MétaCan
Menu
Back to cohort
Record W3122213223 · doi:10.1016/j.brs.2021.01.014

A case study of the feasibility of weekly tACS for the treatment of auditory hallucinations in schizophrenia

2021· letter· en· W3122213223 on OpenAlexaboutno aff
Rachel B. Force, Justin Riddle, L. Fredrik Jarskog, Flavio Frӧhlich

Bibliographic record

VenueBrain stimulation · 2021
Typeletter
Languageen
FieldNeuroscience
TopicNeural dynamics and brain function
Canadian institutionsnot available
FundersNational Institute of Mental HealthNational Institutes of Health
KeywordsTranscranial alternating current stimulationSchizophrenia (object-oriented programming)PsychologyAudiologyTranscranial magnetic stimulationMedicineClinical psychologyPsychiatryNeuroscienceStimulation

Abstract

fetched live from OpenAlex

In a previous double-blind placebo-controlled clinical trial for the treatment of auditory hallucinations in patients with schizophrenia, we administered five consecutive days of transcranial alternating current stimulation (tACS) targeted to increase network synchronization between the prefrontal cortex and auditory cortex [1]. Our initial study found that tACS restored impaired alpha oscillations and that this increase correlated with clinical benefit. These findings suggest that tACS may be of future therapeutic value, and weekly tACS may be a means of increasing the durability of clinical benefit [2].

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.105
GPT teacher head0.330
Teacher spread0.225 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBrain stimulationSame topicNeural dynamics and brain functionFrench-language works237,207