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Hemodynamic correlates of spontaneous neural activity measured by human whole-head resting state EEG plus fNIRS

机译:通过人全头静息状态EEG和fNIRS测量的自发神经活动的血流动力学相关性

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The brains of awake, resting human subjects display spontaneously occurring neural activity patterns whose magnitude is typically many times greater than those triggered by cognitive or perceptual performance. Evoked and resting state activations affect local cerebral hemodynamic properties through processes collectively referred to as neurovascular coupling. Its investigation calls for an ability to track both the neural and vascular aspects of brain function. We used scalp electroencephalography (EEG), which provided a measure of the electrical potentials generated by cortical postsynaptic currents. Simultaneously we utilized functional near-infrared spectroscopy (NIRS) to continuously monitor hemoglobin concentration changes in superficial cortical layers. The multi-modal signal from 18 healthy adult subjects allowed us to investigate the association of neural activity in a range of frequencies over the whole-head to local changes in hemoglobin concentrations. Our results verified the delayed alpha (8-16 Hz) modulation of hemodynamics in posterior areas known from the literature. They also indicated strong beta (16-32 Hz) modulation of hemodynamics. Analysis revealed, however, that beta modulation was likely generated by the alpha-beta coupling in EEG. Signals from the inferior electrode sites were dominated by scalp muscle related activity. Our study aimed to characterize the phenomena related to neurovascular coupling observable by practical, cost-effective, and non-invasive multi-modal techniques. (C) 2016 Elsevier Inc. All rights reserved.
机译:醒着的,静息的人类受试者的大脑显示出自发发生的神经活动模式,其强度通常比由认知或知觉表现触发的活动大很多倍。诱发和静止状态的激活通过统称为神经血管耦合的过程影响局部脑血流动力学特性。它的研究要求能够跟踪大脑功能的神经和血管方面。我们使用头皮脑电图(EEG),可以测量皮层突触后电流产生的电势。同时,我们利用功能近红外光谱(NIRS)来连续监测浅层皮层中血红蛋白浓度的变化。来自18位健康成人受试者的多模式信号使我们能够研究整个头部在一定频率范围内的神经活动与血红蛋白浓度的局部变化之间的关系。我们的结果验证了文献中已知的后部区域血流动力学的延迟alpha(8-16 Hz)调制。他们还指出血液动力学的强β(16-32 Hz)调制。但是,分析表明,β调制可能是由EEG中的α-β耦合产生的。来自下电极部位的信号主要由头皮肌肉相关的活动决定。我们的研究旨在表征可通过实用,具有成本效益的非侵入性多模式技术观察到的与神经血管耦合有关的现象。 (C)2016 Elsevier Inc.保留所有权利。

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