Division of Functional and Restorative Neurosurgery, Tuebingen Neuro Campus, Eberhard Karls University Tuebingen, Germany.
Division of Functional and Restorative Neurosurgery, Tuebingen Neuro Campus, Eberhard Karls University Tuebingen, Germany.
Neuroimage. 2019 Jul 15;195:190-202. doi: 10.1016/j.neuroimage.2019.03.067. Epub 2019 Apr 2.
Volitional modulation and neurofeedback of sensorimotor oscillatory activity is currently being evaluated as a strategy to facilitate motor restoration following stroke. Knowledge on the interplay between this regional brain self-regulation, distributed network entrainment and handedness is, however, limited. In a randomized cross-over design, twenty-one healthy subjects (twelve right-handers [RH], nine left-handers [LH]) performed kinesthetic motor imagery of left (48 trials) and right finger extension (48 trials). A brain-machine interface turned event-related desynchronization in the beta frequency-band (16-22 Hz) during motor imagery into passive hand opening by a robotic orthosis. Thereby, every participant subsequently activated either the dominant (DH) or non-dominant hemisphere (NDH) to control contralateral hand opening. The task-related cortical networks were studied with electroencephalography. The magnitude of the induced oscillatory modulation range in the sensorimotor cortex was independent of both handedness (RH, LH) and hemispheric specialization (DH, NDH). However, the regional beta-band modulation was associated with different alpha-band networks in RH and LH: RH presented a stronger inter-hemispheric connectivity, while LH revealed a stronger intra-hemispheric interaction. Notably, these distinct network entrainments were independent of hemispheric specialization. In healthy subjects, sensorimotor beta-band activity can be robustly modulated by motor imagery and proprioceptive feedback in both hemispheres independent of handedness. However, right and left handers show different oscillatory entrainment of cortical alpha-band networks during neurofeedback. This finding may inform neurofeedback interventions in future to align them more precisely with the underlying physiology.
目前,人们正在评估通过意愿调节和感觉运动振荡活动的神经反馈来促进中风后运动功能的恢复。然而,关于这种区域大脑自我调节、分布式网络同步和利手之间的相互作用的知识有限。在一项随机交叉设计中,21 名健康受试者(12 名右利手[RH],9 名左利手[LH])进行了左手(48 次试验)和右手手指伸展(48 次试验)的动觉运动想象。脑机接口将运动想象过程中β频带(16-22 Hz)的事件相关去同步转化为机器人矫形器的被动手张开。由此,每个参与者随后激活优势(DH)或非优势半球(NDH)来控制对侧手张开。使用脑电图研究了与任务相关的皮质网络。感觉运动皮层中诱导的振荡调制幅度与利手(RH、LH)和半球专门化(DH、NDH)无关。然而,区域β波段调制与 RH 和 LH 中的不同α波段网络有关:RH 呈现出更强的半球间连接,而 LH 则表现出更强的半球内相互作用。值得注意的是,这些不同的网络同步与半球专门化无关。在健康受试者中,感觉运动β波段活动可以在两个半球中通过运动想象和本体感觉反馈进行稳健地调节,而与利手无关。然而,右利手和左利手在神经反馈期间显示出不同的皮质α波段网络的振荡同步。这一发现可能为未来的神经反馈干预提供信息,以使它们更精确地与潜在的生理学相匹配。