1565 – Safety, Efficacy, And Tolerability Of Intermittent Theta-burst Rtms Of The Dorsomedial Prefrontal Cortex For Refractory Major Depression
Bibliographic record
Abstract
rTMS is an emerging treatment for major depressive disorder (MDD) refractory to medications and psychotherapy. The conventional target for rTMS in MDD is the dorsolateral prefrontal cortex (DLPFC). However, convergent evidence from lesion, stimulation, and neuroimaging studies suggests that the dorsomedial prefrontal cortex (DMPFC) may play a more central role in emotion regulation. We have recently demonstrated robust and potentially superior antidepressant properties for excitatory rTMS of the DMPFC. However, one of the enduring limitations of rTMS is the long duration of each treatment session under conventional protocols, which require ~40 minutes per day over 20-30 sessions for maximum efficacy using conventional 10 Hz stimulation. More recent studies have suggested that theta-burst stimulation (TBS) protocols can achieve stronger and more durable effects in markedly less time. Intermittent theta-burst stimulation (iTBS) generates robust and long-lasting excitatory effects with 600 pulses over ~3 min. Pilot studies have previously reported antidepressant effects with TBS over the DLPFC. However, TBS over the DMPFC has not previously been studied. Here we report robust antidepressant effects for a 7 min course of iTBS, administered bilaterally over the DMPFC with MRI-guidance at 120% resting motor threshold, over 20-30 sessions, in an open-label series of 40 patients with refractory MDD. Safety, efficacy, and tolerability are comparable to a 10 Hz rTMS protocol requiring 30-40 min of treatment. iTBS of the DMPFC may effectively reduce the duration (and cost) of rTMS >4-fold, thus increasing patient capacity per clinic and improving the overall accessibility of rTMS in refractory MDD.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".