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Record W2785329738 · doi:10.7759/cureus.2204

Hypomania Risk in Noninvasive Brain Stimulation

2018· review· en· W2785329738 on OpenAlex
Abhishek Gupta, Mahwish Adnan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCureus · 2018
Typereview
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsHypomaniaMedicineTranscranial direct-current stimulationStimulationRegimenNeuromodulationBrain stimulationPhysical medicine and rehabilitationBipolar disorderPsychiatryManiaInternal medicineMood

Abstract

fetched live from OpenAlex

Noninvasive brain stimulation, using electromagnetic waves (repetitive transcranial magnetic stimulation (rTMS)) and direct electrical current (transcranial direct current stimulation (tDCS)), is a new frontier in treating psychiatric maladies. While still being developed as viable treatment options, both options have had numerously reported side-effects, with hypomania being a significant concern during investigations. While there has been a relatively rare incidence of hypomania among rTMS/tDCS trials, it still posits an important issue regarding the safety of both treatment modalities. This review studies the reported episodes of hypomania in rTMS and tDCS trials in order to identify any patterns that may cause the same. Such patterns included higher stimulation strengths with long stimulation periods. These factors, if modified, along with an established regimen of screening and prophylaxis against hypomanic risks, may be effective protection against hypomania, as well as to prevent manic episodes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.113
GPT teacher head0.367
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it