腦中風是國人十大死亡原因之一，在台灣約有腦中風的病人約有二十萬人，雖然對於肢體活動在臨床已經有許多復健指標(如:格梅爾動作評量表Fugl-Meyer)。但是對於大腦卻沒有一個評估指標可以對運動神經網路進行評估。因此，本論文利用穩態運動神經律動，依據不同腦波頻帶，建立受試者在不同動作速率之下，大腦運動區腦波的變化指標。本論文選擇穩態運動進行研究，原因是重複性的穩態運動是一種結合時間默數與動作網路的運動，當執行快速運動時(short duration)，大腦會進入自主運動(automatic counting)的狀態，但是在執行比較長的時間間隔(long duration)運動時，大腦必須默數動作的時間，因此會有準備(preparation)與執行(execution)兩個部份，所以在執行長時間間隔的運動時，大腦需要付出比較多的能量已達成所需的動作。本研究藉由事件相關非同步/同步腦波律動(ERD/ERS)技術，量化在不同運動速率下的腦波律動反應。結果發現當正常受試者執行快速運動時，大腦alpha與beta頻帶的腦波能量都隨著運動速率上升而下降；對單側偏癱中風患者，患側手的大腦不論在執行快速與慢速運動，大腦的腦波能量都很高，而健側手的腦波則隨著運動速度上升而下降。因此可以得知患側手大腦沒有辦法讓快速運動進入自主運動的狀態，因此將來可能可以做為臨床中風病人復健恢復的評估指標。

Stroke is one of the top ten causes of death in Taiwan. There are about two-hundred thousands of stroke patients in Taiwan. Although several motor recovery indexes, such as Fugel-Meyer assessment, have been established for stroke patients, however, direct motor recovery index estimated from brain activities was rarely reported. In this thesis, we analyzed neural oscillatory activities from repetitive finger movements and tried to build a motor recovery assessment indicator from electroencephalography (EEG) signals. Because repetitive movement requires the integration of internal time counting and motor neural networks, the execution efforts of human brain can reflect the recruitment of neural networks in performing different movement rates. In performing short-duration repetitive movements, the human brain goes into automatic timing mode which request lower cognitive efforts in executing fast movements. In contrast, more cognitive load is required for slow movement owing to the involvement of self-counting for precise control of movement timing. We found the movement-modulated changes in alpha and beta oscillatory activities were decreased with the increase of movement rates in finger lifting of normal subjects and the non-paretic hands in stroke patients, whereas no difference was found in the paretic-hand movements at different rates in stroke patients. The significant difference in oscillatory activities between movements of good hands and paretic hands could imply the requirement of higher cognitive efforts to perform fast repetitive movements in paretic hands. The sensorimotor oscillatory response in fast repetitive movements could be a possible indicator to probe the recovery of motor function in stroke patients.

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