title: Hemodynamic correlates of spontaneous neural activity measured by human whole-head resting state EEG+fNIRS.
abstract: 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.
authors.affiliation: Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States.
authors.forename: Hasan Onur
authors.initials: HO
authors.lastname: Keles
authors.affiliation: Department of Pathology, Optical Tomography Group, State University of New York, NY, 11203, United States.
authors.forename: Randall L
authors.initials: RL
authors.lastname: Barbour
authors.affiliation: Department of Biomedical Engineering, University of Houston, Houston, TX 77204, United States. Electronic address: aomurtag@uh.edu.
authors.forename: Ahmet
authors.initials: A
authors.lastname: Omurtag
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000328:Adult; D001783:Blood Flow Velocity / Q000502:physiology; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D058256:Brain Waves / Q000502:physiology*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008297:Male; D009415:Nerve Net / Q000502:physiology; D010100:Oxygen / Q000378:metabolism*; D015203:Reproducibility of Results; D012146:Rest / Q000502:physiology; D012680:Sensitivity and Specificity; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D010100:Oxygen
keywords: Neurovascular coupling; Resting state; Simultaneous EEG+fNIRS