Effects of Training with a Brain–Computer Interface-Controlled Robot on Rehabilitation Outcome in Patients with Subacute Stroke: A Randomized Controlled Trial

  • Chen Guang Zhao
  • , Fen Ju
  • , Wei Sun
  • , Shan Jiang
  • , Xiao Xi
  • , Hong Wang
  • , Xiao Long Sun
  • , Min Li
  • , Jun Xie
  • , Kai Zhang
  • , Guang Hua Xu
  • , Si Cong Zhang
  • , Xiang Mou
  • , Hua Yuan

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Introduction: Stroke is always associated with a difficult functional recovery process. A brain–computer interface (BCI) is a technology which provides a direct connection between the human brain and external devices. The primary aim of this study was to determine whether training with a BCI-controlled robot can improve functions in patients with subacute stroke. Methods: Subacute stroke patients aged 32–68 years with a course of 2 weeks to 3 months were randomly assigned to the BCI group or to the sham group for a 4-week course. The primary outcome measures were Loewenstein Occupational Therapy Cognitive Assessment (LOCTA) and Fugl-Meyer Assessment for Lower Extremity (FMA-LE). Secondary outcome measures included Fugl-Meyer Assessment for Balance (FMA-B), Functional Ambulation Category (FAC), Modified Barthel Index (MBI), serum brain-derived neurotrophic factor (BDNF) levels and motor-evoked potential (MEP). Results: A total of 28 patients completed the study. Both groups showed a significant increase in mean LOCTA (sham: P < 0.001, Cohen’s d = − 2.972; BCI: P < 0.001, Cohen’s d = − 4.266) and FMA-LE (sham: P < 0.001, Cohen’s d = − 3.178; BCI: P < 0.001, Cohen’s d = − 3.063) scores. The LOCTA scores in the BCI group were 14.89% higher than in the sham group (P = 0.049, Cohen’s d = − 0.580). There were no significant differences between the two groups in terms of FMA-B (P = 0.363, Cohen’s d = − 0.252), FAC (P = 0.363), or MBI (P = 0.493, Cohen’s d = − 0.188) scores. The serum levels of BDNF were significantly higher within the BCI group (P < 0.001, Cohen’s d = − 1.167), and the MEP latency decreased by 3.75% and 4.71% in the sham and BCI groups, respectively. Conclusion: Training with a BCI-controlled robot combined with traditional physiotherapy promotes cognitive function recovery, and enhances motor functions of the lower extremity in patients with subacute stroke. These patients also showed increased secretion of BDNF. Trial Registration: Chinese clinical trial registry: ChiCTR-INR-17012874.

Original languageEnglish
Pages (from-to)679-695
Number of pages17
JournalNeurology and Therapy
Volume11
Issue number2
DOIs
StatePublished - Jun 2022

Keywords

  • Brain–computer interface
  • Randomized controlled trial
  • Rehabilitation
  • Robot training
  • Stroke

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