功能性电刺激对运动想象皮层活动的影响研究
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摘要
脑卒中是现代社会运动功能障碍的首要诱因。针对传统被动强化肢体运动康复训练手段单一及训练策略缺乏客观评价参数指导等关键问题,设计了右上肢运动想象融合不同强度功能性电刺激(阈上与阈下及无刺激)的实验任务范式,17名年轻健康右利手被试参与各项任务实验。脑电时频特征及统计学结果显示:刺激与无刺激模式间C3/C4导联α频带能量及CPz导联β频带能量存在显著性统计差异;阈上刺激与阈下刺激α频带能量仅在辅助运动皮层存在显著的激活差异。以上结果初步可证实,MI结合FES的康复训练模式更有助于激活运动皮层;可推论出FES作用能够强化包括辅助和初级运动皮层、感觉运动皮层在内的α节律及感觉运动皮层的β节律皮层神经活动。
Stroke is the leading cause of motor dysfunction in modern society. Aiming at the key problems that the means of traditional rehabilitation training of passive intensive limb motion is relatively simple, the mechanism for recovery is unclear and the training strategy lacks guidance with objective evaluation indexes, an experiment task canonical form of right upper limb motor imagery fusing functional electrical stimulation with different intensity(including supraliminal and subliminal stimulation and non-stimulation) was designed. Seventeen right-handed healthy young subjects were recruited to participate in various experiment tasks. Electroencephalogram time-frequency features and statistical results show that there are significance statistic differences in the energies of alpha band at C3/C4 leads and beta band at CPz lead between the stimulation and non-stimulation modes, and there is significant activation difference in the energy at alpha band only at supplementary motor cortex in supraliminal and subliminal stimulation modes. The above results preliminarily prove that the rehabilitation training mode of motor imagery combining with FES is more conducive to motor cortex activation, and it may be deduced that FES could enhance the cortex neural activities of alpha rhythm at supplementary motor cortex, primary motor cortex and sensorimotor cortex, as well as the cortex neural activities of beta rhythm at sensorimotor cortex.
Stroke is the leading cause of motor dysfunction in modern society. Aiming at the key problems that the means of traditional rehabilitation training of passive intensive limb motion is relatively simple, the mechanism for recovery is unclear and the training strategy lacks guidance with objective evaluation indexes, an experiment task canonical form of right upper limb motor imagery fusing functional electrical stimulation with different intensity(including supraliminal and subliminal stimulation and non-stimulation) was designed. Seventeen right-handed healthy young subjects were recruited to participate in various experiment tasks. Electroencephalogram time-frequency features and statistical results show that there are significance statistic differences in the energies of alpha band at C3/C4 leads and beta band at CPz lead between the stimulation and non-stimulation modes, and there is significant activation difference in the energy at alpha band only at supplementary motor cortex in supraliminal and subliminal stimulation modes. The above results preliminarily prove that the rehabilitation training mode of motor imagery combining with FES is more conducive to motor cortex activation, and it may be deduced that FES could enhance the cortex neural activities of alpha rhythm at supplementary motor cortex, primary motor cortex and sensorimotor cortex, as well as the cortex neural activities of beta rhythm at sensorimotor cortex.
引文
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[23]王聪,陆小锋,朱民耀,等.脑卒中手功能康复“球状抓握”定量评估算法[J].电子测量技术,2018,41(19):13-17.WANG C,LU X F,ZHU M Y,et al.Quantitative evaluation algorithm of“globular grasping”for hand functional recovery of stroke[J].Electronic Measurement Technology,2018,41(19):13-17.
[24]王力,张雄,仲雪飞,等.时频分析在语言想像脑机接口中的应用[J].东南大学学报(自然科学版),2014,44(6):1126-1130.WANG L,ZHANG X,ZHONG X F,et al.Application of time-frequency analysis in speech imagery based brain-computer interfaces[J].Journal Of Southeast University(Natural Science Edition),2014,44(6):1126-1130.
[25]SCHELL G R,STRICK P L.The origin of thalamic inputs to the arcuate premotor and supplementary motor areas[J].Journal of Neuroscience the Official Journal of the Society for Neuroscience,1984,4(2):539.
[2]周鹏,刘静,王春方,等.磁诱导对脑卒中患者运动康复的影响研究[J].电子测量与仪器学报,2017,31(8):1233-1238.ZHOU P,LIU J,WANG CH F,et al.Effect of magnetic induction on motion rehabilitation of stroke patient[J].Journal of Electronic Measurement and Instrumentation,2017,31(8):1233-1238.
[3]STEIN R B.Functional electrical stimulation after spinal cord injury[J].Computational Intelligence and Neuroscience,1999,16(8):713-717.
[4]CAURAUGH J H,KIM S.Two coupled motor recovery protocols are better than one:Electromyogram-triggered neuromuscular stimulation and bilateral movements[J].Stroke,2002,33(6):1589-1594.
[5]TAKAHASHI M,TAKEDA K,OTAKA Y,et al.Event related desynchronization-modulated functional electrical stimulation system for stroke rehabilitation:A feasibility study[J].Journal of Neuroengineering and Rehabilitation,2012(9):56.
[6]SASAKI K,MATSUNAGA T,TOMITE T,et al.Effect of electrical stimulation therapy on upper extremity functional recovery and cerebral cortical changes in patients with chronic hemiplegia[J].Biomedical Research,2012,33(2):89.
[7]STINEAR C M,BYBLOW W D.Predicting and accelerating motor recovery after stroke[J].Current Opinion in Neurology,2014,27(6):624-630.
[8]SONG AI G,ZENG H,YANG R H,et al.Fundamental problems in rehabilitation robots based on neuro-machine interaction[J].Instrumentation,2014,1(3):1-16.
[9]周福超,徐进,廖文.脑-机接口系统关键技术研究[J].国外电子测量技术,2018,37(5):68-72.ZHOU F CH,XU J,LIAO W.Research on key technologies of brain computer interface system[J].Foreign Electronic Measurement Technology,2018,37(5):68-72.
[10]DUMLU S,SAHIN D,VARDAR B,et al.Detecting the functionality of executive motor task and motor imagery through electroencephalography(EEG)[C].Signal Processing and Communications Applications Conference(SIU),2014:2126-2129.
[11]明东,王坤,何峰,等.想象动作诱发生理信息检测及其应用研究:回顾与展望[J].仪器仪表学报,2014,35(9):1921-1931.MING D,WANG K,HE F,et al.Study on physiological information detection and application evoked by motor imagery:Review and prospect[J].Chinese Journal of Scientific Instrument,2014,35(9):1921-1931.
[12]PARK J H.The effects of modified constraint-induced therapy combined with mental practice on patients with chronic stroke[J].Journal of Physical Therapy Science,2015,27(5):1585-1588.
[13]张琪涵.运动执行与运动想象大脑激活模式的比较[D].天津:天津师范大学,2016.ZHANG Q H.Comparison of motor execution and motor imagery brain activation patterns[D].Tianjin:Tianjin Normal University,2016.
[14]ARVANEH M,GUAN C,KAI K A,et al.Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement[J].Neural Computing and Applications,2017,28(11):3259-3272.
[15]李鹏海,王丽余,刘瀛涛,等.下肢运动想象和运动执行的EEG节律特性研究[J].仪器仪表学报,2018,39(3):207-214.LI P H,WANG L Y,LIU Y T,et al.Study on EEGrhythm features of lower limb motor imagery and motor performance[J].Chinese Journal of Scientific Instrument,2018,39(3):207-214.
[16]SAVIC'A,LONTIS R,MALESEVIC N,et al.Feasibility of an asynchronous event related desynchronization based brain switch for control of functional electrical stimulation[J].Biomedizinische Technik,2014,59(Suppl.1):209-212.
[17]SAUGAT B,MAUREEN C,MITSUHIRO H.A study on the effect of electrical stimulation as a user stimuli for motor imagery classification in brain-machine interface[J].European Journal of Translational Myology,2016,26(2):6041.
[18]BIASIUCCI A,LEEB R,ITURRATE I,et al.Brainactuated functional electrical stimulation elicits lasting arm motor recovery after stroke[J].Nature Communications,2018,9(1):2421.
[19]王仲朋,陈龙,何峰,等.面向康复与辅助应用的脑-机接口趋势与展望[J].仪器仪表学报,2017,38(6):1307-1318.WANG ZH P,CHEN L,HE F,et al.Development trend and prospect of BCI facing rehabilitation and assisting applications[J].Chinese Journal of Scientific Instrument,2017,38(6):1307-1318.
[20]HARA Y,OBAYASHI S,TSUJIUCHI K,et al.The effects of electromyography-controlled functional electrical stimulation on upper extremity function and cortical perfusion in stroke patients[J].Clinical Neurophysiology,2013,124(10):2008-2015.
[21]CLARE R,OSUAGWU B A,ALEKSANDRA V.Influence of motor imagination on cortical activation during functional electrical stimulation[J].Clinical Neurophysiology,2015,126(7):1360-1369.
[22]LIU Y,LI M,ZHANG H,et al.A tensor-based scheme for stroke patients'motor imagery EEG analysis in BCI-FES rehabilitation training[J].Journal of Neuroscience Methods,2014(222):238-249.
[23]王聪,陆小锋,朱民耀,等.脑卒中手功能康复“球状抓握”定量评估算法[J].电子测量技术,2018,41(19):13-17.WANG C,LU X F,ZHU M Y,et al.Quantitative evaluation algorithm of“globular grasping”for hand functional recovery of stroke[J].Electronic Measurement Technology,2018,41(19):13-17.
[24]王力,张雄,仲雪飞,等.时频分析在语言想像脑机接口中的应用[J].东南大学学报(自然科学版),2014,44(6):1126-1130.WANG L,ZHANG X,ZHONG X F,et al.Application of time-frequency analysis in speech imagery based brain-computer interfaces[J].Journal Of Southeast University(Natural Science Edition),2014,44(6):1126-1130.
[25]SCHELL G R,STRICK P L.The origin of thalamic inputs to the arcuate premotor and supplementary motor areas[J].Journal of Neuroscience the Official Journal of the Society for Neuroscience,1984,4(2):539.