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Record W4407387217 · doi:10.1093/ijnp/pyae059.639

IS THERE A DIFFERENCE IN VESTIBULAR SYSTEM REACTIVITY BETWEEN PATIENTS WITH SCHIZOPHRENIA AND HEALTHY CONTROL PARTICIPANTS?

2025· article· en· W4407387217 on OpenAlexaff
Yasaman Kambari, Jianmeng Song, Aron Amaev, Ali Abdolizadeh, Edgardo Torres‐Carmona, Fumihiko Ueno, Teruki Koizumi, John Rutka, Emma Leblanc, Neil Bailie, Wanda Dillon, Kaitlin Harvey, Laurel Palmer, Ariel Graff‐Guerrero, Philip Gerretsen

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsToronto General HospitalUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)Vestibular systemAudiologyReactivity (psychology)PsychologyPhysical medicine and rehabilitationMedicinePsychiatryNeuroscienceClinical psychologyAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Background Conventional caloric vestibular stimulation (CVS), which involves the irrigation of cold or warm water into the external ear canal induces a temperature gradient across the semicircular canals of the vestibular apparatus stimulating the vestibular nerve and eliciting the vestibulo-ocular reflex. It is commonly used in both otolaryngology to assess vestibular function and neurology to test brain stem function. In schizophrenia, there is no conclusive link between psychopathology and vestibular dysfunction. Initial data from another CVS study by our group suggests that individuals with schizophrenia may have greater reactivity to body temperature (37° C) CVS, as measured by the peak slow phase velocity of the resulting nystagmus (PSPV), than would be expected for healthy participants1. However, we are unaware of any studies that have investigated the differential effects of CVS temperature gradients on individuals with schizophrenia versus healthy control participants. Aim & Objective In the current study we aimed to examine if individuals with schizophrenia have greater reactivity to caloric vestibular stimulation than healthy control (HC) participants. Methods Patients with schizophrenia and HC participants received three conditions bilaterally: (1) body temperature (37° C) CVS; (2) warm CVS (44° C), and (3) cold CVS (30° C). All conditions were performed by an audiologist. The physiological response of vestibular stimulation was assessed with videonystagmography, which provides a measure of the intensity of the nystagmus via PSPV. Independent sample t-tests were conducted to compare vestibular reactivity (i.e., nystagmus) between patients and HC participants for each CVS condition. Results A total of 20 patients (mean age 39.2, SD=12.6, 25% female) and 20 HC participants (mean age 37.9, SD=13.1; 25% female) completed the study. There was no statistically significant difference between patients and HC participants in body temperature, warm or cold CVS (p>0.05). Discussion & Conclusion In schizophrenia, there is no conclusive link between psychopathology and vestibular dysfunction, and we are not aware of any data that exists on the range of responses to CVS in persons with schizophrenia. We did not find any differences in vestibular reactivity between patients with schizophrenia and HC participants in response to CVS. References Gerretsen, P.et al.(2017) ‘Vestibular stimulation improves insight into illness in schizophrenia spectrum disorders’, Psychiatry Research, 251, pp. 333–341. doi:10.1016/j.psychres.2017.02.020.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.322
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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