Electroencephalography Flashcards
Define EEG (Electroencephalography) (4)
Electro = electrical
Encephelo = brain
Graphy = writing
- non-invasive measure of brain activity
- array of surface electrodes on the scalp
- record potential differences (micro-volts)
- electrical activity of brain provides a unique insight how the brain reacts to external stimuli
pros of EEG (5)
Completely safe and painless procedure
Useful tool in the discipline of cognitive psychology
Reveals changes in brain state associated with differing levels of arousal or under different experimental conditions
Excellent temporal resolution
Reveals chronology of mental processes.
EEG psychological research is based on measuring the (2)
Much psychological research is based on measuring the speed and accuracy of participants’ responses (i.e. reaction time tests).
EEG can show what happens in the brain before, during and after a response button is pressed.
EEG and showing the brain’s consciousness
The brain is always active, whether awake or sleeping… or even while under anesthesia…
purpose of EEG (2)
brain cells communicate by passing electrical impulses back and forth.
The purpose of EEG is to measure the electrical activity resulting from the interactions between neurons
EEG Electrodes (3)
key to measuring these electrical charges
flat, metal discs which are attached to the scalp
EEG caps have multiple electrodes
So how many electrodes should your EEG cap have? (2)
- EEG caps with 10-20 electrodes should be adequate for most academic needs
- also available with 32, 64, 128 electrodes for more advanced imaging studies.
Additional features of a EEG cap (3)
Systems available with 4, 10 or 24 channels.
These include an additional ECG (heart activity), EMG (muscle activity) or EOG (eye movement) channel.
The number of electrodes an EEG cap has will strongly influence the price… as does sampling rate of system
EEG: What about electrode placement/ fitting? (3)
The cap must allow electrodes to be positioned precisely… placed according to international standards.
Make sure to choose an EEG cap that is sized accurately.
EEG headsets should come with a variety of sizing options and be easily adjusted.
EEG: What about the amplifier? (4)
Signal quality is of vital importance when it comes to EEG.
- The initial EEG signal is comprised of low frequency fluctuations which need to be amplified.
As a result, the amplifier is often the most expensive and defining feature of an EEG headset.
- If there is one thing to check, make sure it’s that the amplifier is of the highest quality.
EEG: Should I use wet or dry electrodes? (3)
“Wet electrodes” use a conductive gel to improve signal quality
“Dry Electrodes” do not require such gel.
The gel used can be sticky and unpleasant for participants. For this reason many of those wishing to use EEG for market research purposes opt for dry electrodes in order to improve participation and compliance. This is understandable; the last thing you want is the participant having a negative experience!
Comparing wet vs. dry electrodes: (2)
Although many modern dry electrodes provide excellent signal quality, wet electrodes provide better contact between electrode and scalp, improving data quality.
An excellent compromise comes in the form of headsets that use cleaner and more comfortable saline based wet sensors. These provide both comfort and quality. Newer, cleaner electrode creams are also available.
EEG: Wired vs Wireless? (3)
In order for EEG technology to become more user-friendly, many EEG systems have moved from the bulky systems used in clinical settings to sleek, convenient wireless systems.
This is allowing them to be used in a range of new settings.
If your research question requires simulation of a real-world scenario, or you wish to use EEG with virtual reality software, then a wireless system is the way to go.
Wireless EEG issues (3)
Wireless EEG has however experienced some issues when it comes to “electrical noise”.
This is due to many factors including interference from other hardware, movement from participants and inappropriate experimental conditions.
when good transmission quality is used for wireless data, there is little to no effect on signal quality.
Additional features of wireless EEG (2)
Some wireless headsets provide a transmission range of 10 meters.
iMotions’ EEG software takes EEG measurement up a notch. It allows researchers to combine EEG data with a range of other biosensors including eye tracking, ECG, respiration and surveys. This is an important feature as it opens the door to a range of novel research questions.
Why is it useful to combine the eye tracking with EEG?
Example: when combined with eye tracking we have the means to understand where the person is looking when demonstrating a particular brain response. This gives us an incredible insight into their reaction to the stimulus provided – something which could not be achieved with EEG alone.
Configuration/ scalp distances in positioning EEG (7)
Various electrode types exist
10-20 configuration is common
On the scalp, distances between two electrodes are given as 10% and 20% of the distance between specified points.
Nasion and Inion are the two reference points, as well as near the ear lobes
the distance between nasion and inion are divided into 5 points
placed at a distance of 10%, 20%, 20%, 20%, 20% and 10% of this length.
nasion – inion distance is measured along the temporal lobes and five electrode are placed as two in frontal, 2 in temporal and 1 in occipital lobes respectively.
remaining six electrodes are fixed as 2 in frontal, 2 in central and 2 in parietal (19 electrodes total) + one reference electrode (placed at the ear lobe)
Event-Related Potentials (ERP)
Brain-wave activity timelocked to an event… typically higher cognitive functions
- Example: Brain-wave activity differs whether you recognize something as a target or not (classification)
P-300 Wave?
Between 200
and 500 msec
How do we get a clear signal when reading EEG signals
Noise vs. signal (SNR)
ERP’s are obtained after averaging EEG signals obtained over multiple trials (trials are aligned by stimulus onset).
Event-related potentials (ERPs) Steps to measure (4)
- There is continuous and ongoing EEG activity as well as random noise completely unrelated to the onset of a stimulus continually occurring.
- This is your “default activity“ (your ongoing thoughts and mental states). When you present a stimulus, you trigger stimulus-related EEG activity.
- To uncover the stimulus-related EEG data, stimulus is shown several times - 50 times or more
- 50 trials of data time- locked to stimulus-onset
- Each trial is a time-course of data at each electrode
- exclusion of trials with artifacts (e.g. blinking)
remaining trials are averaged creating average time-course of EEG data
only the stimulus-related EEG activity survives while noise is attenuated (the more repetitions you complete, the cleaner the event-related EEG data will be) - remaining average EEG waveform is the event-related potential, which reflects the average stimulus-related EEG activity as triggered by a specific stimulus.
EEG: What are we measuring?
primarily synchronized activity of pyramidal neurons
found in all cortical areas
they are always oriented perpendicular to the cortical surface
cell bodies heading away from the surface, dendrites heading towards the surface
What do neurons need to do to be detected by EEG electrodes?
Many neurons need to sum their activity in order to be detected by EEG electrodes. The timing of their activity is crucial. Synchronized neural activity produces larger signals.
EEG: What are we measuring? Orientation
orientation of the cells generates an electrical field with a very stable orientation
- cells in deeper brain structures don’t have specific orientation
the electrical fields are more likely to spread into various directions and cancel out instead of projecting towards the scalp surface
electrical signals are very small
sent to an amplifier and digitized
can be displayed as a time series of voltage values or averaged
EEG: Measurement with many neurons firing
postsynaptic potential of a single neuron is too small to be detected
If hundreds of thousands of similarly oriented neurons fire in synchrony, they sum up and generate an electric field, which is rapidly propagated throughout brain tissue and skull
can be measured from the scalp.
neural oscillations are even visible in raw, unprocessed data
But… the signal is a mixture of several underlying base frequencies