Brain plasticity | AQA A-Level Psychology Revision
- Revision Notes
- Aug 3
- 20 min read
Updated: Aug 23
For 7182 specification, first teach in September 2025
AQA A-Level Psychology | Free Revision Notes
Estimated study time: 50 minutes
These Brain plasticity A-Level Psychology revision notes explain how the brain changes in response to learning, experience and injury. You will examine how repeated experience may alter brain structure or functioning, consider evidence from brain-imaging research and evaluate the conclusions psychologists can draw. Plasticity challenges the idea that brain organisation is completely fixed. It also provides the foundation for understanding how abilities may return after brain injury. AQA includes plasticity and functional recovery as required Biopsychology content.
Learning Objectives 🎯
By the end of this revision page, you should be able to:
Define brain plasticity.
Distinguish structural and functional changes in the brain.
Explain how learning and experience may alter the brain.
Explain how damage may lead to neural reorganisation.
Apply plasticity to unfamiliar situations.
Evaluate evidence relating to brain plasticity.
Revision Notes 📚
Brain plasticity A-Level Psychology revision overview
Brain plasticity, also called neuroplasticity, is the brain’s ability to change and adapt as a result of experience, learning or damage.
The brain is not a completely fixed structure.
It may change through:
The formation or strengthening of neural connections.
The weakening of connections that are used less often.
Changes in the amount or organisation of brain tissue.
Changes in which brain areas contribute to a function.
Reorganisation following injury.
The basic principle is:
Experience or damage → changes in neural activity → changes in brain organisation or structure
Plasticity may occur during development, but it also continues in adulthood.
The brain is specialised but adaptable
Localisation of function suggests that particular brain areas make specialised contributions to behaviour.
For example:
The motor centre contributes to voluntary movement.
The visual centre processes visual information.
Broca’s area contributes to speech production.
Wernicke’s area contributes to language comprehension.
However, localisation does not mean that the brain can never change.
The brain may have:
A typical organisation under ordinary circumstances.
The ability to reorganise in response to new demands.
The capacity to adapt after part of the system is damaged.
Plasticity therefore complements rather than completely rejects specialisation within the cerebral cortex.
Structural plasticity
Structural plasticity refers to physical changes in the brain.
These may include changes in:
The number or strength of connections between neurons.
The organisation of neural pathways.
The density or volume of tissue in particular brain areas.
The connections between different regions.
Repeated use of a neural pathway may strengthen or reorganise the connections involved.
A skill practised regularly may therefore become associated with measurable structural differences in areas used during that skill.
Functional plasticity
Functional plasticity refers to changes in how the brain performs a function.
For example:
A brain area may become more efficient through practice.
A function may become distributed across a wider network.
An undamaged area may begin contributing to a task previously performed mainly elsewhere.
The balance of activity between the hemispheres may change.
Structural and functional plasticity are related.
A change in the way an area functions may be supported by changes in neural connections or tissue organisation.
Plasticity and neural connections
Neurons communicate through networks.
Learning repeatedly activates particular pathways within these networks.
As a pathway is used:
Connections involved in the task may become stronger.
Communication through the pathway may become more efficient.
New relationships between brain areas may develop.
Less useful connections may weaken.
The biological basis of communication between neurons is introduced through neurotransmitters and synaptic communication.
Plasticity means that the organisation of these pathways can change rather than remaining identical throughout life.
Experience-dependent plasticity
Experience-dependent plasticity occurs when experience alters the structure or functioning of the brain.
Relevant experiences might include:
Learning a new skill.
Repeated physical practice.
Studying.
Navigating a complex environment.
Learning a language.
Using particular sensory or motor abilities extensively.
The brain adapts to the demands placed upon it.
This does not mean that every brief experience produces a large permanent change. The extent of plasticity may depend on factors such as:
The intensity of the experience.
How frequently it is repeated.
How long practice continues.
The person’s age.
Individual biological differences.
Whether the skill continues to be used.
Learning a new skill
When a person begins learning a skill, performance may be:
Slow.
Effortful.
Inaccurate.
Dependent on conscious attention.
With repeated practice:
The relevant neural pathways are repeatedly activated.
Communication may become more efficient.
Brain areas involved in the skill may change.
Performance may become faster or more accurate.
For example, learning a complex physical skill requires coordination between:
Visual processing.
Attention.
Movement.
Sensory feedback.
Memory.
Plasticity may therefore involve changes across a network rather than within one isolated brain centre.
Practice and continued use
The effects of experience may depend on continued use.
If a person repeatedly practises a skill, relevant neural changes may be maintained or strengthened.
If practice stops:
Some changes may remain.
Some may reduce.
Performance may decline.
The brain may adapt to the new level of demand.
Plasticity is therefore dynamic.
It can reflect both:
Increased demands on a neural system.
Reduced use of a previously practised system.
Plasticity and education
Learning academic material also requires changes in the way neural networks process and retain information.
Repeated retrieval, practice and application may strengthen the systems involved in:
Remembering information.
Applying knowledge.
Recognising patterns.
Producing skilled responses.
Plasticity does not mean that learning happens without effort. It helps explain why sustained practice can produce lasting changes in ability.
From a revision perspective, this supports:
Regular retrieval practice.
Repeated application.
Revisiting material over time.
Correcting errors.
Practising under examination conditions.
Plasticity following damage
Brain damage may disrupt an area that previously contributed to a function.
The brain may respond through reorganisation.
This could involve:
Undamaged areas contributing more strongly.
Existing neural pathways being used differently.
New connections developing.
Functions becoming more widely distributed.
Areas in the opposite hemisphere increasing their contribution.
This capacity for change may support the return of an ability or allow the person to develop another way of completing a task.
The detailed mechanisms involved are covered in reorganisation after brain trauma.
Damage does not guarantee recovery
Plasticity creates the possibility of adaptation, but recovery is not automatic or complete.
The outcome may depend on:
The location of the damage.
The extent of the damage.
The person’s age.
The amount of time since the injury.
Access to rehabilitation.
The ability being affected.
Individual differences.
Motivation and continued practice.
Two people with apparently similar injuries may therefore show different levels of recovery.
Plasticity should not be described as the brain simply “healing itself”.
Plasticity and the cerebral hemispheres
Functions may be lateralised to one hemisphere under ordinary circumstances.
For example, language is usually more strongly associated with the left hemisphere.
Following damage, the opposite hemisphere may sometimes make a greater contribution.
This demonstrates that:
Hemispheric specialisation exists.
The degree of specialisation may change.
The two hemispheres form an adaptable system.
Functions are not always permanently tied to one location.
The normal division of processing between the hemispheres is explained through split-brain research and language lateralisation.
Adaptive plasticity
Adaptive plasticity produces a useful change.
Examples might include:
Becoming more efficient at a practised skill.
Learning to process new information.
Developing a different strategy after injury.
Undamaged brain areas supporting a lost function.
Improving performance through rehabilitation.
Adaptive plasticity helps the individual meet environmental demands.
Maladaptive plasticity
Not every neural change is necessarily beneficial.
Maladaptive plasticity occurs when a change contributes to difficulties rather than improvement.
For example:
A reorganised system may produce an unhelpful response.
Repeated patterns of behaviour may strengthen pathways that maintain the problem.
A change following damage may interfere with another ability.
A compensatory strategy may be less effective than the original function.
Plasticity refers to the brain’s ability to change, not to an assurance that every change will improve functioning.
Plasticity across the lifespan
Plasticity occurs throughout life, although the brain’s capacity for particular forms of change may vary with age.
The developing brain is highly adaptable because its neural systems are still being organised.
However, research into adult learning demonstrates that plasticity does not disappear when development ends.
Adults can still show changes following:
Learning.
Repeated practice.
Environmental demands.
Brain injury.
Rehabilitation.
It is therefore inaccurate to describe adult brains as completely fixed.
Evidence from London taxi drivers
Maguire and colleagues compared the brains of licensed London taxi drivers with those of people who did not drive taxis.
Taxi drivers must develop extensive knowledge of routes and landmarks. The researchers found differences in the hippocampi of the taxi drivers, including greater volume in the posterior hippocampus. The amount of time spent working as a taxi driver was positively related to posterior hippocampal volume.
The findings suggest that prolonged demands on spatial navigation may be associated with structural change in the adult brain.
The role of the hippocampus
The hippocampus is a brain structure associated with memory and spatial navigation.
The taxi-driver findings are relevant because the participants had spent years:
Learning routes.
Remembering landmarks.
Planning journeys.
Navigating a complex city.
Updating their spatial knowledge.
Repeated use of these abilities may have altered the brain area involved.
The research therefore supports experience-dependent plasticity.
Evaluating the taxi-driver evidence
A strength of the research is that it used objective brain-imaging data.
Researchers were able to:
Compare measurable brain structures.
Locate differences within the hippocampus.
Examine the relationship between experience and brain structure.
Study naturally occurring expertise.
However, the evidence was correlational.
Taxi-driving experience and hippocampal structure were related, but this does not prove that driving caused the difference.
An alternative explanation is that people with particular hippocampal characteristics were more likely to become successful taxi drivers.
This is a self-selection problem.
Correlation in the taxi-driver study
The positive relationship between time spent driving and posterior hippocampal volume strengthens the experience-based explanation.
A longer period of navigating London was associated with a larger structural difference.
However, a correlation still cannot establish cause and effect.
Possible third variables include:
Age.
Lifestyle.
Other forms of navigation experience.
Occupational demands.
Individual biological differences.
A strong evaluation should recognise both the meaningful relationship and the limitation of correlational evidence.
Evidence from learning to juggle
Draganski and colleagues used brain imaging to investigate adults learning to juggle.
Participants were scanned before and after training. Following practice, the learners showed temporary structural changes in brain areas associated with processing complex visual motion. Some of these changes reduced after practice stopped.
The findings support the view that learning a new skill can produce structural changes in the adult brain and that these changes may respond to continued environmental demand.
Why the juggling evidence is important
The juggling research has several useful features.
Participants were examined:
Before learning the skill.
After a period of training.
After a period without continued practice.
This allowed researchers to observe change over time.
The findings are therefore more convincing evidence of experience-dependent plasticity than a single comparison between naturally occurring groups.
The sequence was:
No juggling experience → training → structural change → reduced practice → some reduction in change
Strength of the longitudinal design
A longitudinal design studies the same participants across time.
This has an important advantage in plasticity research:
Each participant can be compared with their own earlier brain scan.
Pre-existing differences are less likely to explain the change.
Researchers can examine whether changes follow training.
The direction of the relationship becomes clearer.
This strengthens the argument that the new experience contributed to the structural change.
However, it does not remove every possible confounding variable.
Other experiences may also occur between the scans.
Comparing the taxi-driver and juggling evidence
Feature | Taxi-driver research | Juggling research |
Experience studied | Long-term spatial navigation | Learning a new physical skill |
Main comparison | Taxi drivers and non-taxi drivers | Participants before and after training |
Type of design | Mainly cross-sectional and correlational | Longitudinal |
Main contribution | Shows a relationship between expertise and brain structure | Shows structural change following a new experience |
Main limitation | Possible self-selection | Changes during the study may have other causes |
Together, the findings suggest that different forms of repeated experience may be associated with changes in different parts of the adult brain.
Converging evidence
Converging evidence occurs when different investigations support a similar conclusion.
The taxi-driver and juggling studies examined different:
Skills.
Participants.
Brain areas.
Time periods.
Research designs.
Both nevertheless produced evidence consistent with adult brain plasticity.
Agreement across different contexts increases confidence that plasticity is a general property of the brain rather than a feature limited to one particular task.
Brain scans as evidence
Brain scans allow researchers to obtain objective biological measurements.
They can be used to investigate:
Changes in brain structure.
Differences between groups.
Changes following training.
Relationships between experience and particular brain areas.
Brain imaging can therefore provide stronger evidence than relying only on participants’ reports of improved ability.
The broader strengths and limitations of scanning the living brain are considered through functional brain imaging.
Objective does not mean automatically valid
A brain image may appear highly scientific, but the interpretation must still be evaluated.
Researchers must decide:
Which areas should be compared.
How structural differences are measured.
Whether the change is psychologically meaningful.
Which behaviour is connected with the difference.
Whether alternative explanations have been controlled.
A difference on a scan does not interpret itself.
The scientific value depends on the design, measurement and conclusion.
Structural change and functional improvement
A structural difference does not automatically show that performance improved.
For example, an area may change following training, but researchers must also measure:
Whether the person became more skilled.
Whether the improvement lasted.
Whether the structural change predicted performance.
Whether the same result occurred in other participants.
A complete investigation should combine:
Biological measurements.
Behavioural measurements.
An appropriate comparison.
Repeated observations where possible.
Cross-sectional evidence
A cross-sectional study compares different groups at one point in time.
For example, researchers might compare:
Experienced musicians with non-musicians.
Expert navigators with inexperienced navigators.
People who regularly practise a skill with those who do not.
This can identify a relationship between experience and brain structure.
However, the groups may have differed before the experience began.
Cross-sectional findings therefore provide weaker evidence of causation than a study measuring participants before and after training.
Longitudinal evidence
Longitudinal research follows participants across time.
A strong plasticity study might:
Scan participants before training.
Measure their initial skill level.
Provide standardised practice.
Scan them again.
Measure changes in performance.
Compare them with a control group.
Examine whether changes remain after practice stops.
This design provides stronger evidence that experience preceded the brain change.
However, longitudinal research may be:
Time-consuming.
Expensive.
Affected by participant withdrawal.
Influenced by experiences outside the investigation.
The importance of a control group
A control group does not receive the target experience or training.
It helps researchers determine whether the observed brain change was linked specifically with the new experience.
Suppose both the training group and control group show the same change.
The difference may be due to:
Normal development.
Repeated scanning.
Time passing.
Another shared experience.
If only the training group shows the predicted change, the explanation based on experience becomes more convincing.
Individual differences
People may differ in how much plasticity they display.
Relevant differences may include:
Age.
Previous experience.
Initial skill level.
Motivation.
Biological characteristics.
Intensity of practice.
Sleep and general health.
Rehabilitation opportunities.
A mean change across a group does not mean that every participant changed by the same amount.
Researchers should examine variation as well as the group average.
Evidence from damage
Evidence for plasticity also comes from people whose functioning changes after brain damage.
A person may gradually regain an ability or learn to perform it using another strategy.
This suggests that:
The original brain organisation has changed.
Undamaged areas may have increased their contribution.
Neural connections may have reorganised.
Practice may support adaptation.
However, recovery can be difficult to interpret because:
The original damage may not be perfectly measured.
Some abilities may return naturally.
Rehabilitation programmes differ.
People vary in age and health.
Improvements may reflect learning a new strategy rather than restoring the original function.
Recovery and compensation
Two different outcomes should be distinguished.
Recovery
The person regains some or all of the original ability.
Compensation
The person develops another method of completing the task.
For example, someone may use:
A different cognitive strategy.
External prompts.
Another sensory system.
Increased support from an undamaged function.
Both outcomes may involve plasticity, but compensation is not necessarily the same as restoring the original neural process.
Plasticity and rehabilitation
Understanding plasticity has practical applications for rehabilitation.
Programmes may use:
Repeated practice.
Gradually increasing difficulty.
Physical or language exercises.
Feedback.
Training of alternative strategies.
Intensive use of an affected ability.
The principle is that repeated activity may encourage useful neural reorganisation.
However, rehabilitation outcomes vary, and no programme guarantees complete recovery.
Plasticity and the biological approach
Brain plasticity supports a biological explanation because changes in behaviour and ability are associated with changes in the brain.
At the same time, it challenges a simple form of biological determinism.
The brain may be influenced by:
Learning.
Practice.
Occupation.
Environmental demands.
Injury.
Rehabilitation.
Biology affects experience, but experience can also affect biology.
Plasticity therefore illustrates an interaction between biological structures and environmental influences.
Plasticity and nature-nurture interaction
Plasticity demonstrates that nature and nurture are difficult to separate completely.
Neural structures provide the biological capacity for learning.
Environmental experience activates particular systems.
Repeated experience may change neural organisation.
The altered brain then influences future behaviour.
The relationship is therefore two-way:
Brain influences experience → experience changes the brain → changed brain influences later behaviour
Plasticity supports an interactionist rather than a strictly one-sided explanation.
Plasticity challenges a rigid view of localisation
Evidence of localised functions remains important.
Damage to a motor or language area may produce a predictable impairment.
However, plasticity shows that:
Functions may become more widely distributed.
Other regions may increase their involvement.
Neural networks can change with practice.
The effects of damage may alter over time.
The brain is therefore specialised but not completely inflexible.
Plasticity does not disprove localisation
It would be incorrect to claim that plasticity proves all brain areas can perform every function equally.
Plasticity operates within biological limits.
For example:
Some areas are more suited to particular forms of processing.
Reorganisation may be partial.
Recovery may be slow.
Some abilities may not return.
New strategies may be less efficient.
Extensive damage may leave too little intact tissue.
The most balanced conclusion is:
The brain contains specialised areas, but the organisation and contribution of those areas can change.
Positive practical implications
Research into plasticity has encouraging practical implications.
It suggests that:
Learning can continue in adulthood.
Repeated practice may alter neural systems.
Rehabilitation may support improvement after damage.
Early difficulties do not always produce fixed outcomes.
Appropriate environmental stimulation may matter.
These conclusions support continued opportunities for education, training and rehabilitation.
Caution about exaggerated claims
Plasticity is sometimes described as though a person can transform any brain function simply through effort.
This is an exaggeration.
Plasticity does not mean that:
Every ability can be mastered.
All brain damage can be reversed.
Every structural change improves performance.
Motivation alone determines recovery.
Biological limitations are unimportant.
All brains respond identically to training.
A scientifically accurate account recognises both adaptability and constraint.
Evaluating evidence through cause and effect
When evaluating a plasticity study, ask:
Was the experience manipulated?
Were participants measured before the experience?
Was there a control group?
Could participants have differed beforehand?
Did the brain change occur after the training?
Was behaviour measured as well as brain structure?
Could another variable explain the findings?
Research that measures participants before and after controlled training provides stronger causal evidence than a correlation between existing expertise and brain structure.
Evaluating evidence through validity
Validity concerns whether the evidence supports the conclusion being drawn.
A plasticity investigation has stronger validity when:
The skill is clearly measured.
The brain measurement is appropriate.
The control task is suitable.
Alternative explanations are reduced.
Structural change is linked with behavioural change.
The conclusion does not go beyond the findings.
A colourful brain scan does not compensate for a poorly designed investigation.
Evaluating evidence through reliability
Reliability concerns consistency.
Brain-plasticity evidence is more convincing when:
Scanning procedures are standardised.
Measurements are repeated.
Independent researchers identify similar changes.
The effect is found in more than one sample.
Findings are replicated using other tasks or methods.
Failure to replicate a finding may suggest that the original effect was small, sample-specific or dependent on a particular analysis.
Evaluating generalisability
Some plasticity studies use specialised groups, such as:
Expert navigators.
Musicians.
People receiving rehabilitation.
Participants willing to complete intensive training.
People with unusual brain damage.
These groups may not represent everyone.
For example, the effect of years of expert navigation may not show how the brain changes after a short period of ordinary learning.
Researchers should avoid assuming that one form of plasticity applies equally to:
Every skill.
Every brain area.
Every age group.
Every participant.
Every type of damage.
A balanced evaluation of the evidence
Evidence relating to plasticity is persuasive because:
Brain scans produce objective biological data.
Structural changes have been observed following training.
Different forms of experience are associated with different brain areas.
Longitudinal designs show changes occurring over time.
Evidence from damage suggests that neural organisation can adapt.
However:
Cross-sectional research may suffer from self-selection.
Correlations do not establish causation.
Brain changes are not always linked clearly with better performance.
Small or specialised samples limit generalisation.
Scanning data require interpretation.
Individual differences affect the degree of plasticity.
Recovery following damage may be partial or compensatory.
The overall evidence supports an adaptable brain, but the extent and benefit of plasticity depend on the person, experience and neural system involved.
Applying plasticity to an unfamiliar scenario
Consider the following scenario:
A group of adults begin learning a complex dance routine. After several months, their performance improves and brain scans show changes in areas associated with movement and spatial processing.
This may demonstrate plasticity because:
The participants experienced repeated training.
The relevant neural systems were activated regularly.
Their behaviour changed through improved performance.
Their brain structure or functioning also changed.
The experience may have altered the neural networks involved.
However, before concluding that dance training caused the changes, researchers should consider:
Whether participants were scanned before training.
Whether a control group was included.
Whether the dancers completed other physical activities.
Whether the brain changes predicted their improvement.
Whether the changes remained after training ended.
Applying plasticity following damage
Consider another scenario:
Following damage to an area associated with movement, Noah initially has difficulty moving his right hand. After months of rehabilitation, his control improves and scans show increased activity in undamaged brain regions.
This may demonstrate plasticity because:
The original motor system was disrupted.
Other areas increased their contribution.
Repeated rehabilitation may have supported reorganisation.
Improved behaviour was associated with a change in brain activity.
However, the evidence does not necessarily show that the original area recovered.
The improvement may reflect:
Reorganisation.
Compensation.
Greater use of another pathway.
Natural recovery.
A combination of these processes.
A method for answering application questions
Use the following structure.
1. Identify the experience or damage
State what changed in the person’s environment or brain.
2. Identify the repeated demand
Explain which skill, behaviour or function was practised.
3. Link experience with neural change
State that repeated activation may alter brain structure, connections or functioning.
4. Apply the observed evidence
Use the scan result, behavioural improvement or change described in the scenario.
5. Avoid overstating causation
Consider whether the evidence was correlational or whether training was manipulated.
6. Include an alternative explanation
Consider self-selection, individual differences, natural recovery or another experience.
Writing an effective description of plasticity
A strong description might state:
Brain plasticity is the brain’s ability to change and adapt in response to experience, learning or damage. Repeated experience can alter neural connections and may produce structural or functional changes in areas involved in a skill. Following brain damage, undamaged regions may increase their contribution or neural pathways may reorganise. Plasticity can therefore support learning and recovery, although the amount of change varies between individuals and is not always beneficial.
This answer:
Defines plasticity.
Includes experience.
Includes damage.
Refers to structural and functional change.
Avoids claiming that recovery is guaranteed.
Writing an effective evidence paragraph
A developed evidence paragraph might state:
Draganski and colleagues scanned adults before and after they learned to juggle. After training, the participants showed structural changes in areas associated with processing visual motion, and some of the changes reduced when practice stopped. This supports experience-dependent plasticity because brain structure changed after participants acquired a new skill. The longitudinal design strengthens the conclusion because participants could be compared with their own earlier scans. However, other experiences during the study may also have influenced the changes.
Writing an effective evaluation paragraph
A developed evaluation point should include:
The feature of the evidence.
Why it matters.
Its effect on the conclusion.
A balance or qualification where possible.
For example:
Evidence from taxi drivers supports plasticity because extensive navigation experience was associated with differences in the hippocampus. However, the research was correlational, so it cannot establish that taxi driving caused the structural difference. People with pre-existing navigational abilities or hippocampal characteristics may have been more likely to become taxi drivers. Longitudinal training research provides stronger evidence because it measures change after the experience begins.
Key Words 🔑
Key word | Student-friendly definition | How it may be used in an exam |
Brain plasticity | The brain’s ability to change and adapt in response to experience, learning or damage. | Define the topic or explain changes following training or injury. |
Neuroplasticity | Another term for brain plasticity. | Use accurate biological terminology. |
Structural plasticity | A physical change in brain tissue, connections or organisation. | Explain findings from structural brain scans. |
Functional plasticity | A change in how brain areas or networks perform a function. | Explain altered activity following practice or damage. |
Experience-dependent plasticity | Brain change produced by learning or repeated experience. | Apply plasticity to education, work or skill development. |
Neural pathway | A connected route through which information travels within the nervous system. | Explain how repeated use may alter communication. |
Neural reorganisation | A change in which brain areas or pathways contribute to a function. | Explain adaptation following damage. |
Grey matter | Brain tissue containing many neuronal cell bodies. | Describe structural differences identified through brain imaging. |
Hippocampus | A brain structure associated with memory and spatial navigation. | Explain the taxi-driver evidence. |
Adaptive plasticity | Neural change that helps the individual learn, adapt or recover. | Evaluate useful effects of plasticity. |
Maladaptive plasticity | Neural change that contributes to difficulty or an unhelpful response. | Explain why plasticity is not always beneficial. |
Longitudinal design | A design that studies the same participants across time. | Evaluate evidence measuring change before and after training. |
Cross-sectional study | A study comparing groups at one point in time. | Evaluate research comparing experts and non-experts. |
Self-selection | The possibility that people with particular characteristics enter a group or occupation. | Evaluate correlational evidence from expert participants. |
Correlation | A relationship between two co-variables that does not establish causation. | Evaluate relationships between experience and brain structure. |
Control group | A comparison group that does not receive the target experience or training. | Explain how researchers can strengthen causal conclusions. |
Functional recovery | The restoration or compensation of abilities following brain damage. | Link plasticity with recovery after trauma. |
Compensation | Developing a different method of completing a task after a function is impaired. | Distinguish an alternative strategy from restoration of the original function. |
Converging evidence | Evidence from different studies or methods supporting the same conclusion. | Evaluate the overall case for brain plasticity. |
Generalisability | The extent to which findings apply beyond the participants studied. | Evaluate evidence from specialist or unusual samples. |
Common Mistakes ⚠️
Mistake: Describing the adult brain as completely fixed.
Why this is incorrect:Evidence from adult learning shows that brain structure and functioning can change after development.
How to improve:State that plasticity continues throughout life, although its form and extent may vary.
Mistake: Saying that plasticity means every brain area can perform every function.
Why this is incorrect:The brain contains specialised regions, and plasticity operates within biological limits.
How to improve:Explain that specialised areas can reorganise or change their contribution.
Mistake: Claiming that plasticity disproves localisation of function.
Why this is incorrect:Localisation explains typical specialisation, while plasticity explains how this organisation may change.
How to improve:Describe the brain as specialised but adaptable.
Mistake: Saying that a brain-scan difference proves an experience caused the change.
Why this is incorrect:Cross-sectional and correlational studies cannot establish cause and effect.
How to improve:Consider pre-existing differences and self-selection.
Mistake: Describing the taxi-driver research as a controlled experiment.
Why this is incorrect:Researchers did not randomly allocate people to work as taxi drivers for many years.
How to improve:Describe the relationship between navigation experience and hippocampal structure as correlational.
Mistake: Saying that Maguire’s research proves everyone who drives develops the same brain changes.
Why this is incorrect:The participants had extensive specialised navigation experience, and individual responses may differ.
How to improve:Avoid generalising beyond the experience and sample studied.
Mistake: Saying that structural change automatically means improved functioning.
Why this is incorrect:A biological difference must be connected with reliable behavioural evidence before improvement can be concluded.
How to improve:Refer to both brain measurements and performance.
Mistake: Saying that plasticity guarantees complete recovery after damage.
Why this is incorrect:Recovery depends on the location and extent of damage, individual differences and rehabilitation.
How to improve:Describe plasticity as creating a possibility for adaptation rather than guaranteeing recovery.
Mistake: Treating recovery and compensation as identical.
Why this is incorrect:Recovery may restore an ability, while compensation may involve completing the task in a different way.
How to improve:Identify whether the original function returned or an alternative strategy developed.
Mistake: Describing all plasticity as beneficial.
Why this is incorrect:Some forms of neural change may be maladaptive or interfere with functioning.
How to improve:Distinguish adaptive and maladaptive outcomes.
Mistake: Evaluating a study only by saying it used a brain scan.
Why this is incorrect:The scientific appearance of the method does not establish causation or validity.
How to improve:Evaluate the design, control group, behavioural measures and interpretation of the scan.
Mistake: Explaining functional recovery in full instead of focusing on plasticity.
Why this is incorrect:Plasticity is the broad ability of the brain to change. Functional recovery is its application following trauma.
How to improve:Explain the capacity for reorganisation here, then link detailed recovery mechanisms to the next lesson.
Exam-Style Questions ✍️
Question 1
Which one of the following best defines brain plasticity?
A. The fixed localisation of every function
B. The brain’s ability to change following experience or damage
C. The division of the brain into two hemispheres
D. The transmission of hormones through the bloodstream
[1 mark]
Question 2
Define experience-dependent plasticity.
[2 marks]
Question 3
Explain one difference between structural plasticity and functional plasticity.
[4 marks]
Question 4
A student practises a complex musical sequence every day for six months.
Using your knowledge of brain plasticity, explain how this experience might alter the student’s brain.
[4 marks]
Question 5
Following brain damage, an individual gradually learns to complete a familiar task using a different strategy.
Explain how brain plasticity could account for this change.
[4 marks]
Question 6
A psychologist compares the brain scans of professional navigators with those of people who do not regularly navigate complex routes.
Explain one conclusion the psychologist might draw and one reason why the conclusion should be treated cautiously.
[4 marks]
Question 7
Researchers scan a group of participants before and after they learn a new physical skill. A second group does not receive the training.
Explain why this design may provide stronger evidence of plasticity than comparing existing experts with non-experts.
[6 marks]
Question 8
A researcher finds a structural change in a brain area after participants complete several weeks of training.
Explain two additional pieces of evidence the researcher would need before concluding that the change improved participants’ performance.
[4 marks]
Question 9
Explain one strength and one limitation of brain-imaging evidence relating to plasticity.
[6 marks]
Question 10
Discuss evidence relating to brain plasticity.
Refer to the effects of experience or damage in your answer.
[8 marks]
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