Techniques for investigating the brain are often used for medical purposes in the diagnoses of illness.
The purpose of scanning in psychological research is often to investigate localisation - determine what parts of the brain do what.
Functional Magnetic Resonance Imaging (fMRI):
A method used to measure brain activity while a person is performing a task.
Detects radio waves from changing magnetic fields.
This enables researchers to detect which regions of the brain are rich in oxygen and active.
Functional Magnetic Resonance Imaging (fMRI):
Detects changes in blood oxygenation and flow that occur as a result of neural activity in specific parts of the brain.
When a brain areas is more active it consumes more oxygen and to meet this increased demand, blood flow is directed to the active area (haemodynamic response).
Functional Magnetic Resonance Imaging (fMRI):
Strengths
Unlike other scanning techniques, it doesn’t rely on radiation.
If use correctly, it is risk free, non-invasive and straightforward to use.
Produces images of very high spatial resolution, depicting detail by the millimetre, providing a clear picture of how brain activity is localised.
Can safely provide a clear picture of brain activity.
Functional Magnetic Resonance Imaging (fMRI):
Limitations:
Expensive to use.
Has poor temporal resolution because there is around a 5-second time-lag behind the image on screen and the initial firing of neuronal activity.
May not truly represent moment-to-moment brain activity.
Electroencephalogram (EEG):
A record of the tiny electrical impulses produced by the brains activity.
Measuring the characteristic wave patterns, the EEG can help diagnose certain conditions of the brain.
Electroencephalogram (EEG):
Measures electrical activity within the brain via electrodes that are fixed to an individuals scalp using a skull cap.
The scan recording represents the brainwave patterns that are generated from the action of thousands of neurons, providing an overall account of brain activity.
Electroencephalogram (EEG):
EEG is often used by clinicians as a diagnostic tool as unusual arrhythmic patterns of activity may indicate neurological abnormalities such as epilepsy, tumours and some sleep disorders.
Electroencephalogram (EEG):
Strengths
Useful for studying the stages of sleep and in the diagnosis of conditions such as epilepsy, a disorder characterised by random bursts of activity in the brain that can easily be detected on screen.
Has high temporal resolution.
Can accurately detect brain activity at a resolution of a single millisecond. Shows real-world usefulness of the technique.
Functional Magnetic Resonance Imaging (fMRI):
Produces three-dimensional images (activation maps) showing which parts of the brain are involved in a particular mental process and this has important implications for our understanding of localisation of function.
Electroencephalogram (EEG):
Limitations
Generalised nature of the information received.
The EEG signal is also not useful for pinpointing the exact source of neural activity.
Does not allow researchers to distinguish between activities originating in different but adjacent locations.
Event-Related Potentials (ERPs):
The electrophysiological response of the brain to a specific sensory, cognitive or motor event can be isolated through statistical analysis of EEG data.
Event-Related Potentials (ERPs):
Has many scientific and clinical applications but in its raw form it is a crude and overall general measure of brain activity.
Within data, are all the neural responses associated with specific sensory and cognitive and motor events that may be of interest to cognitive neuroscientists.
Event-Related Potentials (ERPs):
Researchers have developed a way of teasing out and isolating these responses using a statistical averaging technique, all extraneous brain activity from the original EEG recording is filtered out leaving only those responses that relate to a specific stimulus or performance of a specific task.
What remains are event-related potentials - types of brainwave that are triggered by particular events e.g attention and perception.
Event-Related Potentials (ERPs):
Strengths
More specific for the measurement of neural processes that could ever be achieved by raw EEG data.
Excellent temporal resolution.
Frequently used to measure cognitive functions and deficits such as the allocation of attentional resources and the maintenance of working memory.
Event-Related Potentials (ERPs):
Limitations
Lack of standardisation in ERP methodology between different research studies which makes it difficult to confirm findings.
In order to get pure data, background noise and extraneous material must be eliminated completely which is hard to control and cannot always happen.
Post-Mortem Examinations:
The brain is analysed after death to determine whether certain observed behaviours during the person’s lifetime can be linked to structural abnormalities in the brain.
Post-Mortem Examinations:
The person being analysed would have usually had a rare disorder and have experienced unusual deficits in cognitive processes or behaviour during their lifetime.
Areas of damage within the brain are examined after death as a means of establishing the likely cause of the affliction the person experienced.
Can also include a comparison with a neurotypical brain in order to ascertain the extent of the difference.
Post-Mortem Examinations:
Strengths
Broca and Wernicke relied on them to establish links between language, brain and behaviour before neuroimaging was available.
Vital for providing a foundations for early understanding of key aspects of the brain.
Provides useful information - studied HM’s case - identified areas of damage.
Post-Mortem Examinations:
Limitations
Correlation v causation.
Damage may be due to other unrelated trauma or decay.
Ethical issues - need consent from the person before death or a family member.