[en] Evidence for intrinsic functional connectivity (FC) within the human brain is largely from neuroimaging studies of hemodynamic activity. Data are lacking from anatomically precise electrophysiological recordings in the most widely studied nodes of human brain networks. Here we used a combination of fMRI and electrocorticography (ECoG) in five human neurosurgical patients with electrodes in the canonical “default” (medial prefrontal and posteromedial cortex), “dorsal attention” (frontal eye fields and superior parietal lobule) and “frontoparietal control” (inferior parietal lobule and dorsolateral prefrontal cortex) networks. In this unique cohort, simultaneous intracranial recordings within these networks were anatomically matched across different individuals. Within each network and for each individual, we found a positive, and reproducible, spatial correlation for FC measures obtained from resting-state fMRI and separately recorded ECoG in the same brains. This relationship was reliably identified for electrophysiological FC based on slow (<1 Hz) fluctuations of high-frequency broadband (70-170 Hz) power, both during wakeful rest and sleep. A similar FC organization was often recovered when using lower frequency (1-70 Hz) power, but anatomical specificity and consistency were greatest for the high-frequency broadband range. An inter-frequency comparison of fluctuations in FC revealed that high and low frequency ranges often temporally diverged from one another, suggesting that multiple neurophysiological sources may underlie variations in FC. Taken together, our work offers a generalizable electrophysiological basis for intrinsic FC and its dynamics across individuals, brain networks, and behavioral states.
Disciplines :
Neurosciences & behavior
Author, co-author :
Kucyi, Aaron; Stanford University > Department of Neurology & Neurological Sciences
Schrouff, Jessica ; Stanford University > Department of Neurology & Neurological Sciences
Bickel, Stephan; Stanford University > Department of Neurology & Neurological Sciences
Foster, Brett; Baylor College of Medicine, Houston, TX > Departments of Neurosurgery and Neuroscience
Shine, James; The University of Sydney > Brain and Mind Center
Parvizi, Josef; Stanford University > Department of Neurology & Neurological Sciences
Language :
English
Title :
Intracranial electrophysiology reveals reproducible intrinsic functional connectivity within human brain networks
H2020 - 654038 - DecoMP_ECoG - Decoding memory processing from experimental and spontaneous human brain activity using intracranial electrophysiological recordings and machine learning based methods.
Name of the research project :
Grant R01NS078396; Grant 1R01MH109954-01; Grant BCS1358907; Banting Fellowship; 654038 - DecoMP_ECoG - Marie Sklodowska Curie Actions fellowship
Funders :
NINDS - National Institute of Neurological Disorders and Stroke NIMH - National Institute of Mental Health NSF - National Science Foundation CIHR - Canadian Institutes of Health Research CE - Commission Européenne
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