Department of Physics, University of Auckland, Private Bag 92019, Auckland, New Zealand,
Cogn Neurodyn. 2007 Dec;1(4):327-40. doi: 10.1007/s11571-007-9024-y. Epub 2007 Aug 28.
The objective of this study was to test, in single subjects, the hypothesis that the signs of voluntary movement-related neural activity would first appear in the prefrontal region, then move to both the medial frontal and posterior parietal regions, progress to the medial primary motor area, lateralize to the contralateral primary motor area and finally involve the cerebellum (where feedback-initiated error signals are computed). Six subjects performed voluntary finger movements while DC coupled EEG was recorded from 64 scalp electrodes. Event-related potentials (ERPs) averaged on the movements were analysed both before and after independent component analysis (ICA) combined with dipole source analysis (DSA) of the independent components. Both a simple topographic analysis of undecomposed ERPs and the ICA/DSA analysis suggested that the original hypothesis was inadequate. The major departure from its predictions was that, while activity over many brain regions did appear at the expected times, it also appeared at unexpected times. Overall, the results suggest that the neuroscientific 'standard model', in which neural activity occurs sequentially in a series of discrete local areas each specialized for a particular function, may reflect the true situation less well than models in which large areas of brain shift simultaneously into and out of common activity states.
本研究旨在通过单被试测试以下假设,即与自愿运动相关的神经活动的迹象首先出现在前额区域,然后移动到内侧额和后顶叶区域,进展到内侧初级运动区,向对侧初级运动区偏侧化,最后涉及小脑(在小脑计算反馈启动的错误信号)。六名被试在记录来自 64 个头皮电极的直流耦合 EEG 的同时进行自愿手指运动。对运动进行平均的事件相关电位 (ERP) 在独立成分分析 (ICA) 与独立成分的偶极子源分析 (DSA) 相结合之前和之后进行了分析。未经分解的 ERP 的简单地形分析和 ICA/DSA 分析均表明,原始假设不充分。与预测的主要偏离是,尽管许多大脑区域的活动确实在预期的时间出现,但也在意外的时间出现。总的来说,结果表明,神经科学的“标准模型”,其中神经活动按顺序发生在一系列专门用于特定功能的离散局部区域中,可能不如大脑的大面积区域同时进入和退出共同活动状态的模型更能反映真实情况。