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全脑静息态功能磁共振成像活动的神经基础。

Neural basis of global resting-state fMRI activity.

作者信息

Schölvinck Marieke L, Maier Alexander, Ye Frank Q, Duyn Jeff H, Leopold David A

机构信息

Unit on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.

出版信息

Proc Natl Acad Sci U S A. 2010 Jun 1;107(22):10238-43. doi: 10.1073/pnas.0913110107. Epub 2010 May 3.

Abstract

Functional MRI (fMRI) has uncovered widespread hemodynamic fluctuations in the brain during rest. Recent electroencephalographic work in humans and microelectrode recordings in anesthetized monkeys have shown this activity to be correlated with slow changes in neural activity. Here we report that the spontaneous fluctuations in the local field potential (LFP) measured from a single cortical site in monkeys at rest exhibit widespread, positive correlations with fMRI signals over nearly the entire cerebral cortex. This correlation was especially consistent in a band of upper gamma-range frequencies (40-80 Hz), for which the hemodynamic signal lagged the neural signal by 6-8 s. A strong, positive correlation was also observed in a band of lower frequencies (2-15 Hz), albeit with a lag closer to zero. The global pattern of correlation with spontaneous fMRI fluctuations was similar whether the LFP signal was measured in occipital, parietal, or frontal electrodes. This coupling was, however, dependent on the monkey's behavioral state, being stronger and anticipatory when the animals' eyes were closed. These results indicate that the often discarded global component of fMRI fluctuations measured during the resting state is tightly coupled with underlying neural activity.

摘要

功能磁共振成像(fMRI)揭示了静息状态下大脑中广泛存在的血流动力学波动。近期针对人类的脑电图研究以及对麻醉猴子的微电极记录表明,这种活动与神经活动的缓慢变化相关。在此我们报告,在静息状态下从猴子单个皮质位点测量到的局部场电位(LFP)的自发波动,在几乎整个大脑皮层上与fMRI信号呈现广泛的正相关。这种相关性在较高γ波段频率(40 - 80赫兹)范围内尤为一致,在此频段血流动力学信号滞后神经信号6 - 8秒。在较低频率(2 - 15赫兹)范围内也观察到了强正相关,尽管滞后时间更接近零。无论LFP信号是在枕叶、顶叶还是额叶电极处测量,与自发fMRI波动的整体相关模式都是相似的。然而,这种耦合依赖于猴子的行为状态,当动物闭眼时耦合更强且具有前瞻性。这些结果表明,静息状态下测量的fMRI波动中常被忽略的全局成分与潜在的神经活动紧密耦合。

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