Reward sensitivity and cognitive biases as predictors of response to low-frequency rTMS applied to the right dorsolateral prefrontal cortex in depression
Bibliographic record
Abstract
Repetitive transcranial magnetic stimulation (rTMS) has been shown to be an effective treatment for individuals diagnosed with Major Depressive Disorder (MDD). However, responses to rTMS vary across individuals, and not everyone who receives rTMS treatment will experience full remission of their depression symptoms. Furthermore, changes in psychological processes that may underlie improvements in depressive symptoms over the course of low-frequency rTMS for MDD applied to the right dorsolateral prefrontal cortex are not well characterized. For the current study, we will examine whether performance on experimental measures of reward sensitivity and cognitive biases prior to commencing rTMS treatment predict symptom remission among individuals diagnosed with MDD. We will also assess changes in reward sensitivity and cognitive biases from pre-treatment to 12-week follow-up and examine whether symptom improvements are associated with changes in reward sensitivity and cognitive biases.
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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 | 0.001 | 0.006 |
| 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) | 0.002 | 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".