Introduction to EEG Flashcards

1
Q

Who invented the EEG? Which type of wave was first recorded and when?

A

Hans Berger. Alpha waves were first recorded in 1929

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is usually the measuremement of EEG signals? Do they need amplification?

A

πœ‡V range usually, they need to be amplified

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the orientation of pyramidal neurons relative to the cortex surface and to each other?

A

Pyramidal neurons in the 5th and 6th layer are parallel to each other and perpendicular to the cortex surface

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the orientation of the dipole crated by Post Synatic Potential in apical dendrites?

A

Towards the soma of the cell

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

WHat does then the EEG measure current wise?

A

Modulation in EXTERNAL (to the neuron) currents. Are there specific types of neurons that are more responsible for it?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How do these cells need to be oriented and usually which type are they?

A

They need to be close and parallel and firing in synchrony. (I think also cells in deep sulci are more difficult to record with accuracy).
Exactly, cells in gyri are more strongly recorded

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What happens when there is excitatory input to layer 5 and 6 pyramidal cells soma? WHich cells usually cause it?

A

There are positive EEG deflections, (usually it is input from thalamic cells??)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What happens when there is excitatory input to layer 5 and 6 pyramidal cells apical dendrites? WHich cells usually cause it?

A

Negative EEG deflections, (usually caused by input from contralateral cortex via corpus callosum??)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

How does synchrony affect the amplitude of the EEG signal?

A

More sinchrony –> Bigger amplitude of signal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

10-20 system, why is it adopted? What are nasion and pinion?

A

To have a universal standard across different subjects and labs, nasion and inion are reference points for placement of electrodes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

In which areas is the scalp divided in the 10-20 system?

A

Brain lobes: Frontal, Parietal, Temporal, Occipital.
Further anatomical landmark: Central sulcus

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What are possible causes of artfacts in EEG?

A

Ocular causes: blink, saccades,
Muscle artifacts: Muscle twitching, clenching of teeth, talking, heartbeat
Sweat artifacts: slow drift

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What does a low pass filter remove?
What about a high pass?

A

A low pass filter (40Hz) removes EMG activity
A high pass filter (0.01 Hz) removes slow drifts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are the differences between spontaneous oscillation and event related potentials?

A

Spontaneous oscillation: They are rythm of the brain, they vary between types of states in the brain, defined by frequency bands.
ERP: Time locked to a specific outside event.
Short duration (100-700 ms). Modulated by many factors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Are ERP tied to external or internal events?

A

Both

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

How is the signal to noise ratio in EEG? Is it just due to artifacts?

A

Bad, no it is due to the fact that usually ERP are investigated but the brain is producing lots of background activity which is just noise for the purpose of the research.

17
Q

What is the most common approach to separate noise from signal of ERP related activity?

A

Doing lots of trial and averaging across them afterwards.

18
Q

Mathematical modeling of EEG, how are the two components (ERP and noise) mathematically modelled?

A

ERP p(t) is assumed to be constant in each trial while noise, β€œresidual” is iid 𝒩 (0, 𝜎2
π‘Ÿ) distributed.
Let us assume the ERP 𝑝(𝑑) is constant in each trial π‘˜ (π‘˜ = 1, . . . , 𝐾),
while the β€˜residual’ π‘Ÿπ‘˜(𝑑) is iid 𝒩 (0, 𝜎2
π‘Ÿ
) distributed:
π‘₯π‘˜(𝑑) = 𝑝(𝑑) + π‘Ÿπ‘˜(𝑑) for π‘˜ = 1, . . . , 𝐾
Then averaging across trials lead to
signal being speared from sommatoria e media del rumore (?) The amplitude of the noise goes down by a factor of √𝐾 in an
average across 𝐾 trials.

19
Q

What does P and N stand for when characterizing ERP? e.g (P300, N170..)

A

Positive or negative polarity of the deflection (check what it specifically means in this context)

20
Q

Function releated names for ERP, e.g. LRP,Pe,Ne

A

Lateralized Readiness Potential,
Positive Deflection related to erroneous decisions
Negative Deflection related to erroneous decisions

21
Q

What are the characteristics of early components?

A

Usually endogenous, arising soon after stimulus, can be used to test normal connectivity of sensory pathways, can be modulated by mood or attention, reward etc.

22
Q

What are the characteristics of later components?

A

reflect internal, higher-order processing
not strongly dependent of physical stimulus properties
influenced by task, strategy, emotional processing, etc

23
Q

Early components, P1

A

Occipitally located, peaks 100 ms after visual stimulus. Attention allocation amplifies the stimulus

24
Q

Late components, P3

A

β–Ά Typically observed in the oddball paradigm
β–Ά Infrequent target (T) stimuli are randomly presented in a background
of frequent standard (S) stimuli
β–Ά Subjects are instructed to respond mentally or physically to the
targets, and not respond otherwise

25
Q

How is the power spectrum of EEG? Which frequency bands do not follow the rule?

A

The power spectrum of EEG typically follows the 1/𝑓 law
β–Ά However, there exist certain β€œbrain rhythms”, which are characterized
by slightly higher power in particular frequency bands, brain frequencies, gamma beta alpha theta delta