Literature DB >> 26170248

Time-frequency patterns of somatosensory evoked potentials in predicting the location of spinal cord injury.

Yazhou Wang1, Hongyan Cui2, Jiangbo Pu2, K D K Luk1, Yong Hu3.   

Abstract

Somatosensory evoked potentials (SEPs) were found to exhibit different time-frequency patterns after acute spinal cord injury (SCI) at different levels, which implies that changes of these patterns may be associated with the location of SCI. Based on this finding, we propose the hypothesis that there are information regarding the location of SCI contained in the time-frequency patterns of SEPs. Purpose of the present study is to verify this hypothesis by comparing the time-frequency patterns of SEPs after acute and chronic SCI at the same level. The study examined the distribution patterns of the time-frequency components (TFCs) of SEPs before and after acute and chronic injury at C5 level in the spinal cord. Experimental results of SEP recordings from 24 adult rats show that there are common areas in the time-frequency distributions of SEPs. The TFCs from both the acute injury group and the chronic injury group are located in these areas with no TFCs from the normal group. Findings suggest that these areas are likely to possess information concerning the site of neurological deficits in spinal cord while independent of the modality of injury. This study provides basis for identification of stable time-frequency patterns of SEPs after different types and locations of SCI, which will guide the development of SEP-based SCI location detection.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Injury location; Somatosensory evoked potentials; Spinal cord injury; Time-frequency analysis

Mesh:

Year:  2015        PMID: 26170248     DOI: 10.1016/j.neulet.2015.07.002

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  3 in total

1.  Component analysis of somatosensory evoked potentials for identifying spinal cord injury location.

Authors:  Yazhou Wang; Guangsheng Li; Keith D K Luk; Yong Hu
Journal:  Sci Rep       Date:  2017-05-24       Impact factor: 4.379

2.  Identification of injury type using somatosensory and motor evoked potentials in a rat spinal cord injury model.

Authors:  Rong Li; Han-Lei Li; Hong-Yan Cui; Yong-Can Huang; Yong Hu
Journal:  Neural Regen Res       Date:  2023-02       Impact factor: 6.058

3.  Topography of Synchronization of Somatosensory Evoked Potentials Elicited by Stimulation of the Sciatic Nerve in Rat.

Authors:  Xuefeng Qu; Jiaqing Yan; Xiaoli Li; Peixun Zhang; Xianzeng Liu
Journal:  Front Comput Neurosci       Date:  2016-05-04       Impact factor: 2.380

  3 in total

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