07 Flashcards

1
Q

what did Richard canon find out? and when?

A

Electrical phenomena in
animal’s brains (1875)

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2
Q

what did Adolf beck find out? and when?

A

Recordings of oscillatory
electrical brain activity in
response to different types of stimulation (visual, auditory) (1890)

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3
Q

who discovered Electrical phenomena in animal’s brains?

A

Richard canon

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4
Q

who discovered Recordings of oscillatory electrical brain activity in response to different types of stimulation (visual, auditory)

A

Adolf beck

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5
Q

who recorded the first human electroencephalogram? and when?

A

Hans berger 1929

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6
Q

who reported the first alpha waves? and what else did they report?

A

Hans berger
First report of alpha waves (~8 12 Hz) and their
suppression when the subject opens the eyes

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7
Q

electric

A

changes in membrane potential

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8
Q

chemical

A

synaptic transmission

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9
Q

intracranial measurements

A
  • intraparenchimal recordings
  • electrocorticography (EcoG)
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10
Q

extra cranial measurements

A
  • magnetoencephalography (MEG)
  • electroencephalography (EEG)
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11
Q

how is the temporal resolution of EEG?

A

excellent

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12
Q

on what time scale can EEG measure?

A

Measuring electrical (or magnetic) potential on a sub
millisecond scale

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13
Q

how is spatial resolution in EEG? and why?

A

low
-> because of volume conduction
-> difficulty recording activity from deep sources
->inverse problem

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14
Q

what is volume conduction?

A

The spreading of electrical
current from the source to the receiver while crossing
different media

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15
Q

is volume conduction an issue with MEG?

A

no

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16
Q

what is difficult to record with EEG and why?

A

Difficult to record activity
from deep sources
> Electrical field spreads as a
function of distance
> The activity from neural
populations with different
orientations cancels out

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17
Q

what is the inverse problem?

A

Estimate the location of brain activity given the pattern of activity measured on the scalp
> ill-posed problem: impossible to solve perfectly

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18
Q

what are the advantages of EEG? (4)

A
  • High temporal resolution
    (milliseconds)
  • Directly measures electrical activity of the brain
  • (relatively) mobile and non
    invasive
  • (relatively) cheap
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19
Q

what are disadvantages of EEG? (3)

A
  • Poor spatial resolution
  • Very weak signal (small
    signal to noise ratio)
  • Difficult to measure deep
    structures
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20
Q

where is electric potential measured from?

A

Electric potential is measured from an array of electrodes placed
on the scalp with respect to a reference point (different possible locations, but mostly also on the scalp)

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21
Q

how is the position of the electrodes on the scalp?

A

standardized

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22
Q

what is the system for the electrode placement?

A

> 10- 20 system

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23
Q

what is the most common number of electrodes? and why?

A

64 -> good trade off

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24
Q

how many electrodes can be used?

A

max 256

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25
Q

what are pro/cons of more electrodes?

A
  • more spatial accuracy
  • more time to prepare
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26
Q

where are additional electrodes placed and why?

A

Additional electrodes placed on the face to record EYE
MOVEMENTS

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27
Q

how are the additional electrodes placed?

A

> Horizontal electrooculogram
HEOG ): to the corner of the eyes
Vertical electrooculogram
VEOG ): above and below the eye

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28
Q

what is the equipment? (9)

A
  • cap
  • electrodes bundles
  • gel
  • flat electrodes
  • amplifier
  • battery pack
  • trigger box
  • computer to record EEG data + software
  • computer to administer the task (if needed)
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29
Q

what is the EEG procedure? (3 steps?

A
  • step 1: place cap on the participant’s head
  • step 2: add gel in each hole of the cap
  • step 3: insert electrodes
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30
Q

what is the goal of data cleaning?

A

Remove all the noise and keep only the signal coming from the brain

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31
Q

what are you filtering out?

A
  • Low frequencies (drifts)
  • High frequencies (muscle contraction)
  • Line noise (50 Hz)
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32
Q

what are parts of preprocessing?

A
  • filtering
  • referencing
  • interpolarting bad channels
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33
Q

what is referencing?

A

Change in voltage with respect to this reference (external electrodes, average of all channels, one specific channel)

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34
Q

what is interpolating bad channels?

A

Correcting data from one electrode based on the average of its surroundings

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35
Q

what is epoching?

A

epoching is a procedure in which specific time-windows are cut from the continuous EEG signal

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36
Q

what is the independent component analysis (ICA)?

A

Decomposes the signal in independent parts explaining a portion of variance

37
Q

what does clean data look like?

A

The largest sources of noise have been removed, the signal from the brain is retained

38
Q

what is univariate?

A
  • (activation-based)
  • Comparing levels of activation across conditions, usually averaging across
    recording units
39
Q

what is multivariate?

A
  • (information based)
  • How spatially distributed activity patterns contain task relevant information
40
Q

examples of multivariate

A

-Decoding (machine learning)
- Representational similarity analysis
- ICA, PCA..

41
Q

what does each portion of recorded data contain? (ERPs)

A
  • signal and noise
42
Q

what cancels out the noise?

A

averaging across trials

43
Q

difference between signal and noise?

A

signal: similar in each trial
noise: randomly fluctuates across trials

44
Q

what can you see after many many trials?

A

Scalp recorded systematic neural signal generated by a specific neuroanatomical module when a specific computation is performed

45
Q

what did hallowed and Paulin Davis record? and when?

A

Recordings of sensory ERPs (1939)

46
Q

who recorder sensory ERPs?

A

Hallowell and Pauline Davis (1939)

47
Q

who recorded the first cognitive ERP? and when?

A

Grey Walter (1964)

48
Q

what did grey walker find?

A

First cognitive ERP
-> Contingent negative variation

49
Q

what is contingent negative variation (CNV)?

A
  • Condition A (No-Go):
    Passive viewing
  • Condition B (Go):
    Press a button upon
    detection of the target
    stimulus
50
Q

what does contingent negative variation reflect?

A

Reflecting preparation for
the upcoming target

51
Q

sensory & perceptual ERP components (2)

A
  • Visual P1
  • N170
52
Q

what is P1? and what does it reflect?

A

Large positive component,
most prominent at lateral
occipital electrodes, peaking roughly 100 ms post stimulus .
Reflects visual processing

53
Q

what is N170?

A

Lateralized posterior negative peak associated
with face processing

54
Q

what is the motor ERP component?

A

Readiness potential
Negative deflection preceding a movement , maximal above (contralateral) motor areas.

55
Q

where is P1 most prominent?

A

most prominent at lateral
occipital electrodes

56
Q

when does P1 peak?

A

peaking roughly 100 ms
post stimulus

57
Q

cognitive ERP components (3)

A
  • P300 (and subcomponents)
  • mismatch negativity
  • error-related negativity
58
Q

what is P300 sensitive to?

A

Sensitive to target probability , peaks
over frontal electrodes

59
Q

what is mismatch negativity?

A

Negative wave maximal at midline scalp sites, ~ 200 ms
post a deviant stimulus

60
Q

where does mismatch negativity occur?

A

at midline scalp sites

61
Q

when does mismatch negativity arise?

A

scalp sites, ~ 200 ms
post a deviant stimulus

62
Q

what is error-related negativity?

A

Negative deflection at
frontal and central sites
with onset immediately following an erroneous
response

63
Q

where is error-related negativity?

A

Negative deflection at
frontal and central sites

64
Q

when is error-related negativity?

A

with onset immediately following an erroneous
response

65
Q

what are oscillations?

A

The recorded data can be decomposed in signal (s) and noise

66
Q

what is the phase (oscillations)?

A

the angle at a given time

67
Q

what is the frequency?

A

the cycles per second (width)

68
Q

what is the amplitude?

A

how low/high the oscillation is

69
Q

what does the highest frequency you can look at depend on?

A

depends on your sampling rate

70
Q

frequency bands (5)

A
  • delta
  • theta
  • alpha
  • beta
  • gamma
71
Q

what is Delta associated with?

A

Associated with some sleep stages

72
Q

Hz of delta

A

1-4 Hz

73
Q

what is theta associated with?

A

Hippocampal theta associated with learning and
memory, midfrontal theta with cognitive control

74
Q

Hz of theta

A

4- 8 Hz

75
Q

what is alpha associated with?

A

Thought to inhibit the cortex not in use (i.e.
gatekeeping), for example in attention

76
Q

Hz of alpha

A

8 - 12 Hz

77
Q

what is beta associated with?

A

Linked to waking consciousness, active
concentration, motor processing

78
Q

Hz of beta

A

13 - 30 Hz

79
Q

what is gamma associated with?

A

Involved in conscious perception, WM and
attention

80
Q

Hz of Gamma

A

30 - 70 Hz

81
Q

where is alpa amplitude suppressed?

A

Alpha amplitude is suppressed in parietaloccipital
electrodes contralateral to the attended location

82
Q

effects of cue validity
contralateral - ipsilateral

A

60% - 80% - 100&

83
Q

what is machine learning?

A

Tries to learn how the brain
responds to different
conditions

84
Q

what is the goal of machine learning?

A

The goal is to
correctly predict to what
condition new, unseen data
belong to

85
Q

3 steps of decoding in ML

A

1) Train classifier on a
subset of labeled data
2) Test classifier on
new unlabeled data
3) repeat many times

86
Q

very large multidimensional data space

A

Need to be careful of
multiple comparisons
problem and implement
specific statistical measures

87
Q

EEG is a … technique to …

A

Great technique to
study fast cognitive
dynamics, not ideal for
‘where’ questions

88
Q

Rich, complex, and
multidimensional data that
can be analyzed in many ….

A

ways depending on the
research question. Need to
be careful with statistical
testing