Effect of proprioceptive stimulation using a soft robotic glove on motor activation and brain connectivity in stroke survivors

被引:5
|
作者
Nasrallah, Fatima A. [1 ,2 ]
Mohamed, Abdalla Z. [1 ,3 ]
Yap, Hong Kai [4 ]
Lai, Hwa Sen [5 ,6 ]
Yeow, Chen-Hua [5 ,6 ]
Lim, Jeong Hoon [7 ]
机构
[1] Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
[2] Natl Univ Singapore, Clin Imaging Res Ctr, Singapore, Singapore
[3] Thompson Inst, Birtinya, Qld, Australia
[4] Roceso Technol, Singapore, Singapore
[5] Natl Univ Singapore, Fac Engn, Dept Biomed Engn, Singapore, Singapore
[6] Natl Univ Singapore, Fac Engn, Adv Robot Ctr, Singapore, Singapore
[7] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Med, Singapore 119228, Singapore
关键词
functional magnetic resonance imaging; soft wearable robotics; glove-assisted rehabilitation; resting state connectivity; proprioception; RECOVERY; CORTEX; REORGANIZATION; NETWORK; REPRESENTATION; EXCITABILITY; PERFORMANCE; IMPAIRMENT; MODULATION; PLASTICITY;
D O I
10.1088/1741-2552/ac456c
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Objective. Soft-robotic-assisted training may improve motor function during post-stroke recovery, but the underlying physiological changes are not clearly understood. We applied a single-session of intensive proprioceptive stimulation to stroke survivors using a soft robotic glove to delineate its short-term influence on brain functional activity and connectivity. Approach. In this study, we utilized task-based and resting-state functional magnetic resonance imaging (fMRI) to characterize the changes in different brain networks following a soft robotic intervention. Nine stroke patients with hemiplegic upper limb engaged in resting-state and motor-task fMRI. The motor tasks comprised two conditions: active movement of fingers (active task) and glove-assisted active movement using a robotic glove (glove-assisted task), both with visual instruction. Each task was performed using bilateral hands simultaneously or the affected hand only. The same set of experiments was repeated following a 30 min treatment of continuous passive motion (CPM) using a robotic glove. Main results. On simultaneous bimanual movement, increased activation of supplementary motor area (SMA) and primary motor area (M1) were observed after CPM treatment compared to the pre-treatment condition, both in active and glove-assisted task. However, when performing the tasks solely using the affected hand, the phenomena of increased activity were not observed either in active or glove-assisted task. The comparison of the resting-state fMRI between before and after CPM showed the connectivity of the supramarginal gyrus and SMA was increased in the somatosensory network and salience network. Significance. This study demonstrates how passive motion exercise activates M1 and SMA in the post-stroke brain. The effective proprioceptive motor integration seen in bimanual exercise in contrast to the unilateral affected hand exercise suggests that the unaffected hemisphere might reconfigure connectivity to supplement damaged neural networks in the affected hemisphere. The somatosensory modulation rendered by the intense proprioceptive stimulation would affect the motor learning process in stroke survivors.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Design and Preliminary Feasibility Study of a Soft Robotic Glove for Hand Function Assistance in Stroke Survivors
    Yap, Hong Kai
    Lim, Jeong Noon
    Nasrallah, Fatima
    Yeow, Chen-Hua
    [J]. FRONTIERS IN NEUROSCIENCE, 2017, 11
  • [2] Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke
    Cheng, Nicholas
    Phua, Kok Soon
    Lai, Hwa Sen
    Tam, Pui Kit
    Tang, Ka Yin
    Cheng, Kai Kei
    Yeow, Raye Chen-Hua
    Ang, Kai Keng
    Guan, Cuntai
    Lim, Jeong Hoon
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (12) : 3339 - 3351
  • [3] Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation
    Zhang, Ruoqing
    Feng, Shanshan
    Hu, Nan
    Low, Shunkang
    Li, Meng
    Chen, Xiaogang
    Cui, Hongyan
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (07) : 4194 - 4203
  • [4] The Effect of Transcranial Electrical Stimulation on the Brain Connectivity of Motor Imagery
    Peng, Maoqin
    Lai, Danwei
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2021, 168 : S231 - S232
  • [5] The effect of a wearable soft-robotic glove on motor function and functional performance of older adults
    Radder, Bob
    Prange-Lasonder, Gerdienke B.
    Kottink, Anke I. R.
    Holmberg, Johnny
    Sletta, Kristin
    Van Dijk, Manon
    Meyer, Thomas
    Buurke, Jaap H.
    Rietman, Johan S.
    [J]. ASSISTIVE TECHNOLOGY, 2020, 32 (01) : 9 - 15
  • [6] Effects of a Soft Robotic Glove using a High Repetition Protocol in Chronic Stroke: A Pilot Study
    Nuckols, Kristin
    Hohimer, Cameron J.
    Glover, Christina
    de Lucena, Diogo S.
    Moyo, Will
    Wagner, Diana
    Cloutier, Alison
    Lin, David J.
    Walsh, Conor J.
    [J]. 2020 8TH IEEE RAS/EMBS INTERNATIONAL CONFERENCE FOR BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), 2020, : 428 - 433
  • [7] Functional connectivity of brain associated with passive range of motion exercise: Proprioceptive input promoting motor activation?
    Nasrallah, Fatima A.
    Mohamed, Abdalla Z.
    Campbell, Megan E. J.
    Yap, Hong Kai
    Yeow, Chen-Hua
    Lim, Jeong Hoon
    [J]. NEUROIMAGE, 2019, 202
  • [8] Soft Robotic Glove with Alpha Band Brain Computer Interface for Post-Stroke Hand Function Rehabilitation
    Li, Xiaodong
    Wang, Junlin
    Cao, Xiang
    Huang, Wei
    Hu, Yong
    [J]. 2022 14TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON 2022), 2022,
  • [9] Design and Preliminary Feasibility Study of a Soft Robotic Glove for Hand Function Assistance in Stroke Survivors (vol 11, 547, 2017)
    Yap, Hong Kai
    Lim, Jeong Hoon
    Nasrallah, Fatima
    Yeow, Chen-Hua
    [J]. FRONTIERS IN NEUROSCIENCE, 2018, 12
  • [10] The effect of prolonged use of a wearable soft-robotic glove post stroke - a proof-of-principle
    van Ommeren, A. L.
    Radder, B.
    Buurke, J. H.
    Kottink, A. I. R.
    Holmberg, J.
    Sletta, K.
    Prange-Lasonder, G. B.
    Rietman, J. S.
    [J]. 2018 7TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB2018), 2018, : 445 - 449