Clinical and electronystagmographical evaluation of vestibular symptoms in relapsing remitting multiple sclerosis

Değirmenci, Eylem; Bir, Levent Sinan; Ardıç, Fazíl Necdet

doi:10.1179/016164110x12681290831405

Cited by 11 publications

(11 citation statements)

References 13 publications

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“…True vertigo is found at presentation in up to 20% of patients, but in the course of the disease, approximately 50% will experience this symptom [16]. Involvement of the vestibular system in MS patients is well known and detailed investigation of this system may give paraclinical evidence even in asymptomatic patients [17]. However, MS patients commonly experience vertigo on the basis of other etiologies.…”

Section: Unstable Gait/vertigomentioning

confidence: 99%

Evaluation of brainstem involvement in multiple sclerosis

Habek¹

2013

Expert Review of Neurotherapeutics

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Evidence suggests that brainstem involvement in multiple sclerosis (MS) is one of the major predictive factors for future disability. Recent work demonstrates that brainstem pathology is more frequent than can be depicted either clinically or with the use of MRI. Evoked potentials have been shown to reliably predict disability in MS patients. This review will consider the main clinical and neuroradiological aspects together with the role of different neurophysiological tests, as ancillary tools to conventional studies, in evaluation of brainstem pathology in MS patients. Specifically, the role of vestibular evoked myogenic potentials, trigeminal somatosensory evoked potentials, autonomic nervous system testing and sleep testing in MS, as correlates of brainstem damage, will be explored.

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Section: Unstable Gait/vertigomentioning

confidence: 99%

Evaluation of brainstem involvement in multiple sclerosis

Habek¹

2013

Expert Review of Neurotherapeutics

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“…Both studies found ENG abnormalities in the peripheral and central vestibular systems in PwMS. 27 55 Degirmenci et al noted that 90% of PwMS showed ENG abnormalities compared with 6.7% of the controls, and there was a significant difference between groups. 27 Abnormalities suggestive of central vestibular pathology were found in 83.3% of PwMS and in 6.7% of controls, and abnormalities suggestive of peripheral vestibular pathology were found in 36.7% of PwMS and in 0% of controls.…”

Section: Ms and Vestibular Functionmentioning

confidence: 98%

“…27 55 Degirmenci et al noted that 90% of PwMS showed ENG abnormalities compared with 6.7% of the controls, and there was a significant difference between groups. 27 Abnormalities suggestive of central vestibular pathology were found in 83.3% of PwMS and in 6.7% of controls, and abnormalities suggestive of peripheral vestibular pathology were found in 36.7% of PwMS and in 0% of controls. 27 Zeigelboim et al also reported ENG abnormalities in 86.7% (83.4% peripheral) of their PwMS.…”

Section: Ms and Vestibular Functionmentioning

confidence: 98%

“…Studies that assessed the vestibular system via electronystagmography (ENG) found abnormal results in PwMS on tests of peripheral vestibular function, central vestibular function or both. [24][25][26][27] Other studies that investigated the vestibular pathway via vestibular evoked myogenic potentials (VEMPs) in PwMS found abnormalities in VEMP results including latency delays, reduced amplitudes and interaural side differences. [28][29][30][31][32][33][34][35][36][37][38][39] Further studies investigated the functional integrity of the vestibular system in PwMS via static and dynamic posturography, and found that PwMS performed in general worse than healthy controls.…”

Section: Introductionmentioning

confidence: 99%

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Effects of multiple sclerosis on the audio-vestibular system: a systematic review

2022

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ObjectiveSystematically investigate the effects of multiple sclerosis (MS) on the audio-vestibular system.MethodsSystematic review of literature investigating audio-vestibular conditions in persons with MS (PwMS) aged ≥18 years. PubMed, Scopus, NICE and Web of Science were searched. Randomised controlled trials, and cohort, case–control, observational and retrospective studies in English, published from 2000 to 21 November 2021, evaluated PwMS with at least one outcome (pure tone audiometry, auditory brainstem response, otoacoustic emissions, cortical auditory evoked potentials, functional MRI assessing auditory function, vestibular evoked myogenic potentials, videonystagmography, electronystagmography, posturography, rotary chair, gaps in noise, word discrimination scores, duration pattern sequence test), were included. Study selection and assessments of bias were independently conducted by two reviewers using the Risk of Bias Assessment Tool for Non-randomized Studies, Newcastle-Ottawa Scale (NOS) and the NOS adapted for cross-sectional studies.Results35 studies were included. Auditory function was evaluated in 714 PwMS and 501 controls, vestibular function was evaluated in 682 PwMS and 446 controls. Peripheral auditory function results were contradictory between studies; some found abnormalities in PwMS, and others found no differences. Tests of brainstem and central auditory functions were more consistently found to be abnormal in PwMS. Most vestibular tests were reported as abnormal in PwMS, abnormalities were either peripheral or central or both. However, quantitative analyses could not be performed due to discrepancies between studies in results reporting, test stimulus and recording parameters.ConclusionsAlthough abnormal results on auditory and vestibular tests were noted in PwMS, specific effects of MS on the audio-vestibular system could not be determined due to the heterogeneity between studies that restricted the ability to conduct any quantitative analyses. Further research with consistent reporting, consistent stimulus and consistent recording parameters is needed in order to quantify the effects of MS on the auditory and vestibular systems.PROSPERO registration numberCRD42020180094.

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“…Wiener-Vacher et al (2019) gave various oculomotor tasks before and after orthoptic vergence training to children who had dizziness with vergence disorders and found that their orthoptic and oculomotor parameters improved significantly after the training. Degirmenci et al (2010) performed tests including tracking, saccade, optokinetic, gaze, positional, and Dix-Hallpike tests on patients with vertigo and/or other problems related with equilibrium caused by relapsing-remitting multiple sclerosis (RRMS) and found electronystagmographical characteristics sensitive to detecting the vestibular system involvement in RRMS patients. Hunfalvay et al (2019) carried out research focused on people with different severities of traumatic brain injury (TBI) as well as asymptomatic controls.…”

Section: Introductionmentioning

confidence: 99%

Disease Classification Based on Eye Movement Features With Decision Tree and Random Forest

Mao

Liu

et al. 2020

Front. Neurosci.

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Medical research shows that eye movement disorders are related to many kinds of neurological diseases. Eye movement characteristics can be used as biomarkers of Parkinson's disease, Alzheimer's disease (AD), schizophrenia, and other diseases. However, due to the unknown medical mechanism of some diseases, it is difficult to establish an intuitive correspondence between eye movement characteristics and diseases. In this paper, we propose a disease classification method based on decision tree and random forest (RF). First, a variety of experimental schemes are designed to obtain eye movement images, and information such as pupil position and area is extracted as original features. Second, with the original features as training samples, the long short-term memory (LSTM) network is used to build classifiers, and the classification results of the samples are regarded as the evolutionary features. After that, multiple decision trees are built according to the C4.5 rules based on the evolutionary features. Finally, a RF is constructed with these decision trees, and the results of disease classification are determined by voting. Experiments show that the RF method has good robustness and its classification accuracy is significantly better than the performance of previous classifiers. This study shows that the application of advanced artificial intelligence (AI) technology in the pathological analysis of eye movement has obvious advantages and good prospects.

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Clinical and electronystagmographical evaluation of vestibular symptoms in relapsing remitting multiple sclerosis

Abstract: ENG is sensitive in detecting the vestibular system involvement in RRMS patients if all subtests are performed and evaluated in detail with clinical symptoms and signs.

Cited by 11 publications

References 13 publications

Evaluation of brainstem involvement in multiple sclerosis

Evaluation of brainstem involvement in multiple sclerosis

Effects of multiple sclerosis on the audio-vestibular system: a systematic review

Disease Classification Based on Eye Movement Features With Decision Tree and Random Forest

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