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Record W2118874420 · doi:10.1080/15622970500474705

The treatment of recurring auditory hallucinations in schizophrenia with rTMS

2006· article· en· W2118874420 on OpenAlex

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

VenueThe World Journal of Biological Psychiatry · 2006
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)PsychologyAudiologyNeurosciencePsychiatryCognitive psychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Auditory hallucinations are a common and disabling problem for many patients with schizophrenia and often fail to respond to optimal antipsychotic therapy. Repetitive transcranial magnetic stimulation (rTMS) has recently been trialled as an alternative treatment option for these patients. These studies have generally been positive, but treatment has only been provided for short periods of time and little is known about the longer-term impact of TMS on the course of hallucinations. METHOD: We describe two cases in which rTMS was provided to patients upon relapse of hallucinations following initial successful rTMS treatment in a clinical trial. RESULTS: A repeat course of rTMS resulted in a marked improvement in the symptoms experienced by these two patients. CONCLUSIONS: rTMS appears to have potential as a long-term treatment for patients with auditory hallucinations, but requires ongoing systematic investigation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.168

Codex and Gemma teacher scores by category

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

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 head0.030
GPT teacher head0.280
Teacher spread0.250 · 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