Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients
Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients
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DOI：
10.1109/tbme.2016.2541084
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发表时间：
2017-01-01
影响因子：
4.6
通讯作者：
Minguez, Javier
中科院分区：
文献类型：
--
作者：
Antelis, Javier M.;Montesano, Luis;Minguez, Javier
目标：中风幸存者通常需要运动康复治疗，因为由于病变，他们完全或部分丧失肢体活动能力。脑机接口技术提供了解码的可能性，试图移动瘫痪肢体在真实的时间，以改善现有的运动康复。然而，脑机接口实际应用于中风幸存者的一个主要困难是，编码运动状态的脑节律可能会因病变而减弱。本研究旨在探讨中风幸存者从未受影响的对侧运动皮层的脑电图信号中自然尝试移动瘫痪上肢的连续解码。结果如下：实验进行了6个严重影响的慢性中风患者执行/尝试自我选择的未受影响/受影响的上肢达到运动的帮助。脑电图（EEG）分析显示，当移动对侧未受影响的手臂和试图移动同侧受影响的手臂时，未受伤的运动皮层上有显著的皮层激活。使用这种活动，在6名参与者中，6名参与者在未受影响的肢体运动中获得了显著的连续解码，在4名参与者中，试图移动受影响的肢体。结论：这项研究表明，它是可能的，以构建一个解码器的尝试移动瘫痪手臂的慢性中风患者使用健康的对侧运动皮层的EEG活动。重要性：这种解码模型可以为中风幸存者提供一种自然，简单和直观的方式来实现对BCI或机器人辅助康复设备的控制。
Goal: Stroke survivors usually require motor rehabilitation therapy as, due to the lesion, they completely or partially loss mobility in the limbs. Brain-computer interface technology offers the possibility of decoding the attempt to move paretic limbs in real time to improve existing motor rehabilitation. However, a major difficulty for the practical application of the BCI to stroke survivors is that the brain rhythms that encode the motor states might be diminished due to the lesion. This study investigates the continuous decoding of natural attempt to move the paralyzed upper limb in stroke survivors from electroencephalographic signals of the unaffected contralesional motor cortex. Results: Experiments were carried out with the aid of six severely affected chronic stroke patients performing/attempting self-selected reaching movements of the unaffected/affected upper limb. The electroencephalographic (EEG) analysis showed significant cortical activation on the uninjured motor cortex when moving the contralateral unaffected arm and in the attempt tomove the ipsilateral affected arm. Using this activity, significant continuous decoding of movement was obtained in six out of six participants in movements of the unaffected limb, and in four out of six participants in the attempt to move the affected limb. Con-clusion: This study showed that it is possible to construct a decoder of the attempt to move the paretic arm for chronic stroke patients using the EEG activity of the healthy contralesional motor cortex. Significance: This decoding model could provide to stroke survivors with a natural, easy, and intuitive way to achieve control of BCIs or robot-assisted rehabilitation devices.