EEG Flashcards
What is EEG
Detecting neural activity by placing electrodes on the scalp
These electrodes pick up small fluctuations of electrical signals, originating from activity of (mostly cortical) neurons
Can also record intra-cranial EEG at the exposed cortex
What is alpha rhythm
When people closed their eyes, the electrical signal was not constant, but it varied with a characteristic frequency of 8-13 Hz
Pros and cons about EEG
The temporal resolution is great
But the spatial resolution is not so good:
EEG is biased to signals generated in superficial layers of cerebral cortex on the gyri (ridges) directly bordering the skull
Signals in the sulci are harder to detect than from gyri, and may additionally be masked by the signals from the gyri
The meninges, cerebrospinal fluid (CSF) and skull “smear” the EEG signal, making it difficult to localise the source
This is known as the inverse problem
What neural activity does EEG record
The EEG activity does not reflect action potentials but originates mostly from post-synaptic potentials – voltages that arise when neurotransmitters bind to receptors on the membrane of the post-synaptic cell
This causes ion channels to open or close, leading to graded changes in the potential across the membrane
This pooled activity from groups of similarly oriented neurons mostly comes from large cortical pyramid cells
What determines the sign of the recorded potential
The orientation of the neurons determines the sign of the recorded potential; Some orientations lead to signals which cannot be recorded
If many neurons spatially align, then their summed potentials add up and can be recorded
How does analyzing EEG data generally work
EEG signals measured from the scalp in relation to a reference electrode
The reference should be a neutral point (e.g., tip of the nose, mastoids (behind the ear) as the baseline), but some reference to the average of all scalp electrodes
Need to be amplified
Then digitalized
Signal is band-pass filtered to remove the low and high frequencies
Signal is also notch-filtered to remove line noise
The EEG is the sum of signals originating from many neural units
What are the Artefacts in EEG
The artefacts that are not brain signals
Eyeblink artefacts; muscle artefact; skin potential artefact
Signals originating from the eye will contaminate the signal of interest – be much larger
Placing electrodes next to and under the eye to capture horizontal and vertical eye movements
Excluding these contaminated trials, or mathematical algorithms (ICA)
How to analyse Event-related potentials (ERPs)
Find the brain activity that is reliably related to cognitive processes of interest
For this, the single-trial EEG is too noisy
There are variance between sessions from the same participants and between participants
There are different aspects of the ERP component of interest that can be analysed:
Peak-amplitude (used in 70% of studies)
Area-under-the-curve (used in 20%)
Peak-to-peak (used in 10%)
Eetermine the onset of a component (tricky)
There is no clear rule, and results might differ between measures
Reason for using ERPs to investigate cognition
Many components are very well studied – hence, finding that a specific component is modulated by the experimental task might shed light on what cognitive process is involved
ERPs require a lot of knowledge about the various components (careful: reverse inference)
Research in ERP and ERN
Woodman and Luck (1999)
Investigated whether people searched in parallel or serial based on N2pc (attention)
Gehring et al. (1993): Whether there is mechanism for thedetection andcompensation for errors