HC1 Introduction Flashcards

1
Q

Cognitive neuropsychology

A

The study of the relation between structure and function of the brain and specific cognitive functions (e.g. language, memory, attention, …)

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2
Q

Cognitive neuropsychology research

A
  • By investigating these cognitive processes in normal healthy people.
  • By investigating the breakdown of these processes in brain-damaged individuals (as a result of acquired brain damage or as a result of a developmental disorder).
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3
Q

Brain enthusiasm

A
  • Brain scans as evidence in court of law
  • Brain scans might be overinterpreted by laypersons.
  • Good progress for several neurological syndromes, but less progress for psychiatric and mental syndromes.
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4
Q

Neurons

A

Contain with cell bodies in grey matter of cerebral cortex and subcortical structures

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5
Q

Axons

A

Contained by white matter

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6
Q

Neuron without input

A

Without input (at rest), cell membrane of a neuron has
an electrical potential difference between in- and outside of -70 mV

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7
Q

Post-synaptic potential

A

Is determined by integrating input of many synapses at the dendrites. It can hyperand depolarize.

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8
Q

Neural communication

A

o Input neurons (through neurotransmitters): action potentials over time
→ Membrane potential of post-synaptic neuron depolarizes or hyperpolarizes
o Over time, membrane potential of post-synaptic neuron changes in function of input it receives = signal

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9
Q

Simplest signal

A

Sinusoidal oscillation

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10
Q

Frequency

A

Rate of change of signal, e.g. in the time dimension
o 1 Hz = completing a full cycle (going up & down) in one second
o Biological signals never contain just one frequency

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11
Q

Complex signals can be decomposed into..

A

Frequency components
Each has a particular frequency (e.g., 1 Hz, 2 Hz, 3 Hz, …)

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12
Q

Amplitude

A

How much it goes up and down

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13
Q

Phase

A

When it goes up and down

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14
Q

Frequency spectrum

A

Measured range of frequencies

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15
Q

Highest frequency

A

▪ Limited by sampling frequency
▪ ½ * sampling frequency (Nyquist sampling theorem)

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16
Q

Lowest frequency

A

▪ Limited by how long the signal is measured
▪ 1 / number of seconds measured

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17
Q

Filtering

A

Attenuating or excluding certain part of measured frequency spectrum (low-pass, high-pass or band-pass)

18
Q

Spectrogram

A

Strength of each signal component at each moment in time

19
Q

Electrophysiological changes are connected to other kind of changes: at a SMALLER scale

A

Movement of chemical substances and molecules
▪ E.g. depolarization: influx of Na+, repolarization: outward current of K+
▪ E.g. calcium concentration high in electrically active neurons → two-photon calcium imaging

20
Q

Electrophysiological changes are connected to other kind of changes: at a LARGER scale

A

Hemodynamics
▪ Blood supply is adjusted to current energy needs

21
Q

Energy consumption

A

o Electrophysiological events require energy
o Amplitude of potential changes not necessarily best predictor of energy consumption
▪ Action potential
o Restoring resting potential requires energy → energy consumption of neuron could correlate with number of action potentials
o Pre- and post-synaptic factors (e.g., neurotransmitter release) also require energy
o Exact energy distribution to different processes can vary (species, neuron type)

22
Q

Action potential

A

Passive chain of events that does not consume much energy

23
Q

Maps in the brain - Clustering

A

Noninvasive methods cannot achieve single neuron resolution
▪ Methods with highest spatial resolution still average signal from many neurons.

24
Q

Maps in the brain - Neurons of similar functional properties are clusrered together

A

o The more clustering, the more the averaged signal from many neurons corresponds to the signal of the individual neurons → sensitivity of a noninvasive imaging technique depends upon amount of clustering present
o Clustering on different spatial scales
▪ Topographic areas: for example the somatosensory homunculus but also for auditory or occipital information

25
Q

Temporal resolution

A

The smallest unit of TIME that can be differentiated by a method

26
Q

Spatial resolution

A

The smallest unit of SPACE which can be resolved

27
Q

Invasiveness

A

majority of methods are either fully invasive (skull needs to be penetrated) or not invasive at all
o Invasive methods: used mostly in animal studies
o Non-invasive methods: also used for humans

28
Q

Measuring brain structure

A
  • Histology
  • Structural magnetic resonance imaging (MRI)
29
Q

Histology

A

o Cutting brain in pieces (e.g. slice of mouse brain)
o Process chemically for visualization of specific structure
▪ Makes us able to differentiate between the 6 brain layers, and between different structures in the brain

30
Q

Structural magnetic resonance imaging (MRI)

A

o Investigation of anatomy in individuals
o Anatomical localization of functional findings
o Relate anatomical structure to differences between participants in e.g. behavior, disease classification

31
Q

Measuring hemodynamics

A
  • Changes in blood and tissue oxygenation, blood flow, and blood volume
  • Temporal resolution of hemodynamic imaging is poorer compared to electrical imaging due to slowness of hemodynamic events
    o hemodynamic events take 16 sec to develop
  • Spatial resolution varies strongly (but range smaller than for electrical signals):
    o (invasive) optical imaging: columnar structure visible
    o (non-invasive) fNIRS: several cm

NIRS -> PET -> fMRI

32
Q

Measuring electrophysiological activity

A
  • Spatial resolution
  • Quiroga et al. (2005): single unit recordings in epilepsy patients
  • Pitcher et al. (2011): EEG study
33
Q

Spatial resolution, affected by

A

o Distance electrode and source of the signal
o Intermediate tissue (e.g. skull)
o Noninvasiveness: highest frequencies cannot be picked up
▪ Different frequency bands contain very different information!

34
Q

Quiroga et al. (2005): single unit recordings in epilepsy patients

A

o Theory that in every person there is only on neuron that responses to a picture of their grandmother. For every different face a different neuron responds.
o Very exciting, but rare, ethical constraints, and difficult experimental control
→ less invasive techniques in humans

35
Q

Pitcher et al. (2011): EEG study

A

o Signal of EEG-electrodes on back of the head, averaged across many trials of viewing faces (red) or chairs (blue)
o Amplitude of N170 & P1 is stronger for faces versus chairs
o Due to low spatial resolution of EEG these components do not differentiate between Aniston, Pitt, …, and anatomical localization is poor

36
Q

Peripheral measures

A

Always good to measure peripheral data, in addition to the variables you want to measure
- Skin conductance
- Heart activity
- Muscle activity
- Eye measures

37
Q

Skin conductance

A

o index of (sympathetic) arousal intensity in affective or cognitive processing
o highly variable, difference between subjects is huge

38
Q

Heart activity

A

o heart rate
o heart rate variability: measures influence of PNS on heart
o blood pressure: measure of stress

39
Q

Muscle activity

A

o Facial EMG (electromyography) as a tool for inferring affective states

40
Q

Eye measures

A

o Eye movements: good measure of visual attention
▪ Saccades (fast movements of the eyes): Very fast (20-40 ms), no new information is acquired during saccades
▪ Fixations : Information acquisition occurs (mainly) during fixation
▪ Proudfoot et al. (2017) → Eye tracking in ALS patients
Trail making test A & B: connect the dots -> 1-2-3 / 1-A-2-B-3-C etc.
o Pupil dilation
▪ indicative of intense emotional arousal toward both pleasant and unpleasant stimuli and experiences
▪ Bradley et al. (2007): pupil dilation reflects SNS activity Pupil diameter larger for pleasant & unpleasant conditions than for neutral