Naturalistic Study of the use of Transcranial Magnetic Stimulation in the Treatment of Depressive Relapse
Bibliographic record
Abstract
BACKGROUND: The efficacy of repetitive transcranial magnetic stimulation (rTMS) in the treatment of depression has been assessed in a number of acute treatment trials during the last 10 years. Little is known about the long-term impact of the treatment on the disorder and its effectiveness when applied for repeated relapses of depression over time. METHOD: Nineteen patients who had previously responded to rTMS in clinical trials received treatment with rTMS for a total of 30 episodes of depressive relapse. RESULTS: Approximately 10 months elapsed between treatment episodes. The majority of patients achieved a significant improvement in each treatment course with significant improvements achieved in patients treated with both low-frequency right-sided rTMS and high-frequency left-sided rTMS. CONCLUSIONS: The study suggests that rTMS may have value in the treatment of episodes of depressive relapse with little reduction in efficacy over time.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".