EEG scanners measure electrical activity through electrodes accatched to the scalp
information is processed in the brain as electrical activity in the form of action potentials or nerve impulses
small electrical charges are detected by the electrodes and graphed over a period of time, indicating the level of activity. There are four types of EEG patterns- alpha, beta, theta and delta waves
spatial resolution- fMRI images are thought to be accurate within 1-2 mm
amplitude- the intensity or size of the activity
frequency- the speed or quantity of activity
EEG patterns produce two distinctive states- synchronised and desynchronised patterns
synchronised- recognisable wave form
desynchronised- no wave pattern
alpha waves are associated with light sleep
theta/delta waves are associated with deeper sleep
EEG can also be used to detect illnesses like epilepsy and sleep disorders, and to diagnose other disorders that affect brain activity, like Alzheimer's disease
amplitude with waves- how much the waves go up and down, and frequency- how close together each wave is to the next
positive- has been historically important in understanding brain activity in areas such as sleep research and medical diagnosis
Another benefit of EEGs is that they are a cheaper alternative to methods such as an FMRI and we are able to use EEGs with experiments involving movement
very good temporal accuracy, measuring brain activation with a resolution measured in milliseconds