Iwatsuki Katsuyuki, Hoshiyama Minoru, Oyama Shintaro, Shimoda Shingo, Hirata Hitoshi
Department of Hand Surgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
Brain and Mind Research Center, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
NeuroRehabilitation. 2019;44(1):19-23. doi: 10.3233/NRE-182514.
The effect of tacit learning systems (TLSs) on brain plasticity are as of yet unknown. We developed a myoelectric hand prosthesis equipped with a TLS to auto-regulate forearm rotation in response to upper extremity movement patterns.
To evaluate the effects of tacit learning on the central nervous system during a prosthesis control exercise.
The experienced prosthetic user performed a series of simple mechanical tasks with the TLS inactivated (the baseline condition) and then with it activated (the enhanced, experimental condition). The process was video recorded. Subsequently, the participant viewed video recordings of each condition (baseline and experimental) during magnetoencephalography and electroencephalography recordings.
Stronger connections between the motor area and other cortical areas were observed, as indicated by a significant increase in coherence values.
Integration and interoperability may underlie tacit learning and promote motor function-related adaptive neuroplasticity.
内隐学习系统（TLSs）对大脑可塑性的影响尚不明确。我们开发了一种配备TLS的肌电假手，以根据上肢运动模式自动调节前臂旋转。
评估在假肢控制练习期间内隐学习对中枢神经系统的影响。
有经验的假肢使用者在TLS失活（基线条件）和激活（增强的实验条件）的情况下执行一系列简单的机械任务。过程进行了视频记录。随后，参与者在脑磁图和脑电图记录期间观看每种条件（基线和实验）的视频记录。
连贯性值显著增加，表明运动区域与其他皮质区域之间的连接更强。
整合与互操作性可能是内隐学习的基础，并促进与运动功能相关的适应性神经可塑性。
