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振荡动力学跟踪人类皮层中运动性能的改善。

Oscillatory dynamics track motor performance improvement in human cortex.

作者信息

Dürschmid Stefan, Quandt Fanny, Krämer Ulrike M, Hinrichs Hermann, Heinze Hans-Jochen, Schulz Reinhard, Pannek Heinz, Chang Edward F, Knight Robert T

机构信息

Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany ; Leibniz Institute of Neurobiology (LIN), Magdeburg, Germany.

Leibniz Institute of Neurobiology (LIN), Magdeburg, Germany.

出版信息

PLoS One. 2014 Feb 27;9(2):e89576. doi: 10.1371/journal.pone.0089576. eCollection 2014.

Abstract

Improving performance in motor skill acquisition is proposed to be supported by tuning of neural networks. To address this issue we investigated changes of phase-amplitude cross-frequency coupling (paCFC) in neuronal networks during motor performance improvement. We recorded intracranially from subdural electrodes (electrocorticogram; ECoG) from 6 patients who learned 3 distinct motor tasks requiring coordination of finger movements with an external cue (serial response task, auditory motor coordination task, go/no-go). Performance improved in all subjects and all tasks during the first block and plateaued in subsequent blocks. Performance improvement was paralled by increasing neural changes in the trial-to-trial paCFC between theta ([Formula: see text]; 4-8 Hz) phase and high gamma (HG; 80-180 Hz) amplitude. Electrodes showing this covariation pattern (Pearson's r ranging up to .45) were located contralateral to the limb performing the task and were observed predominantly in motor brain regions. We observed stable paCFC when task performance asymptoted. Our results indicate that motor performance improvement is accompanied by adjustments in the dynamics and topology of neuronal network interactions in the [Formula: see text] and HG range. The location of the involved electrodes suggests that oscillatory dynamics in motor cortices support performance improvement with practice.

摘要

提高运动技能习得的表现被认为是由神经网络的调整来支持的。为了解决这个问题,我们研究了运动表现改善过程中神经元网络中相位 - 振幅交叉频率耦合(paCFC)的变化。我们从6名患者的硬膜下电极(皮层脑电图;ECoG)进行颅内记录,这些患者学习了3种不同的运动任务,这些任务需要根据外部提示协调手指运动(序列反应任务、听觉运动协调任务、停止信号任务)。在第一个阶段,所有受试者和所有任务的表现都有所提高,并在随后的阶段趋于平稳。表现的提高与试验间paCFC中theta([公式:见正文];4 - 8Hz)相位和高伽马(HG;80 - 180Hz)振幅之间神经变化的增加并行。显示这种协变模式(皮尔逊r值高达0.45)的电极位于执行任务肢体的对侧,并且主要在运动脑区观察到。当任务表现达到渐近线时,我们观察到稳定的paCFC。我们的结果表明,运动表现的提高伴随着[公式:见正文]和HG范围内神经元网络相互作用的动力学和拓扑结构的调整。所涉及电极的位置表明,运动皮层中的振荡动力学通过练习支持表现的提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ad/3937444/f5170b803dd8/pone.0089576.g001.jpg

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