachiasmatic nucleus (SCN)
o Master internal clock
o Governs circadian rhythms
 If structure is damaged, circadian rhythms are impaired
o Single-cell rhythmic structure during circadian rhythm
 Different cells can run on slightly different cycles (shifted in time/phase)
• Govern different processes
o Intrinsically reset by projections from photosensitive retinal ganglion cells

150
Q

Are sleep patterns in mammals the same for every mammal?

A

• Large diversity of sleep patterns in mammals

151
Q

Describe the white-crowned sparrow sleeping patterns

A

o White-crowned sparrow

 Drop to 1/3 of their normal sleep during migration and catch up afterwards

152
Q

Describe the indus dolphin sleeping patterns

A

o Indus dolphin

 Will sleep for 7 hours a day but will perform micro sleeps (sleep for a few seconds at a time)

153
Q

Describe the amazonian dolphin sleeping patterns

A

o Amazonian dolphin

 Hemispheric sleep- sleep one hemisphere at a time

154
Q

What is the important of sleep?

A
  • Sleep as an adaptative state
  • Hormonal function
  • Focus and memory
  • Immune function
  • Performing maintenance on brain
  • Emotional balance
  • Mental health
155
Q

Why is sleep considered to be adaptively important?

A

o Anticipate difficult periods (scarcity of food, mates, extreme environmental conditions)
o Reduced metabolism, energy savings
o Avoid risks (injury, predators)

156
Q

Describe an example of how hormonal function is affected by sleep

A

• Hormonal function

o Insulin action decreases if adequate sleep is not provided

157
Q

Describe an example of a task demonstrating how focus is affected by sleep

A

• Focus and memory
o Psychomotor vigilance task
 Reaction time task -how fast people respond to a visual stimulus
 Over 2 weeks, there is accumulation of sleep deficit: those who have had little sleep over the two weeks become gradually worse at this task

158
Q

Describe an example showing that immune function is affected by sleep

A

• Immune function

o Effectiveness of hepatitis vaccine decreased when group denied sleep after vaccine- antibodies not produced as readily

159
Q

Describe an example showing the maintenance of the brain done during sleep

A

• Performing maintenance on brain

o Beta-amyloid plaque removal (that is linked to Alzheimer’s) during sleep

160
Q

Describe an example showing that lack of sleep disrupts emotional balance

A

• Emotional balance
o Depriving people of sleep decreases memory for all pictures, regardless of emotional affect
o However, sleep-deprived people remember negative memories more than positive memories

161
Q

Describe an example showing that mental health is affected by sleep

A

• Mental health
o Depression and apnea are like (if you have apnea, you’re 6x more likely to be depressed)
 Helping people get a better night’s sleep with CPAP reduces depression
o Great sleep disturbances increase risk of depression

162
Q

Describe REM/non-REM sleep throughout humans’ lifespans

A

• Sleep and types of sleep changes across the lifespan
o Firstborns sleep about 16 hours a day, roughly evenly distributed between REM sleep and non-REM sleep
o Teens sleep, little REM sleep but a lot of time in non-REM sleep
o REM sleep decreases as we get older, but amount of non-REM sleep stays approximately the same

163
Q

What are the two main types of sleep and their main functions?

A
•	Types of sleep-
o	REM sleep- 
	A part of sleep restorative to the mind
o	non-REM sleep-
	Restorative to the body
164
Q

Describe the sleep cycle, its length and the general significance of each stage

A

• Sleep cycle stages (cycle lasts around 90-120 minutes)
o Stage 1
 Light transitional sleep (drowsiness begins)
o Stage 2
 More stable sleep- chemicals block in senses making it difficult to be woken
o Stage 3
 Deep sleep- growth hormone is released
o REM sleep
 Revitaliser memory- intense dreams occur

165
Q

What is N1 stage of the sleep cycle, what waves is it characterised by, what bodily changes accompany it and how long is it?

A

 Stage N1- non-REM sleep
• Characterised by theta waves
• Body temperature drops, muscles relaxed, eyes slowly pivot side to side
• Characterised by slight loss of awareness of surrounding but can be easily awoken
• Only a few minutes long

166
Q

What is N2 stage of the sleep cycle, what waves is it characterised by, what bodily changes accompany it and how long is it?

A

• Slow waves are intermingled with sleep spindles and k complexes
o Sleep spindles- brain disconnects from sensory input and related to memory consolidation
o K complex-when brain checks on exterior surroundings to ensure its safety
 Built in vigilance
o Eyes are still and heart rate/breathing continues to slow
o Spend 10-20 minutes in this stage

167
Q

What is N3/deep sleep stage of the sleep cycle, what waves is it characterised by, what bodily changes accompany it and how long is it?

A
  • Young people spend about 20% of their time in deep sleep
  • People over 65 rarely enter deep sleep
  • After sleep deprivation, people spend a greater proportion of time in deep sleep
  • Characterised by delta waves
  • Growth hormones will be released and immune system becomes activated (body maintenance period)
168
Q

What is REM stage of the sleep cycle, what waves is it characterised by, what bodily changes accompany it and how long is it?

A

 Facilitates learning and memory
 People deprived of REM sleep lose these benefits
 When deprived of REM sleep, the following night the brain will spend more time in REM (REM-rebound)
 All muscles except for eyes flatline in terms of waves-> eyes should be the only muscle movement

169
Q

What is an example of a drug that can be used to avoid sleep? Should it be used?

A

• Modafinil
o Seemingly able to stimulate restorative state
 Helps to stay awake
 Circumvent sleep
o However, danger of addiction and increase of long-term sleeping needs
 Need extra time to rest afterwards
• Best not to avoid sleep using drug