Disparity in temporal and spatial relationships between resting-state electrophysiological and fMRI signals

• DOI: 10.7554/elife.95680.2
• Publication Date: 2024-07-18T17:25:05Z
• Authors: Wenyu Tu; Samuel R. Cramer; Nanyin Zhang
• Keywords: Male; Brain Mapping; 0303 health sciences; QH301-705.5; Science; Rest; Q; R; Brain; electrophysiology; Magnetic Resonance Imaging; Article; Rats; Electrophysiological Phenomena; 03 medical and health sciences; Medicine; Animals; rat; Biology (General); Nerve Net; resting-state fMRI; Neuroscience

Resting-state brain networks (RSNs) have been widely applied in health and disease, but the interpretation of RSNs in terms of the underlying neural activity is unclear. To address this fundamental question, we conducted simultaneous recordings of whole-brain resting-state functional magnetic resonance imaging (rsfMRI) and electrophysiology signals in two separate brain regions of rats. Our data reveal that for both recording sites, spatial maps derived from band-specific local field potential (LFP) power can account for up to 90% of the spatial variability in RSNs derived from rsfMRI signals. Surprisingly, the time series of LFP band power can only explain to a maximum of 35% of the temporal variance of the local rsfMRI time course from the same site. In addition, regressing out time series of LFP power from rsfMRI signals has minimal impact on the spatial patterns of rsfMRI-based RSNs. This disparity in the spatial and temporal relationships between resting-state electrophysiology and rsfMRI signals suggests that electrophysiological activity alone does not fully explain the effects observed in the rsfMRI signal, implying the existence of an rsfMRI component contributed by “electrophysiology-invisible” signals. These findings offer a novel perspective on our understanding of RSN interpretation.