Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke.
Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke.
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DOI：
10.1038/s41598-022-16483-x
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发表时间：
2022-07-29
影响因子：
4.6
通讯作者：
Atashzar, S. Farokh
中科院分区：
文献类型：
--
作者：
O'Keeffe, Rory;Shirazi, Seyed Yahya;Bilaloglu, Seda;Jahed, Shayan;Bighamian, Ramin;Raghavan, Preeti;Atashzar, S. Farokh
感觉信息对运动协调至关重要。然而，理解感觉运动整合是复杂的，特别是在中枢神经系统受损的个体中。这项研究提出了一种新的功能性生物标志物，基于肌肉连接的非线性网络图，称为InfoMuNet，来量化感觉信息在运动表现中的作用。32名中风后偏瘫患者进行了一项抓举任务，同时用表面肌电图测量了他们每只手臂8块肌肉的肌肉活动。受试者在用受影响较小的手完成任务之前和之后，用受影响的手完成任务。这项工作首次表明，InfoMuNet在接触到受影响较小的一侧的感觉信息后，对受影响的手的功能性肌肉连通性的变化进行了强有力的量化。> 90%的受试者符合这种感官暴露所带来的改善。InfoMuNet在受试者水平上也显示出对触觉、动觉和视觉输入改变的高度敏感性，突出了其在精确康复干预中的潜在用途。
Sensory information is critical for motor coordination. However, understanding sensorimotor integration is complicated, especially in individuals with impairment due to injury to the central nervous system. This research presents a novel functional biomarker, based on a nonlinear network graph of muscle connectivity, called InfoMuNet, to quantify the role of sensory information on motor performance. Thirty-two individuals with post-stroke hemiparesis performed a grasp-and-lift task, while their muscle activity from 8 muscles in each arm was measured using surface electromyography. Subjects performed the task with their affected hand before and after sensory exposure to the task performed with the less-affected hand. For the first time, this work shows that InfoMuNet robustly quantifies changes in functional muscle connectivity in the affected hand after exposure to sensory information from the less-affected side. > 90% of the subjects conformed with the improvement resulting from this sensory exposure. InfoMuNet also shows high sensitivity to tactile, kinesthetic, and visual input alterations at the subject level, highlighting its potential use in precision rehabilitation interventions.
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DOI：
10.1093/brain/aws150
发表时间：
2012-09
期刊：
Brain : a journal of neurology
影响因子：
--
作者：
Fisher KM;Zaaimi B;Williams TL;Baker SN;Baker MR
通讯作者：
Baker MR
影响因子：
2.9
作者：
Boonstra TW
通讯作者：
Boonstra TW
影响因子：
4.6
作者：
Imperatori, Laura Sophie;Betta, Monica;Bernardi, Giulio
通讯作者：
Bernardi, Giulio
影响因子：
5.1
作者：
Huang HJ;Ferris DP
通讯作者：
Ferris DP
影响因子：
3.4
作者：
Guertin PA
通讯作者：
Guertin PA