An fMRI study of prefrontal brain activation during multiple tasks in patients with major depressive disorder
Bibliographic record
Abstract
OBJECTIVE: Previous research has provided conflicting information regarding the pattern of brain activation associated with cognitive performance in depressed people. We aimed to assess brain activation related to cognitive performance during planning and working memory tasks. METHOD: fMRI scans were conducted using a modified Tower of London task and a 2-back task in 13 patients with major depressive disorder and a matched control group. RESULTS: Task performance was impaired in the depressed group on the Tower of London task but there were no differences between the groups in task performance on the n-back task. The patient group showed widespread increased brain activation in both tasks. There was considerable overlap in increased activation between the two tasks, especially in right prefrontal cortical regions. CONCLUSIONS: Patients with depression exhibit increased brain activation, especially in right prefrontal regions, across several types of cognitive task activity. Patients with depression may recruit greater brain regions to achieve similar or even poorer task performance than control subjects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".