Literature DB >> 27576580

Imbalance in multiple sclerosis and neuromyelitis optica: association with deep sensation disturbance.

Yutaka Demura1,2, Masako Kinoshita3, Osamu Fukuda1, Shouzou Nose1, Hitoshi Nakano4, Akira Juzu1, Nagako Murase5, Kenji Yamamoto4.   

Abstract

Abnormality in balance is one of the most important causes of gait disturbance which has a direct impact to disability and medical cost in multiple sclerosis (MS) and neuromyelitis optica (NMO). However, characteristics of imbalance in these two diseases have not been fully elucidated. The aim of this study was to evaluate the degree and features of imbalance using stabilography, the degree of deep sensation disturbance using tibial nerve somatosensory evoked potentials (SEP), and their association with clinical impairment, in patients with MS and NMO. Seven NMO patients and seven MS patients with balance disturbance were examined. The relationship among stabilography measurements representing the degree and features of imbalance, height-adjusted P38 peak latency of SEP, and neurological functional disability, were analyzed. Stabilography evaluation showed a significantly severer degree of imbalance in NMO than in MS. Romberg quotient of the patients with brainstem lesions was significantly larger than those without them. In all patients, length of excursion per second significantly correlated positively with anterio-posterior-axis power spectra at intermediate frequency band. In all patients and in NMO, P38 peak latency adjusted by height significantly correlated positively with anterio-posterior-axis power spectra at intermediate frequency band. These findings suggest that the degree of imbalance of MS and NMO possibly correlate with deep sensation disturbance, which could be evaluated by anterio-posterior-axis power spectra at intermediate frequency band by stabilography. Severer imbalance in NMO than MS may be associated with the severe longitudinally extensive spinal cord lesions.

Entities:  

Keywords:  Clinical Neurophysiology; Equilibrium; Multiple sclerosis; Neuromyelitis optica; Somatosensory evoked potentials; Stabilography

Mesh:

Year:  2016        PMID: 27576580     DOI: 10.1007/s10072-016-2697-4

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  25 in total

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Journal:  Neurology       Date:  2006-05-23       Impact factor: 9.910

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Authors:  Michelle H Cameron; Fay B Horak; Robert R Herndon; Dennis Bourdette
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  1 in total

1.  Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling.

Authors:  Shui-Hua Wang; Chaosheng Tang; Junding Sun; Jingyuan Yang; Chenxi Huang; Preetha Phillips; Yu-Dong Zhang
Journal:  Front Neurosci       Date:  2018-11-08       Impact factor: 4.677

  1 in total

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