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Define
Localisation of function is a concept in neuroscience that refers to the idea that different regions of the brain are responsible for specific cognitive and behavioural functions.
Explain: Key Processes
This theory suggests that different areas of the brain are specialised for different tasks, such as vision, hearing, language, movement, and emotion.
There are different types of localisation, including strict, weak, and relative localisation.
Weak localisation refers to the idea that different brain regions contribute to different aspects of a function rather than a single function being entirely confined to one region.
Explain: How it Works
The human brain is the central organ of the nervous system, consisting of the cerebrum, cerebellum, and brainstem.
It controls and coordinates all bodily functions, including movement, sensation, thought, memory, and emotion.
Damage to specific regions of the brain can lead to deficits in the corresponding function.
Explain: Theoretical Support
The concept was first proposed by Paul Broca and Carl Wernicke in the 19th century, who observed that damage to specific regions of the brain resulted in language and speech deficits.
Further research has confirmed that different regions of the brain are indeed specialised for different functions.
Link
Localisation of function is essential for understanding how the brain supports cognitive and behavioural processes.
The transition from invasive methods (e.g., post-mortem examinations) to non-invasive neuroimaging techniques has made the study of brain function much safer and more effective.
Overview
Localisation of function is essential for understanding how the brain supports cognitive and behavioural processes.
The transition from invasive methods (e.g., post-mortem examinations) to non-invasive neuroimaging techniques has made the study of brain function much safer and more effective.
Aim
To determine the potential role of biological factors on flashbulb memories
Method
Quasi Experiment
Design
Independent Measures
Sampling Strategy
Purposive (24 participants)
IV
Downtown or Midtown Manhattan
DV
Activation of the amygdala
Procedure 1
participants placed in an fMRI
Words placed on screen
Summer or September along with words
Procedure 2: Rate
After recall, participants were asked to rate memories:
Vividness
Confidence in accuracy
Arousal
Detail
Procedure 3
Participants were also asked to write down personal memories
Control
Summer recall was used as a baseline
Findings 1: FBM
Only half of the participants actually reported having ‘flashbulb memories’
Findings 2: Proximity
Those who reported flashbulb memories also reported they were closer to the attacks.
Also included more specific details in their written memories
Findings 3: DT or MT
Downtown = higher activation of the amygdala when attack recalled than when summer recalled
Midtown = similar activation of the amygdala when recalling both events
Conclusion 1
Strength of amygdala activation shown to correlate with flashbulb memories
Close personal experience = critical in engaging neural mechanism that produce flashbulb memories
Evaluation: (strengths)
Demand characteristics are not possible = increased internal validity
Evaluation: (weaknesses)
Correlational = no cause and effect
high artificial environment = low ecological validity
Small sample size and culturally biased = research shows individualistic cultures are more likely to have flashbulb memories than collectivistic = hard to generalize
For a ERQ about localisation, which study should be used with Sharot el al. (2007)
Maguire et al.
Maguire et al. year
2000
Aim
To investigate whether the brains of London taxi drivers would be somehow different due to their deep city knowledge and extensive driving hours in London
Method
Natural Experiment
Design
Independent Measures
Single Blind
Sampling Strategy
Purposive; 16 right-handed London taxi drivers/50 right-handed males who did not drive taxis.
Selection Criteria
Completed the ‘knowledge’ test
Had their license for a least 1.5 years
IV
Whether they were a London taxi driver or not
DV
Mass and Distribution of Grey Matter in the Hippocampus
Procedure: 1
Data from MRI measured using two different techniques:
VBM - to measure density of GM
Pixel counting - counting pixels to measures area
Findings: Pixel Counting
Pixel counting = posterior hippocampi taxi - significantly larger
anterior hippocampi significantly smaller
Findings: VBM
Volume of right posterior hippocampi - correlate with time spent as taxi driver
Findings: 3
No differences observed in other parts of the brain
Conclusion
Maguire argues: demonstrates hippocampus may change in response to environmental demands
Conclusion: 2 - anterior posterior
Posterior Hippocampus - involved when previously learn spatial info used
Anterior hippocampus - encoding new environmental layouts
Evaluation: Methodological Strengths
Ethically sound - MRI no health risks
Coded brains scans= blind analysis - avoiding researcher bias
Evaluation: Methodological Weaknesses
Quasi-experiment - no cause-and-effect