Changes in Autobiographical Memory Specificity following Cognitive Behavior Therapy and Pharmacotherapy for Major Depression
Bibliographic record
Abstract
BACKGROUND: An important cognitive marker of clinical depression is a reduced ability to be specific in recalling personal memories, a phenomenon coined 'overgeneral memory'. Overgeneral memory is considered as a stable cognitive trait that is intrinsically linked with depression and independent of mood state. Previous studies show that autobiographical memory is modifiable. SAMPLING AND METHODS: This study investigated whether autobiographical memory is differentially affected by treatment type. Depressed patients were randomly assigned to receive either cognitive behavior therapy (CBT) for depression or pharmacotherapy (PHT). RESULTS: The proportion of categoric memories decreased and the proportion of specific memories increased following both types of treatments, adding support to the view that overgeneral memory is modifiable. CBT also had a greater impact on reducing extended overgeneral memories compared to PHT. CONCLUSIONS: The results from the current study are important in that they show that overgeneral memory can be targeted and modified through brief treatment. The clinical significance of the finding that there was a greater decrease in extended memories in the CBT group is unclear.
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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 | 0.003 |
| 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".