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Neural circuits activated by error amplification and haptic guidance training techniques during performance of a timing-based motor task by healthy individuals

机译:通过误差放大和触觉引导训练技术激活的神经电路,在健康个体的性能上的性能下性能

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To promote motor learning, robotic devices have been used to improve subjects' performance by guiding desired movements (haptic guidance-HG) or by artificially increasing movement errors to foster a more rapid learning (error amplification-EA). To better understand the neurophysiological basis of motor learning, a few studies have evaluated brain regions activated during EA/HG, but none has compared both approaches. The goal of this study was to investigate using fMRI which brain networks were activated during a single training session of HG/EA in healthy adults learning to play a computerized pinball-like timing task. Subjects had to trigger a robotic device by flexing their wrist at the correct timing to activate a virtual flipper and hit a falling ball towards randomly positioned targets. During training with HG/EA, subjects' timing errors were decreased/increased, respectively, by the robotic device to delay or accelerate their wrist movement. The results showed that at the beginning of the training period with HG/EA, an error-detection network, including cerebellum and angular gyrus, was activated, consistent with subjects recognizing discrepancies between their intended actions and the actual movement timing. At the end of the training period, an error-detection network was still present for EA, while a memory consolidation/automatization network (caudate head and parahippocampal gyrus) was activated for HG. The results indicate that training movement with various kinds of robotic input relies on different brain networks. Better understanding the neurophysiological underpinnings of brain processes during HG/EA could prove useful for optimizing rehabilitative movement training for people with different patterns of brain damage.
机译:为了促进机器人学习,机器人设备已被用于通过引导所需的运动(触觉引导-HG)或通过人工增加运动误差来提高受试者的性能,以促进更快速的学习(误差放大-EA)。为了更好地了解电机学习的神经生理基础,一些研究已经评估了EA / HG期间激活的脑区,但没有比较这两种方法。本研究的目标是使用FMRI进行调查,该FMRI在健康成年人的HG / EA培训期间激活了脑网络,学习电脑的弹球状时序任务。受试者必须通过在正确的定时弯曲其手腕来触发机器人设备以激活虚拟鳍状肢并击中落下的球朝向随机定位的目标。在用HG / EA训练期间,受试者的定时误差分别由机器人装置延迟或加速其手腕运动而减少/增加。结果表明,在HG / EA的训练期开始时,激活了误差检测网络,包括小脑和角度转象,与识别其预期行动与实际运动时机之间的差异的受试者一致。在训练期结束时,EA仍然存在错误检测网络,而MGR的内存合并/自动化网络(尾部头部和PARAHIPPocampal)被激活。结果表明,具有各种机器人输入的训练运动依赖于不同的脑网络。更好地了解HG / EA期间脑过程的神经生理学基础可以证明对于优化具有不同脑损伤模式的人的康复运动训练有用。

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