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

• Published in: NeuroImage (Orlando, Fla.) Vol. 138; pp. 76 - 87
• Main Authors: Keles, Hasan Onur, Barbour, Randall L., Omurtag, Ahmet
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.09.2016; Elsevier Limited
• Subjects: Action Potentials - physiology; Adult; Blood Flow Velocity - physiology; Brain - physiology; Brain Mapping - methods; Brain research; Brain Waves - physiology; Cerebrovascular Circulation - physiology; Electroencephalography; Electroencephalography - methods; Humans; Male; Nerve Net - physiology; Neurovascular coupling; Oxygen - metabolism; Reproducibility of Results; Researchers; Rest - physiology; Resting state; Sensitivity and Specificity; Simultaneous EEG + fNIRS; Spectroscopy, Near-Infrared - methods; Studies; Topography; Simultaneous EEG+fNIRS; Resting state; Neurovascular coupling
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2016.05.058

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 (8–16Hz) modulation of hemodynamics in posterior areas known from the literature. They also indicated strong beta (16–32Hz) 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. [Display omitted]