EEG and NeuroImaging Laboratory, Applied Neuroscience Research Institute Seminole, FL, USA.
Front Hum Neurosci. 2014 Jul 23;8:529. doi: 10.3389/fnhum.2014.00529. eCollection 2014.
The purpose of this study was to explore phase reset of 3-dimensional current sources in Brodmann areas located in the human default mode network (DMN) using Low Resolution Electromagnetic Tomography (LORETA) of the human electroencephalogram (EEG).
The EEG was recorded from 19 scalp locations from 70 healthy normal subjects ranging in age from 13 to 20 years. A time point by time point computation of LORETA current sources were computed for 14 Brodmann areas comprising the DMN in the delta frequency band. The Hilbert transform of the LORETA time series was used to compute the instantaneous phase differences between all pairs of Brodmann areas. Phase shift and lock durations were calculated based on the 1st and 2nd derivatives of the time series of phase differences.
Phase shift duration exhibited three discrete modes at approximately: (1) 25 ms, (2) 50 ms, and (3) 65 ms. Phase lock duration present primarily at: (1) 300-350 ms and (2) 350-450 ms. Phase shift and lock durations were inversely related and exhibited an exponential change with distance between Brodmann areas.
The results are explained by local neural packing density of network hubs and an exponential decrease in connections with distance from a hub. The results are consistent with a discrete temporal model of brain function where anatomical hubs behave like a "shutter" that opens and closes at specific durations as nodes of a network giving rise to temporarily phase locked clusters of neurons for specific durations.
本研究旨在使用人类脑电图(EEG)的低分辨率电磁断层成像(LORETA)探索位于默认模式网络(DMN)中的布罗德曼区的三维电流源的相位重置。
从 70 名年龄在 13 至 20 岁之间的健康正常受试者的 19 个头皮位置记录 EEG。在 delta 频带中,针对包含 DMN 的 14 个布罗德曼区,对 LORETA 电流源进行逐点计算。使用 LORETA 时间序列的希尔伯特变换计算所有布罗德曼区之间的即时相位差。根据相位差时间序列的一阶和二阶导数计算相移和锁相持续时间。
相移持续时间表现出三种离散模式,分别约为:(1)25 ms,(2)50 ms,和(3)65 ms。相锁持续时间主要出现在:(1)300-350 ms 和(2)350-450 ms。相移和锁相持续时间呈反比关系,并且与布罗德曼区之间的距离呈指数变化。
结果可以用网络枢纽的局部神经包装密度和枢纽距离的连接呈指数下降来解释。结果与大脑功能的离散时间模型一致,其中解剖枢纽的行为类似于“快门”,在特定的持续时间内打开和关闭,作为网络的节点,为特定的持续时间产生暂时的锁相神经元簇。