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Neurophysiological Investigation of Spontaneous Correlated and Anticorrelated Fluctuations of the BOLD Signal

机译:BOLD信号自发相关和反相关波动的神经生理学研究

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摘要

Analyses of intrinsic fMRI BOLD signal fluctuations reliably reveal correlated and anticorrelated functional networks in the brain. Because the BOLD signal is an indirect measure of neuronal activity and anticorrelations can be introduced by preprocessing steps, such as global signal regression, the neurophysiological significance of correlated and anticorrelated BOLD fluctuations is a source of debate. Here, we address this question by examining the correspondence between the spatial organization of correlated BOLD fluctuations and correlated fluctuations in electrophysiological high γ power signals recorded directly from the cortical surface of 5 patients. We demonstrate that both positive and negative BOLD correlations have neurophysiological correlates reflected in fluctuations of spontaneous neuronal activity. Although applying global signal regression to BOLD signals results in some BOLD anticorrelations that are not apparent in the ECoG data, it enhances the neuronal-hemodynamic correspondence overall. Together, these findings provide support for the neurophysiological fidelity of BOLD correlations and anticorrelations.
机译:对内在功能磁共振成像BOLD信号波动的分析可靠地揭示了大脑中相关和反相关的功能网络。由于BOLD信号是神经元活动的间接量度,并且可以通过诸如全局信号回归之类的预处理步骤引入反相关性,因此相关和反相关BOLD波动的神经生理学意义引起了争论。在这里,我们通过检查相关的BOLD波动的空间组织和直接从5位患者的皮质表面记录的电生理学高γ功率信号的相关波动之间的对应关系来解决此问题。我们证明正向和负向BOLD相关都具有反映在自然神经元活动波动中的神经生理相关性。尽管将全局信号回归应用于BOLD信号会导致一些BOLD反相关,但在ECoG数据中并不明显,但总体上会增强神经元-血液动力学的对应关系。总之,这些发现为BOLD相关性和反相关性的神经生理保真度提供了支持。

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