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Record W4379095436 · doi:10.1017/s1352465823000152

Decoupling: adaptation of a treatment for body-focused repetitive behaviour to Tourette syndrome. A case report

2023· article· en· W4379095436 on OpenAlexaff
Steffen Moritz, Danielle Penney, Stella Schmotz

Bibliographic record

VenueBehavioural and Cognitive Psychotherapy · 2023
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsDouglas Mental Health University Institute
Fundersnot available
KeywordsTicsTourette syndromePsychologyDecoupling (probability)Physical medicine and rehabilitationDevelopmental psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

AIMS: Tourette syndrome (TS) is a neurological condition; its etiology is not yet fully understood. Cognitive behavioural therapy with habit reversal training is the recommended first-line treatment, but is not effective in all patients. This is the first report examining the usefulness of decoupling, a behavioural self-help treatment originally developed for patients with body-focused repetitive behaviours, in a patient with TS. METHOD: Patient P.Z. showed 10 motor and three vocal tics on the Adult Tic Questionnaire (ATQ) before treatment. He was taught decoupling by the first author. RESULTS: The application of decoupling led to a reduction of P.Z.'s eye tics, which was one of his first and most enduring and severe tics. It was not effective for other areas. Quality of life and depression improved, which P.Z. attributed to the improvement of his tics. CONCLUSION: Decoupling may be adopted as an alternative, when habit reversal training is not feasible. Future research, preferably using a controlled design with a large sample, may elucidate whether decoupling is only effective for tics relating to the eyes, the most common symptom in tic disorder/TS, or whether its effects extend to other symptoms.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.054
GPT teacher head0.358
Teacher spread0.304 · 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 teacher head, not a consensus.

Study designObservational
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

Citations1
Published2023
Admission routes1
Has abstractyes

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