Gamma power correlates with clinical response to repetitive transcranial magnetic stimulation (rTMS) for depression
Bibliographic record
Abstract
Major Depressive Disorder (MDD) is a significant public health issue and a leading cause of mortality. Due to the limited efficacy of current treatment options, neuromodulation therapies such as repetitive transcranial magnetic stimulation (rTMS) have been explored. However, not all patients experience improvements in depressive symptoms from rTMS, and the reasons for this are not clear. The goal of this study is to contrast functional changes in responders versus non-responders over a single course of treatment. rTMS was administered to the left dorsolateral prefrontal cortex (L-DLPFC) during 5 sessions per week for four weeks. Magnetoencephalography (MEG) recordings were acquired before, during and after treatment in order to make longitudinal assessments. Power spectral density (PSD) analysis revealed differences in γ band activity that were related to the degree of clinical response. These results suggest that cortical activity measured using MEG could act as an objective measure of anti-depressive response.
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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 | 0.001 |
| 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".