Scaling up a success story: how do we achieve universal access to transcranial magnetic stimulation?
Bibliographic record
Abstract
PURPOSE OF REVIEW: Over one billion people suffer from psychiatric and/or neurological disorders for which transcranial magnetic stimulation (TMS) has shown efficacy. Achieving widespread TMS access will require major improvements to cost and convenience. A key figure of merit for a given TMS protocol concerns not its remission rate or tolerability, but simply its treatment time per remission (TTPR). RECENT FINDINGS: Outcomes for conventional bilateral TMS protocols imply a TTPR of more than 100 h - incompatible with widespread access. However, briefer accelerated and/or theta-burst protocols may improve TTPR to less than 20 h. Personalization strategies that improve remission rates sometime improve TTPR, depending on associated cost-penalties of time or complexity. A potentially groundbreaking new strategy to improve TTPR involves pharmacological augmentation of neuroplasticity, using agents such as D -cycloserine. Plasticity-augmentation may improve TTPR by improving remission rates, and by reducing the number of required sessions. Recent literature suggests that TTPR values of under 5 h per remission may be achievable via neuroplasticity augmentation. SUMMARY: The most recent plasticity-augmented TMS protocols may approach or exceed cost-parity with pharmacotherapy, in terms of reducing the prevalence of depression. With the health economics of TMS improving steadily, a pathway to universal access may be within reach.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".