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Record W4413111437 · doi:10.1002/mdc3.70286

Comorbid Obsessive Compulsive Disorder in Tourette's Syndrome: Questioning its Impact

2025· letter· en· W4413111437 on OpenAlexaffabout
Lyna Hanafi, Marc E. Lavoie

Bibliographic record

VenueMovement Disorders Clinical Practice · 2025
Typeletter
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsUniversité TÉLUQUniversité de Montréal
Fundersnot available
KeywordsTourette syndromeObsessive compulsiveTicsPsychiatryPsychologyTic disorderMedicine

Abstract

fetched live from OpenAlex

The article by Mahjoub et al1 constitutes an original contribution to using transcranial direct current stimulation (tDCS) to treat Gilles de la Tourette Syndrome (TS). Mahjoub et al1 provided valuable insights into the feasibility and tolerability of short-term SMA-targeted neuromodulation, which marks promising avenues for new treatment options for TS. Despite their small sample size, Mahjoub et al1 produced encouraging results. However, comorbidity could insert particular noise in interpreting the results. When comparing comorbidity proportions in the two arms, in Table 1, the presence of anxiety and/or depressive disorder is comparable between the two, as is the case for attention deficit hyperactivity disorder. Nevertheless, for obsessive-compulsive disorder (OCD), the sham contains three participants, whereas the active condition contains seven participants. This difference is significant when compared to the other comorbidities. Given that each arm only contains 12 participants, this imbalance makes it harder to accurately compare the assessment of tDCS efficacy for TS between the sham and active conditions. It becomes particularly relevant when looking into the significant effect of tDCS intervention on decreasing premonitory urge intensity. The authors suggest that the observed reduction in the Premonitory Urge for Tics Scale (PUTS) score after repeated stimulation in the active condition may be related to the role of the SMA, cingulate cortex, and insula in generating premonitory urges. While this is a plausible explanation, another one could be of interest. While the PUTS questionnaire has relatively good construct validity and internal consistency,2, 3 its discriminant validity is less robust. Studies in both adolescents and adults with varying TS severity have found associations and significant correlations between premonitory urges and OCD symptoms.2, 4, 5 This is often attributed to the fact that some aspects of premonitory urges closely resemble compulsions. Specifically, the overlap is most visible in “not just right” experiences and feelings of incompleteness items of the PUTS.2, 4, 5 Given that the majority of OCD comorbidity in the total sample was in the active group, it is reasonable to question whether the observed reduction in premonitory urge intensity was genuinely attributable to the tDCS intervention's effect on tic severity. Admittedly, the study's absence of significant differences in Y-BOCS scores, despite the imbalance of comorbid OCD in groups, could suggest that the tDCS intervention did indeed correctly target TS. However, one inclusion criterion of the sample was to remain clinically stable in any psychiatric comorbidity. This measure suggests that OCD comorbidities included in the sample could have been milder, explaining why the Y-BOCS questionnaire was not sensitive to significant changes in severity scores, whereas PUTS may have picked up on those changes. In light of this, it would be very interesting if there was a more pronounced reduction in the “not just right” experiences and feelings of incompleteness items of the PUTS. Despite these limitations, this initial study marks an important step forward in exploring new tDCS treatment options for TS. Non-invasive brain stimulation methods offer a promising combination of accessibility and potential efficacy for this disorder, especially in patients with higher symptom severity. (1) Research project: A. Conception, B. Organization, C. Execution; (2) Manuscript Preparation: A. Writing of the first draft, B. Review and Critique. L.H.: 1A, 1B, 1C, 2A. M.E.L.: 2A, 2B. Ethical Compliance Statement: The authors confirm that the approval of an institutional review board and patient consent was not required for this work. We also confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. Funding Sources and Conflict of Interest: No specific funding was received by MEL or LH for this work. MEL was supported by a project grant from the Canadian Institute for Health Research. Both authors declare no conflicts of interest relevant to this work. Financial Disclosures for the Previous 12 Months: MEL and LH have no disclosures to report. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0030.013
Insufficient payload (model declined to judge)0.0050.002

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 head0.024
GPT teacher head0.411
Teacher spread0.387 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2025
Admission routes2
Has abstractyes

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