Measures electrical activity via electrodes on scalp
Procedure: electrodes to scalp to detect neuronal activity in response to researcher’s stimulus; scan recordings show brainwave patterns
strengths of EEGs
Practical application – used by clinicians as a diagnostic tool = can indicate neurological abnormalities such as epilepsy, tumours, sleep disorders
High temporal resolution than fMRI – accurately detects brain activity at a resolution of a single millisecond = real world usefulness [efficient]
ERPs
Isolates EEG data by studying responses to sensory, cognitive or motor events
Procedure: filters out extraneous brain activity from the original EEG recording
strengths of ERPs
Cheaper than fMRI – enables larger sample sizes = can increase validity of data obtained [high generalisability]
Isolates EEG data – excellent temporal resolution = more specificity to measurement of neural processes
weaknesses of ERPs
Lack of standardisation – difficult to confirm findings = low internal validity therefore cannot be relied upon to study brain
Background noise and extraneous material – must be controlled and eliminated = not easy to achieve therefore
post-mortem
Analyse brain after death
Establishes likely cause of affliction
Compares it with a neurotypical to ascertain the extent of difference
strength of post-mortem
Provides useful information – HM identify areas associated with memory deficits = allow people of similar conditions to diagnose and get treatment and resources earlier to help them
weaknesses of post-mortem
Not a neuroimaging technique – cannot investigate brain’s activeness in specific tasks = assumptions are more likely to be made
Post death changes – neural structure could be due to processes after death = incorrect causation and effect connections being made
Ethics – informed consent must be given prior to death from the P whose brain it belongs to = undermines integrity of psychological research which may prevent others from wanting to be involved in such research therefore limiting sample sizes
temporal resolution
how quickly scanner detects changes in brain activity