Resting state MEG oscillations show long-range temporal correlations of phase synchrony that break down during finger movement.
Resting state MEG oscillations show long-range temporal correlations of phase synchrony that break down during finger movement.
复制标题
DOI：
10.3389/fphys.2015.00183
复制
发表时间：
2015
影响因子：
4
通讯作者：
Farmer SF
中科院分区：
文献类型：
--
作者：
Botcharova M;Berthouze L;Brookes MJ;Barnes GR;Farmer SF
人类大脑解释和响应周围环境中多个时间尺度的能力表明，它的内部相互作用也必须能够在广泛的时间范围内运作。在本文中，我们利用最近推出的方法来表征MEG信号之间的相位差的变化率，并使用它来研究MEG记录之间的相位相互作用的时间结构，从左，右运动皮层在休息期间，并在手指敲击任务。我们使用希尔伯特变换来估计信号之间的相位差的瞬时波动。在确认存在的尺度不变性，我们估计赫斯特指数使用去趋势波动分析（DFA）。>0.5的指数指示信号中的长程时间相关性（LRTC）。我们发现LRTC存在于静息状态MEG数据的α/μ和β频段。我们证明，手指运动破坏LRTC的相关性，产生一个相位关系的结构类似于高斯白色噪声。通过将相同的分析应用于具有高斯白色噪声相位差的数据、来自空扫描仪的记录和相位混洗时间序列来验证结果。我们解释的结果，通过比较的结果与我们从早期的研究中，我们采用这种方法来表征仓本模型的振荡器在其亚临界，临界和超临界同步状态的相位关系。我们发现，从左，右运动皮层的静息状态脑磁图显示时刻到时刻的相位差波动与一个类似的时间结构的仓本振荡器系统之前，其临界耦合水平，和手指轻敲移动系统远离这个前临界状态走向一个更随机的状态。
The capacity of the human brain to interpret and respond to multiple temporal scales in its surroundings suggests that its internal interactions must also be able to operate over a broad temporal range. In this paper, we utilize a recently introduced method for characterizing the rate of change of the phase difference between MEG signals and use it to study the temporal structure of the phase interactions between MEG recordings from the left and right motor cortices during rest and during a finger-tapping task. We use the Hilbert transform to estimate moment-to-moment fluctuations of the phase difference between signals. After confirming the presence of scale-invariance we estimate the Hurst exponent using detrended fluctuation analysis (DFA). An exponent of >0.5 is indicative of long-range temporal correlations (LRTCs) in the signal. We find that LRTCs are present in the α/μ and β frequency bands of resting state MEG data. We demonstrate that finger movement disrupts LRTCs correlations, producing a phase relationship with a structure similar to that of Gaussian white noise. The results are validated by applying the same analysis to data with Gaussian white noise phase difference, recordings from an empty scanner and phase-shuffled time series. We interpret the findings through comparison of the results with those we obtained from an earlier study during which we adopted this method to characterize phase relationships within a Kuramoto model of oscillators in its sub-critical, critical, and super-critical synchronization states. We find that the resting state MEG from left and right motor cortices shows moment-to-moment fluctuations of phase difference with a similar temporal structure to that of a system of Kuramoto oscillators just prior to its critical level of coupling, and that finger tapping moves the system away from this pre-critical state toward a more random state.
登录
查看更多内容
影响因子：
20.6
作者：
BOASHASH, B
通讯作者：
BOASHASH, B
DOI：
10.1523/jneurosci.2111-11.2011
发表时间：
2011-09-28
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
He BJ
通讯作者：
He BJ
影响因子：
--
作者：
Berger, H
通讯作者：
Berger, H
影响因子：
14.5
作者：
Andres, FG;Mima, T;Gerloff, C
通讯作者：
Gerloff, C
影响因子：
3
作者：
Botcharova M;Farmer SF;Berthouze L
通讯作者：
Berthouze L