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Record W4409285804 · doi:10.1097/wnr.0000000000002160

Dancers’ resistance to vertigo cannot be explained by a generalized suppression of vestibular signaling

2025· article· en· W4409285804 on OpenAlexaff
Karina Moïn-Darbari, Daniel Paromov, Benoit-Antoine Bacon, Maxime Maheu, François Champoux

Bibliographic record

VenueNeuroreport · 2025
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsUniversity of British ColumbiaUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsGalvanic vestibular stimulationVestibular systemVertigoPsychologyAudiologyPhysical medicine and rehabilitationMedicineNeuroscience

Abstract

fetched live from OpenAlex

From a vestibular perspective, it is remarkable that dancers are often performing challenging tasks such as pirouettes, and yet manage to do so without falling. Some have suggested that dancers' resistance to vertigo may be explained by a generalized suppression of vestibular signaling. Here, we aimed to test this hypothesis by examining the impact of galvanic vestibular stimulation (GVS) on postural control in dancers. A total of 38 participants were recruited for this study and were divided into two groups: 19 dancers and 19 healthy controls. Postural control was assessed at baseline and during GVS. As expected, dancers exhibited better postural control, as assessed by a decrease in sway area, when compared to the control group in the baseline condition. However, contrary to expectations, dancers did not differ from controls during GVS. This confirms that dancers' resistance to vertigo cannot be explained by a generalized suppression of vestibular signaling. Rather, dancers may have developed a more accurate body representation due to top-down modulation of subcortical neuronal networks and may only be able to modify vestibular input during active movement.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.019
GPT teacher head0.278
Teacher spread0.259 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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