L10 - Ways Of Studying The Brain Flashcards
4 ways of studying the brain
FMRI
EEG
ERP
Post mortems
What does FMRI stand for
Functional magnetic resonance imaging
What does EEG stand for
Electroencephalogram
What does ERP stand for
Event related potential
FMRI
- The principle behind it is that neurons most active during a given task will be using more energy & needs glucose and oxygen carried in the bloodstream so the blood flow to active areas of the brain should increase over control levels.
- fMRI scans indirectly measures blood flow through the concentration of oxygen in the blood stream
- Therefore the signal used in fMRI is called the BOLD contrast (Blood Oxygen Level Dependent)
E.g. a participant might be asked to alternate between periods of doing tasks (e.g. looking at a stimulus for 30 seconds, then closing their eyes for 30 seconds – the fMRI can then be used to identify which parts of the brain are active during each task.
FMRI application
- One innovative and recently emerging application of fMRI has been in lie detection. Supporters of fMRI prefer this method (i.e. checking the blood flow in the brain) as opposed to the normal lie detection method such as pulse reading, skin temperature and respiration. Supporters argue it is hard to fake blood flow!
- fMRI scans are important in understanding more about brain localisation
Evaluation of FMRI
strengths
- non-invasive
- spatial resolution
weaknesses
- temporal resolution
- causation
- individual neurons
Non-invasive
- Unlike scanning techniques like PET, fMRI’s do not rely on the use of radiation.
- fMRIs are non-invasive- the participant is required only to remain still and quiet in the scanner. It is therefore virtually risk free.
- Consequently, this should allow more patients/participants to undertake fMRI scans which could help psychologists to gather further data on the functioning human brain and therefore develop our understanding of localisation of function.
Spatial resolution (FMRI)
- fMRI scans have good spatial resolution. Spatial resolution refers to the smallest feature (or measurement) that a scanner can detect, and is an important feature of brain scanning techniques.
- Greater spatial resolution allows psychologists to discriminate between different brain regions with greater accuracy.
- fMRI scans have a spatial resolution of approximately 1-2 mm which is significantly greater than the other techniques (EEG, ERP, etc.)
- Consequently, psychologists can determine the activity of different brain regions with greater accuracy when using fMRI, in comparison to when using EEG and/or ERP.
Causation (FMRI)
- fMRI scans do not provide a direct measure of neural activity.
- fMRI scans simply measure changes in blood flow and therefore it is impossible to infer causation (at a neural level).
- While any change in blood flow may indicate activity within a certain brain area, psychologists are unable to conclude whether this brain region is associated with a particular function.
- In addition, some psychologists argue that fMRI scans can only show localisation of function within a particular area of the brain, but are limited in showing the communication that takes place among the different areas of the brain, which might be critical to neural functioning.
Temporal resolution (FMRI)
- fMRI scans have poor temporal resolution.
- Temporal resolution refers to the accuracy of the scanner in relation of time: or how quickly the scanner can detect changes in brain activity. fMRI scans have a temporal resolution of 1- 4 seconds which is worse than other techniques (e.g. EEG/ERP which have a temporal resolution of 1-10 milliseconds).
- Consequently, psychologists are unable to predict with a high degree of accuracy the onset of brain activity.
Individual neurons (FMRI)
- fMRI’s only provides information on what brain area is active during different cognitive tasks- it cannot home in on the activity of individual neurones. It therefore does not provide a complete picture of brain activity which means that it is limited in the amount of information it provides.
EEG
- The EEG provides an overall view of brain electrical activity and was developed by Hans Berger in 1929.
- A large number of small recording electrodes (24/32) are distributed over the surface of the skull which picks up the electrical activity of many millions of neurons. The EEG has some basic properties that can be used to characterise particular brain states through:
• Amplitude: the size or intensity of the electrical activity
• Frequency: the speed or rapidity of the electrical activity
Also, there are two distinctive states of the EEG:
• Synchronised pattern: this is where a recognizable waveform can be identified in the EEG recording
• Desynchronised pattern: this is where there is no recognizable waveform
EEG application
EEG data can be used to detect various types of brain disorder (such as epilepsy) or to diagnose other disorders that influence brain disease (such as Alzheimer’s). For example, EEG readings of patients with epilepsy show spikes of electrical activity. EEG patterns in patients with brain disease and brain injury show overall slowing of electrical activity.
The EEG is also particularly useful for identifying the general state of the brain. It has been used extensively to study sleep and the different stages of sleep.
EEG wave types
- alpha - awake, normal alert consciousness
- beta - relaxed, calm, meditation, creative visualisation
- theta - deep relaxation & meditation, problem solving
- delta - deep, dreamless sleep