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使用脑磁图对视觉运动网络中的跨频相位-幅度耦合进行研究。

Investigation of cross-frequency phase-amplitude coupling in visuomotor networks using magnetoencephalography.

作者信息

Soto Juan L P, Jerbi Karim

机构信息

Telecommunications and Control Engineering Department, University of Sao Paulo, Sao Paulo, Brazil.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1550-3. doi: 10.1109/EMBC.2012.6346238.

Abstract

Cross-frequency phase-amplitude coupling (PAC) within large neuronal populations is hypothesized to play a functional role in information processing in a range of cognitive tasks. The goal of our study was to examine the putative role of PAC in the brain networks that mediate continuous visuomotor control. We estimated the cortical activity that mediates visuomotor control via magnetoencephalography (MEG) recordings in 15 healthy volunteers. We extracted the cortical signal amplitudes and phases at the frequencies of interest by means of band-pass filtering followed by Hilbert transforms. To quantify task-related changes of PAC, we implemented a technique based on the Kullback-Leibler divergence. The choice of this technique among others was based on the results of comparisons performed on simulations of coupled sources in various noise conditions. The application of PAC to the MEG data revealed a significant task-related increase in coupling between the phase of delta (2-5 Hz) and the amplitude of high-gamma (60-90 Hz) oscillations in the occipital and parietal cortices as well as in the cerebellum. Remarkably, when comparing PAC in the early trials to PAC recorded towards the end of the experiment we found a significant increase in delta-high-gamma coupling over time in the superior parietal lobule, possibly reflecting visuomotor adaptation processes. Our results suggest that, in addition to power modulations, cross-frequency interactions play a key role in visuomotor behavior.

摘要

大神经元群体内的跨频率相位-振幅耦合(PAC)被认为在一系列认知任务的信息处理中发挥功能性作用。我们研究的目的是检验PAC在介导连续视觉运动控制的脑网络中的假定作用。我们通过对15名健康志愿者进行脑磁图(MEG)记录,估计介导视觉运动控制的皮层活动。我们通过带通滤波然后进行希尔伯特变换,提取感兴趣频率下的皮层信号振幅和相位。为了量化与任务相关的PAC变化,我们实施了一种基于库尔贝克-莱布勒散度的技术。在各种噪声条件下对耦合源模拟进行比较的结果是选择该技术的依据。将PAC应用于MEG数据显示,枕叶和顶叶皮层以及小脑中,δ波(2-5赫兹)相位与高γ波(60-90赫兹)振荡振幅之间的耦合在任务相关方面显著增加。值得注意的是,当将早期试验中的PAC与实验接近尾声时记录的PAC进行比较时,我们发现上顶叶小叶中δ-高γ耦合随时间显著增加,这可能反映了视觉运动适应过程。我们的结果表明,除了功率调制外,跨频率相互作用在视觉运动行为中起关键作用。

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