Bilateral vestibulopathy - Loss of vestibular function and experience of emotions
Abstract
OBJECTIVE: The vestibular system is closely connected to emotion-processing neuronal circuits. Patients with bilateral vestibulopathy (BVP), a chronic loss of vestibular function, show remarkably lower rates of psychiatric comorbidities and vertigo-related anxiety (VRA) than those with episodic vertigo/dizziness (v/d). This study aimed to evaluate whether patients with BVP differ from those with episodic v/d in terms of VRA, general anxiety, and cognitions about body and health.
METHODS: This cross-sectional study involved a subsample of 202 patients with episodic v/d (i.e., vestibular migraine, vestibular paroxysmia, or Menière's disease) and 43 patients with BVP. All patients underwent standardised neurological/neurotological examinations, structured clinical interviews (SCID-I), and self-report questionnaires, such as the Vertigo Handicap Questionnaire (VHQ), Beck Anxiety Inventory (BAI), Trait Anxiety from the State-Trait-Anxiety Inventory (STAI-T), and Cognitions About Body and Health questionnaire (CABAH). Non-parametric tests were used for analysis. Due to multiple testing, the significance level was set at p ≤ .008.
RESULTS: Patients with episodic v/d exhibited higher VRA levels than those with BVP. However, this difference was not statistically significant (p = .04; r = 0.15, small effect). Additionally, patients with BVP reported more catastrophizing cognitions (p < .001; r = 0.25, small effect) and bodily weakness (p = .003; r = 0.22, small effect) compared to…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 202 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.