Assessment of cognitive domains in major depressive disorders using the Cambridge Neuropsychological Test Automated Battery (CANTAB): Systematic review and meta-analysis of cross-sectional and longitudinal studies
Bibliographic record
Abstract
Cognitive difficulties are known to persist after remission of symptoms and to affect psychosocial functioning and quality of life. Cognitive function, measured with the Cambridge Neuro-psychological Test Automated Battery (CANTAB), is a reliable approach to measure cognitive function in major depression. This systematic review and meta-analysis appraise cross-sectional and longitudinal studies that used specific CANTAB tests to measure cognitive function in major depression and the effect of treatment (PROSPERO ID: CRD42022355903). 1212 studies were identified and 41 were included, 1793 patients and 1445 healthy controls. Deficits in executive functions were detected with the Stocking Of Cambridge (SOC) ‘number of problems solved with minimal number of moves’ and ‘subsequent thinking time’, Intra-Extra Dimensional Set Shift ‘number of trials to complete the test’, Spatial Working Memory ‘strategy score’ and ‘between errors score’, Spatial Span. Memory deficits were detected with Paired Associates Learning ‘number of total errors’, Pattern Recognition Memory (PRM) ‘% of correct answers’ and ‘response latency’, Spatial Recognition Memory ‘% of correct answers’, Delayed Matching To Sample (DMS) ‘% of total responses’. Impaired attention was detected by Rapid Visual Information Processing ‘response latency’ and probability to detect target’. Mental and motor responses increased when Reaction Time was measured. SOC ‘number of problems solved with minimal number of moves', PRM ‘response latency’ and DMS ‘% of total responses' improved after a course of treatment. A range of variables including year of publication, age, IQ, severity and duration of illness influenced cognitive changes. The presence of significant cognitive deficits requires novel targeted interventions. • Cognitive difficulties in major depression are known to persist after recovery. • The Cambridge Neuro-psychological Test Automated Battery (CANTAB) can reliably measure cognitive function in major depression. • Major depression is characterised by cognitive deficits in executive functions, memory, and attention. • Cognitive deficits improve following treatment.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.019 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".