In one line: Brain imaging lets us watch the living brain at work — without opening the skull.
Brain imaging is a core tool of the biological approach. It turns hidden brain activity into pictures and data we can study.
This links to the concept of measurement: imaging makes something invisible — brain activity — measurable, so we can link behaviour to what the brain is doing.
Memory hook: A window into the working brain. Imaging measures brain structure or activity while people think and act.
Free preview
This is the free notes preview
You're reading the free notes. Aimnova Pro unlocks the full study experience — and you can try it with your first topic free to keep:
- FlashcardsLock in vocabulary and key terms with spaced repetition.
- Practice questionsAnswer exam-style questions and get instant AI marking.
- Mock exams & past-paper vaultSit full mocks and see exactly how examiners award marks.
- Personalised study planA daily plan built around your exam date and weak areas.
Key idea: The main methods trade off between showing WHERE activity is and showing exactly WHEN it happens.
Imaging techniques
fMRI
Tracks blood flow to show which brain areas are active during a task. Great spatial detail (where), slower timing.
EEG
Records electrical activity through the scalp. Excellent timing (when), but poor at pinpointing the exact location.
PET
Uses a radioactive tracer to map activity or chemicals. Shows function, but is invasive and low-resolution.
fMRI · EEG · PET
Take a study of memory. An fMRI shows which regions light up when someone recalls a word (where); an EEG shows the split-second brain response as the word appears (when). Each technique measures the brain in a different way.
Go further — higher-level insight: Where vs when is the key trade-off. fMRI is strong on location but weak on precise timing; EEG is the reverse. Choosing the right tool depends on whether a study cares about which area or exactly when activity happens — a high-level evaluation point.
Practice with exam-style questions
Answer exam-style questions and get AI feedback that shows you exactly what examiners want to see in a full-marks response.
Key idea: Imaging is objective and powerful, but it shows correlation, not proof, and can be over-interpreted.
Strengths and limitations
| Strengths and limitations | Strengths | Limitations |
|---|---|---|
| Objectivity | Objective, measurable data on the living brain | Shows activity linked to a task, not that it caused behaviour |
| Use | Non-invasive (fMRI, EEG); aids diagnosis and research | Artificial setting — lying in a scanner isn't real life |
| Detail | Reveals structure and function | Risk of over-claiming ('this spot = this thought') |
So brain imaging gives objective, valuable data, but a good evaluation notes it usually shows correlation not causation, is done in artificial conditions, and can be over-interpreted as if one spot 'does' one job. The brain works in networks, not single dots.
Watch out: A region 'lighting up' doesn't prove it causes the behaviour. Imaging shows activity that correlates with a task — reverse or third-variable explanations still apply.