The degeneration of upper and lower motor neuron from the perspective of clinical neurological examination and MRI-electromyography manifold detection in amyotrophic lateral sclerosis

  • Jiaoting Jin
  • , Fangfang Hu
  • , Qiuli Zhang
  • , Qiaoyi Chen
  • , Haining Li
  • , Xing Qin
  • , Rui Ji
  • , Li Kang
  • , Yonghui Dang
  • , Jingxia Dang

Research output: Contribution to journalArticlepeer-review

Abstract

Objective The aim of this study was to explore the upper motor neurons (UMN) and lower motor neurons (LMN) degeneration in amyotrophic lateral sclerosis (ALS) from the perspective of the clinical neurological examination and MRI-electromyography manifold detection, respectively. Methods The clinical data, cortical thickness of corresponding areas in different body regions in MRI and electromyography data were collected from 108 classical ALS patients. Results The kappa value of UMN and LMN involvement signs in the bulbar region (0.31) was higher than that of the left upper limb (-0.13), right upper limb (-0.27), left lower limb (-0.05) and right lower limb (-0.08). The cortical thickness in the positive LMN damage group was thinner than that of the negative LMN damage group in the left head-face area (P < 0.05; Cohen's d = 0.84); however, cortical thickness showed no significant differences in the right head-face, bilateral tongue-larynx, upper-limb, trunk and lower-limb areas between LMN-damage-positive and LMN-damage-negative groups. Conclusion The degeneration of motor neuron could be independent through UMN and LMN levels. The degenerative process was not only confined to UMN and LMN levels but can also expand to white matter fiber tracts. Thus, the degeneration of UMN and LMN might be independent of the motor system's three-dimensional anatomy.

Original languageEnglish
Pages (from-to)23-28
Number of pages6
JournalNeuroReport
Volume32
Issue number1
DOIs
StatePublished - 6 Jan 2021
Externally publishedYes

Keywords

  • amyotrophic lateral sclerosis
  • clinical neurological examination
  • cortical thickness
  • electromyography
  • lower motor neuron
  • regions of interest
  • upper motor neuron

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