Meniere’s disease (MD) is a chronic disorder of inner ear, characterized by audial and vestibular symptoms. It presents a great variability among patients in terms of clinical features, etiology, p...

(1) Background: Patients with vestibular migraine (VM) often present with positional vertigo. A portion of these patients have features of benign paroxysmal positional vertigo (BPPV). It is a challenge to rapidly identify the BPPV component of VM associated with positional vertigo. (2) Methods: Retrospective data collected from 60 VM and 47 VM + BPPV patients were used to build a diagnostic model, and then prospective data from 47 patients were used for the external validation. All patients had VM manifesting as positional vertigo, with or without accompanying BPPV. The clinical manifestations and the results of vestibular function tests were comprehensively analyzed using logistic regression. (3) Results: The univariate and multivariate analyses showed that the age, symptom duration, tinnitus, ear fullness, nausea, head shaking nystagmus, the direction of the Dix–Hallpike and roll tests, and horizontal gain could help differentiate between the two groups. A nomogram and an online calculator were generated. The C-index was 0.870. The diagnostic model showed good discriminative power and calibration performance during internal and external validation. (4) Conclusions: This study provided a new perspective for diagnosing VM with positional vertigo by identifying the BPPV component and, for the first time, offers a prediction model integrating multiple predictors.

(1) Background: Vestibular migraine (VM) and Meniere’s disease (MD) share multiple features in terms of clinical presentations and auditory-vestibular dysfunctions, e.g., vertigo, hearing loss, and headache. Therefore, differentiation between VM and MD is of great significance. (2) Methods: We retrospectively analyzed the medical records of 110 patients with VM and 110 patients with MD. We at first established a regression equation by using logistic regression analysis. Furthermore, sensitivity, specificity, accuracy, positive predicted value (PV), and negative PV of screened parameters were assessed and intuitively displayed by receiver operating characteristic curve (ROC curve). Then, two visualization tools, i.e., nomograph and applet, were established for convenience of clinicians. Furthermore, other patients with VM or MD were recruited to validate the power of the equation by ROC curve and the Gruppo Italiano per la Valutazione degli Interventi in Terapia Intensiva (GiViTI) calibration belt. (3) Results: The clinical manifestations and auditory-vestibular functions could help differentiate VM from MD, including attack frequency (X5), phonophobia (X13), electrocochleogram (ECochG) (X18), head-shaking test (HST) (X23), ocular vestibular evoked myogenic potential (o-VEMP) (X27), and horizontal gain of vestibular autorotation test (VAT) (X30). On the basis of statistically significant parameters screened by Chi-square test and multivariable double logistic regression analysis, we established a regression equation: P = 1/[1 + e^{−(−2.269× X5 − 2.395× X13 + 2.141× X18 + 3.949 × X23 + 2.798× X27 − 4.275× X30(1) − 5.811× X30(2) + 0.873)}] (P, predictive value; e, natural logarithm). Nomographs and applets were used to visualize our result. After validation, the prediction model showed good discriminative power and calibrating power. (4) Conclusions: Our study suggested that a diagnostic algorithm based on available clinical features and an auditory-vestibular function regression equation is clinically effective and feasible as a differentiating tool and could improve the differential diagnosis between VM and MD.

Aims: Vestibular dysfunction is strongly linked to cognitive impairment and dementia risk, yet its underlying mechanisms remain unclear, hindering treatment development. As a primary physical therapy intervention, aerobic exercise improves cognitive dysfunction. Thus, we investigated its potential to reverse cognitive deficits after vestibular dysfunction and explored the neurobiological mechanisms involved. Methods: Behavioral experiments were conducted to assess the cognitive impairment induced by unilateral labyrinthectomy (UL). Immunofluorescence staining was performed to assess neural stem cell proliferation and newborn neuron maturation in the hippocampal dentate gyrus. Aerobic exercise was applied as an intervention to examine its effects on cognitive and neurogenic recovery. RNA sequencing followed by qRT‐PCR was used to characterize transcriptional changes. Pharmacological manipulation is applied to demonstrate the necessity and sufficiency of key candidate genes in mediating the exercise‐induced effects. Results: UL induced significant cognitive dysfunction and hippocampal neurogenesis inhibition, whereas aerobic exercise intervention reversed these impairments. Transcriptomic profiling showed that aerobic exercise normalized UL‐disrupted gene expression, with enrichment observed in MHC class I/II–related (H2‐K1, H2‐Eb1, CD74) and neurodevelopmental (Cntn5, Mid1) pathways. Pharmacological experiments established causality: inhibition of neuroinflammatory signaling with AZD1480 enhanced neurogenesis and improved cognition after UL, whereas LPS‐mediated activation of inflammation attenuated the beneficial effects of aerobic exercise. Conclusion: These findings provide a novel non‐pharmacological strategy for cognitive rehabilitation, as well as early cognitive screening and exercise rehabilitation intervention for patients with vestibular disorders.

Objective: To explore the dynamic changes of vestibular autorotation test (VAT) before and after vestibular rehabilitation treatment in patients with unilateral vestibular hypofunction (UVH). Methods: A retrospective study was carried out,48 patients who were diagnosed with UVH and under vestibular rehabilitation in department of otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, from January 2019 to January 2021 were enrolled. Among them, there were 21 males and 27 females, with an average age of 46.9 years old, including 25 cases of Meniere's disease, 13 cases of sudden deafness with vertigo and 10 cases of vestibular neuritis. The course of disease ranged from 5 days to 10 years. Demographic characteristics, detailed case data and routine examination were collected for the patients. The horizontal gain/phase, vertical gain/phase, and asymmetry of VAT at different frequencies before and after vestibular rehabilitation were collected. The absolute value of the difference between the measured value of 2.0-5.9 Hz before and after rehabilitation and the standard value were statistically analyzed. Results: Before vestibular rehabilitation, the incidence of abnormal gain was 62.5% (30/48), the incidence of abnormal phase was 56.3% (27/48), and the incidence of asymmetry was 16.7% (8/48). After 4-6 weeks of vestibular rehabilitation, the incidence of gain abnormality was 22.9% (11/48), the incidence of phase abnormality was 31.3% (15/48), and the incidence of asymmetry was 12.5% (6/48).The horizontal gain at frequency of 2.0-3.9 Hz showed statistically significant difference compared with before vestibular rehabilitation (P0.05); the horizontal phase at 5.9 Hz showed that the difference was statistically significant (P=0.043), and there was no significant difference before and after rehabilitation treatment at 2.0-5.5 Hz (P>0.05); the vertical gain at 4.3 Hz showed the difference was statistically significant (P=0.020), and the remaining frequency showed no significant difference (P>0.05); No frequency of asymmetry and vertical phase showed the difference before and after rehabilitation was statistically significant (P>0.05). Conclusion: VAT can be used to monitor the change trend of multiple frequency bands before and after vestibular rehabilitation in UVH, in order to provide reference for the formulation of personalized rehabilitation strategies.