Efficacy of brain-computer interface training with motor imagery-contingent feedback in improving upper limb function and neuroplasticity among persons with chronic stroke: a double-blinded, parallel-group, randomized controlled trial

被引:1
作者
Kim, Myeong Sun [1 ,2 ]
Park, Hyunju [1 ,2 ]
Kwon, Ilho [1 ,2 ]
An, Kwang-Ok [3 ]
Kim, Hayeon [3 ]
Park, Gyulee [1 ,2 ]
Hyung, Wooseok [4 ]
Im, Chang-Hwan [5 ]
Shin, Joon-Ho [1 ,6 ,7 ]
机构
[1] Minist Hlth & Welf, Translat Res Ctr Rehabil Robots, Natl Rehabil Ctr, Seoul, South Korea
[2] Minist Hlth & Welf, Dept Rehabil & Assist Technol, Rehabil Res Inst, Natl Rehabil Ctr, Seoul, South Korea
[3] Minist Hlth & Welf, Dept Healthcare & Publ Hlth Res, Rehabil Res Inst, Natl Rehabil Ctr, Seoul, South Korea
[4] Hanyang Univ, Dept Artificial Intelligence, Seoul, South Korea
[5] Hanyang Univ, Dept Biomed Engn, Seoul, South Korea
[6] Minist Hlth & Welf, Dept Rehabil Med, Natl Rehabil Ctr, Seoul, South Korea
[7] Natl Rehabil Ctr, Dept Rehabil Med, Seoul 01022, South Korea
关键词
Stroke; Rehabilitation; Brain-machine interface; Brain-computer interface; Randomized clinical trial; PARTIAL DIRECTED COHERENCE; REHABILITATION; SCALE;
D O I
10.1186/s12984-024-01535-2
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
BackgroundBrain-computer interface (BCI) technology can enhance neural plasticity and motor recovery in persons with stroke. However, the effects of BCI training with motor imagery (MI)-contingent feedback versus MI-independent feedback remain unclear. This study aimed to investigate whether the contingent connection between MI-induced brain activity and feedback influences functional and neural plasticity outcomes. We hypothesized that BCI training, with MI-contingent feedback, would result in greater improvements in upper limb function and neural plasticity compared to BCI training, with MI-independent feedback.MethodsThis randomized controlled trial included persons with chronic stroke who underwent BCI training involving functional electrical stimulation feedback on the affected wrist extensor. Primary outcomes included the Medical Research Council (MRC) scale score for muscle strength in the wrist extensor (MRC-WE) and active range of motion in wrist extension (AROM-WE). Resting-state electroencephalogram recordings were used to assess neural plasticity.ResultsCompared to the MI-independent feedback BCI group, the MI-contingent feedback BCI group showed significantly greater improvements in MRC-WE scores (mean difference = 0.52, 95% CI = 0.03-1.00, p = 0.036) and demonstrated increased AROM-WE at 4 weeks post-intervention (p = 0.019). Enhanced functional connectivity in the affected hemisphere was observed in the MI-contingent feedback BCI group, correlating with MRC-WE and Fugl-Meyer assessment-distal scores. Improvements were also observed in the unaffected hemisphere's functional connectivity.ConclusionsBCI training with MI-contingent feedback is more effective than MI-independent feedback in improving AROM-WE, MRC, and neural plasticity in individuals with chronic stroke. BCI technology could be a valuable addition to conventional rehabilitation for stroke survivors, enhancing recovery outcomes.Trial registrationCRIS (KCT0009013).
引用
收藏
页数:13
相关论文
共 39 条
  • [1] Ang Kai Keng, 2014, Front Neuroeng, V7, P30, DOI 10.3389/fneng.2014.00030
  • [2] Assessing cortical functional connectivity by partial directed coherence:: Simulations and application to real data
    Astolfi, Laura
    Cincotti, Febo
    Mattia, Donatella
    Marciani, M. G.
    Baccala, Luis A.
    Fallani, Fabrizio de Vico
    Salinari, Serenella
    Ursino, Mauro
    Zavaglia, Melissa
    Babiloni, Fabio
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2006, 53 (09) : 1802 - 1812
  • [3] Partial directed coherence:: a new concept in neural structure determination
    Baccalá, LA
    Sameshima, K
    [J]. BIOLOGICAL CYBERNETICS, 2001, 84 (06) : 463 - 474
  • [4] Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis
    Bai, Zhongfei
    Fong, Kenneth N. K.
    Zhang, Jack Jiaqi
    Chan, Josephine
    Ting, K. H.
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2020, 17 (01)
  • [5] Repeated Measures Correlation
    Bakdash, Jonathan Z.
    Marusich, Laura R.
    [J]. FRONTIERS IN PSYCHOLOGY, 2017, 8
  • [6] Cortical excitability changes following grasping exercise augmented with electrical stimulation
    Barsi, Gergely I.
    Popovic, Dejan B.
    Tarkka, Ina M.
    Sinkjaer, Thomas
    Grey, Michael J.
    [J]. EXPERIMENTAL BRAIN RESEARCH, 2008, 191 (01) : 57 - 66
  • [7] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [8] Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
    Biasiucci, A.
    Leeb, R.
    Iturrate, I.
    Perdikis, S.
    Al-Khodairy, A.
    Corbet, T.
    Schnider, A.
    Schmidlin, T.
    Zhang, H.
    Bassolino, M.
    Viceic, D.
    Vuadens, P.
    Guggisberg, A. G.
    Millan, J. D. R.
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [9] Role of the contralesional hemisphere in post-stroke recovery of upper extremity motor function
    Buetefisch, Cathrin M.
    [J]. FRONTIERS IN NEUROLOGY, 2015, 6
  • [10] Comparative analysis of default mode networks in major psychiatric disorders using resting-state EEG
    Choi, Kang-Min
    Kim, Jeong-Youn
    Kim, Yong-Wook
    Han, Jung-Won
    Im, Chang-Hwan
    Lee, Seung-Hwan
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)