HC2 EEG: Physiological basis and recording techniques I Flashcards

1
Q

Why use electroencephalogram (EEG)?

A
  • Reaction time is the final outcome of sensory, decision and motor processes
  • EEG can track the time course of these stages with millisecond precision
  • EEG can inform us about cognitive processes when there is no behavioral response
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2
Q

What is measured by EEG?

A
  • Post synaptic potentials at apical dendritic trees of pyramidal cells
  • For brain electrical activity to be detectable through skull, must be strong signal summed over many neurons
  • Pyramidal Cells in the cortex have the right properties
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3
Q

Post synaptic potentials at apical dendritic trees of pyramidal cells

A

o Action potentials can not be added up so not useful for EEG
o Post synaptic potentials can be added up so useful for EEG.

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4
Q

For brain electrical activity to be detectable through skull,
must be strong signal summed over many neurons

A

o All behaving similarly at same time
o All oriented in same way
▪ This way the potentials can be added up without canceling each other out
▪ The sum is 0 in the amygdala because of the dendritic architecture that causes the PSPs to cancel each other out.
o So negative and positive don’t cancel each other out when summed

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5
Q

Electromagnetic field

A

Is a physical field produced by electrically charged objects (e.g., a piece of brain tissue)
- It has properties of both electricity and magnetism
- Electric and magnetic field are oriented perpendicular

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6
Q

How is EEG measured?

A
  • Voltage difference between two electrodes
    o One electrode on the scalp
    o Other non-cortical (reference) electrode (e.g. earlobes)
    o Compare voltage from electrode at the brain to neutral voltage of reference electrodes (at place with no brain)
  • Result in rhythmic fluctuations in voltage
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7
Q

Reference and ground electrode locations

A
  • These electrodes pick up noise from monitors and lights
    o Ground electrodes necessary for keeping (a lot of) the noise from the outside from the EEG signal
  • Mastoid is the thickest point of skull, this makes it a good reference point
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8
Q

Electrode placement - the international 10-20 system

A
  • Odd to the left, even to the right
  • The higher the number, the more lateral placed (more towards the ears)
  • Regions:
    o FP= prefrontal region
    o F= frontal region
    o P= parietal region
    o O= occipital region
    o T = temporal region
    o C= central region (NOT an brain region)
  • A1 and A2 are the electrodes at the mastoids
  • Cz is the central electrode, located at the vertex
  • Two lines used for the placement
    o A line connecting the nasion to the inion
    o A line connecting both preauricular to each other
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9
Q

Electrooculography (EOG)

A

Eye movements mess up the EEG therefore EOG necessary to “clean up” the EEG afterwards
- Large vertical lines in EEG indicates blinking
o Eyes can be seen as high voltage batteries while the brain is a low voltage battery
- Both horizontal as vertical movements can be seen in EEG

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10
Q

EOG - electrode locations

A
  • Left of left eye (checks for vertical movement)
  • Right of right eye (checks for vertical movement)
  • Above the eye (checks for horizontal movement)
  • Underneath the eye (checks for horizontal movement)
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11
Q

How electrodes work

A
  • A scalp electrode picks up electric signal from the brain. Contact point is often silver chloride (AgCl)
  • Signals have to travel through the skull and scalp = high resistance: lower the resistance (impedance) with conductive gel
  • A ground electrode reduces electrical environmental noise.
  • A reference electrode provides a biological baseline.
  • EOG (eyes), ECG (heart), and EMG (muscle) electrodes are attached to monitor the artifacts.
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12
Q

Experimental EEG set up - you need..

A

o Brain with sensors (electrodes) on it
▪ The signal (voltage difference) is picked up at the electrodes attached to the scalp…..
o Converter
▪ …… Augmented by an amplifier and digitized by an analogue/digital (A/D) converter…..
▪ Amplifier increase the amplitude of the EEG signal
o Computer
▪ ……. Stored, displayed and analyzed on a computer

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13
Q

Analogue to digital (AD) conversion

A

Analogue EEG signal (micro volts) is digitized (numbers) to have time series that represent the voltage values

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14
Q

Sampling frequency

A

The rate of digitization in Hertz (Hz)
o Typical to use a sample frequency of 512 Hz

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15
Q

Sample rate of 500 Hz:

A

500 x per second = each 2 ms, take one sample (per electrode)

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16
Q

Nyquist-Shannon sampling theorem:

A

: Sample rate should be at least 2x the fastest frequencies in the signal
o If highest frequency of EEG is 100 –> use a frequency of at least 200

17
Q

AD level

A

o Amount of information in each sample
o Bit depth → 1 bit = 2^1 (0 1) , 2 bits = 2^2 (00 01 10 11), 3 bits (000 001 010 011 100 101 110 111) etc.

18
Q

Properties of the field signal

A
  • Amplitude
  • Frequency
  • Phase
  • The field activity oscillates in time. Thus, the signal is
    represented as a time wave. The wave can also be represented as a rotation. Properties of oscillation, such as frequency, phase and amplitude, are used to describe and analyze the signals.
19
Q

From EEG to ERP (event-related potentials)

A

ERPs are EEG changes that are time locked to sensory, motor or cognitive events that provide safe and noninvasive approach to study psychophysiological correlates of mental processes

20
Q

Design of ERP experiment: Trigger (Marker)

A
  • Two computers necessary (Stimulation computer + digitalization computer)
  • Stimulation computer sends marker codes/event codes to the digitalization computer.
    o For example, in Stroop task
    ▪ Color name and color congruent → marker code/event code 1
    ▪ Color name and color incongruent → marker code/event code 2
  • The EEG signal (originating from the ground, active and reference electrodes) is send to the converter (filters + amplifiers) and then to the digitalization computer
  • We look at tiny windows of the EEG signal we are interested in: the epoch’s
    o We gather the x’s and o’s and average them → ERP
21
Q

Importance of clean data

A
  • ERPs are tiny
    o Many experimental effects are less than a few millionth of a volt
  • ERPs are embedded in noise that is 20-100 µV
  • Averaging is a key method to reduce noise
    o S/N (signal/noise) ratio is a function of sqrt(# of trials)
    o Doubling # of trials increases S/N ratio by 41% [sqrt(2)=1.41]
    o Quadrupling # of trials doubles S/N ratio [sqrt(4)=2]
22
Q

EEG measures:

A
  • EEG oscillating signal across several electrodes
  • 2 dimensions: time and location
23
Q

Multiple ways to score EEG

A

o Peak analysis
o Topography
o Source analysis
o Time-Frequency
o Etc

24
Q

Topography ≠ Neural source

A

Auditory N1 fronto-central peak but generated mainly in the auditory cortex

25
Q

Comparison between EEG and MEG

A
  • The common origin
  • Spatio-temporal resolution is similar
  • MEG: Magnetic field permeates biological tissue, fluid, and air.
    o Therefore: less distortion and smearing out of the signal
    o MEG is better for localization of neural sources
    ▪ Peak in auditory cortex found, not in Auditory N1
    (as in EEG)
    o MEG costs more than EEG
  • Butterfly plots: all sensor signals placed over each other
26
Q

Examples of Event-Related Potentials

A
  • Mismatch Negativity (MMN)
    o MMN is evoked automatically by a change in a sequence of sounds
  • ERP components related to language
27
Q

ERP component related to language

A

o N400 = ERP “component” related to meaning
▪ Bigger when word’s meaning doesn’t fit context
▪ Bigger for unfamiliar words
▪ May reflect amount of work required to integrate with context
o P600 = ERP “component” related to form
▪ Bigger when word not of expected type for a position in a sentence
▪ May be a type of P300 - Sometimes called Syntactic Positive Shift (SPS)
o N400 and P600 can be evoked both at once