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脑电图谱的高频宽带调制

High-frequency Broadband Modulations of Electroencephalographic Spectra.

作者信息

Onton Julie, Makeig Scott

机构信息

Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA.

出版信息

Front Hum Neurosci. 2009 Dec 23;3:61. doi: 10.3389/neuro.09.061.2009. eCollection 2009.

Abstract

High-frequency cortical potentials in electroencephalographic (EEG) scalp recordings have low amplitudes and may be confounded with scalp muscle activities. EEG data from an eyes-closed emotion imagination task were linearly decomposed using independent component analysis (ICA) into maximally independent component (IC) processes. Joint decomposition of IC log spectrograms into source- and frequency-independent modulator (IM) processes revealed three distinct classes of IMs that separately modulated broadband high-frequency ( approximately 15-200 Hz) power of brain, scalp muscle, and likely ocular motor IC processes. Multi-dimensional scaling revealed significant but spatially complex relationships between mean broadband brain IM effects and the valence of the imagined emotions. Thus, contrary to prevalent assumption, unitary modes of spectral modulation of frequencies encompassing the beta, gamma, and high gamma frequency ranges can be isolated from scalp-recorded EEG data and may be differentially associated with brain sources and cognitive activities.

摘要

脑电图(EEG)头皮记录中的高频皮层电位振幅较低,可能会与头皮肌肉活动混淆。使用独立成分分析(ICA)对闭眼情绪想象任务的EEG数据进行线性分解,得到最大独立成分(IC)过程。将IC对数频谱图联合分解为源和频率独立的调制器(IM)过程,揭示了三类不同的IM,它们分别调制大脑、头皮肌肉以及可能的眼动IC过程的宽带高频(约15 - 200 Hz)功率。多维标度分析揭示了平均宽带大脑IM效应与想象情绪效价之间显著但空间复杂的关系。因此,与普遍假设相反,包含β、γ和高γ频率范围的频率的单一频谱调制模式可以从头皮记录的EEG数据中分离出来,并且可能与脑源和认知活动有不同的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2278/2806183/a9e46ce1ea04/fnhum-03-061-g001.jpg

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