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Quasi-periodic Fluctuations in Default Mode Network Electrophysiology

机译:默认模式网络电生理学中的准周期波动

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摘要

The study of human brain electrophysiology has extended beyond traditional frequency ranges identified by the classical EEG rhythms, encompassing both higher and lower frequencies. Changes in high-gamma-band (>70 Hz) power have been identified as markers of local cortical activity. Fluctuations at infra-slow (<0.1 Hz) frequencies have been associated with functionally significant cortical networks elucidated using fMRI studies. In this study, we examined infra-slow changes in band-limited power across a range of frequencies (1–120 Hz) in the default mode network (DMN). Measuring the coherence in band-limited power fluctuations between spatially separated electrodes makes it possible to detect small, spatially extended, and temporally coherent fluctuating components in the presence of much larger incoherent fluctuations. We show that the default network is characterized by significant high-gamma-band (65–110 Hz) coherence at infra-slow (<0.1 Hz) frequencies. This coherence occurs over a narrow frequency range, centered at 0.015 Hz, commensurate with the frequency of BOLD signal fluctuations seen by fMRI, suggesting that quasi-periodic, infra-slow changes in local cortical activity form the neurophysiological basis for this network.
机译:人脑电生理学的研究已经超出了经典脑电节律确定的传统频率范围,涵盖了更高和更低的频率。高伽马频带(> 70 Hz)功率的变化已被确定为局部皮层活动的标志。低频(<0.1 Hz)频率下的波动与功能磁共振成像研究阐明的功能重大的皮质网络有关。在这项研究中,我们研究了默认模式网络(DMN)中整个频率范围(1–120 Hz)中的带限功率的超慢变化。测量在空间上分开的电极之间的带限功率波动中的相干性使得在存在大得多的非相干性波动的情况下检测小的,空间扩展的和时间上相干的波动分量成为可能。我们表明,默认网络的特征在于在慢速(<0.1 Hz)频率下具有显着的高伽马频带(65–110 Hz)相干性。这种相干性发生在以0.015 Hz为中心的狭窄频率范围内,与fMRI观察到的BOLD信号波动的频率相对应,表明局部皮层活动的准周期性,次慢变化形成了该网络的神经生理学基础。

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