Literature DB >> 32056031

"Remind-to-Move" Treatment Enhanced Activation of the Primary Motor Cortex in Patients with Stroke.

Zhongfei Bai1,2,3, Kenneth N K Fong4.   

Abstract

"Remind-to-Move" (RTM) has been developed and used as a new treatment for rehabilitation of upper extremity functions in patients with hemiplegia. This study aimed to investigate the cortical activation patterns using functional near-infrared spectroscopic topography for patients with chronic stroke receiving RTM by comparing with their healthy counterparts. Twelve patients with right hemispheric stroke and 15 healthy adults participated in this study. All participants were instructed to completed three experimental conditions-RTM, Move without reminding (Sham), and Remind with No-move (RNoM). In patients with stroke, RTM elicited higher level of activation than the Sham in the contralateral somatosensory association cortex, primary motor cortex, primary somatosensory cortex and the dorsolateral prefrontal cortex, which has been found in healthy participants. However, effects of RTM were robust and more widely distributed in healthy participants, comparing to patients with stroke, comparatively RNoM showed no significant higher activation than the baseline in those areas in both populations. RTM enhances the recruitment of contralateral primary motor cortex and this effect appears to be associated with increased attention allocation towards moving hands upon tactile stimulation in the form of vibration. The RTM treatment is useful to patients with stroke.

Entities:  

Keywords:  Hemiparetic upper extremity; Movements with reminder; Primary motor cortex; Stroke; fNIRS

Year:  2020        PMID: 32056031     DOI: 10.1007/s10548-020-00756-7

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  2 in total

1.  Determining Factors that Influence Adoption of New Post-Stroke Sensorimotor Rehabilitation Devices in the USA.

Authors:  Corey M Morrow; Emily Johnson; Kit N Simpson; Na Jin Seo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-06-30       Impact factor: 4.528

2.  Rehabilitation Treatment of Motor Dysfunction Patients Based on Deep Learning Brain-Computer Interface Technology.

Authors:  Huihai Wang; Qinglun Su; Zhenzhuang Yan; Fei Lu; Qin Zhao; Zhen Liu; Fang Zhou
Journal:  Front Neurosci       Date:  2020-10-22       Impact factor: 4.677

  2 in total

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