Resting-state functional magnetic resonance imaging (rsfMRI) has been widely used to map large-scale brain networks and their pathological changes under with various brain diseases. Although a neural basis for the rsfMRI signals has been established with electrophysiological studies, the nature of the underlying neural correlates remains largely unknown. The lack of understanding of the specific neural correlates and generative mechanisms of rsfMRI network correlations hampers their interpretation. The overall goal of the proposed research is to elucidate specific neural correlates and generative mechanisms that lead to rsfMRI signal correlations. The research objective will be achieved through two specific aims:
Aim 1 is to elucidate the neural correlate and generative mechanism of region-specific correlations in resting-state signals with using large-scale electrophysiologica recordings and concurrent fMRI-electrophysiological measurements.
Aim 2 is to identify specific electrophysiological events that contribute to global, spatially non-specific fMRI correlations and clarify their link to the brain's vigilance level, also using multi-modal approach. The proposed research is innovative, because it will be the first attempt to deconstruct rsfMRI correlations int two core components, each with a mechanism that can be characterized on electrophysiological grounds. The impact of this research is highly significant, because the identification of distinct electrophysiological contributions to rsfMRI signals will improve the understanding of functional networks and help interpret the relationship between abnormalities in networks and pathology.
The proposed research is relevant to public health because the elucidation of the generative mechanism of resting-state functional connectivity and associated network patterns is expected to increase understanding of their pathological changes under a variety of brain diseases, and also to improve their future usage in neuroscience or clinical research. Thus, the proposed research is relevant to the part of NIH's mission that pertains to developing fundamental knowledge that will help to reduce illness and disability.
| Liu, Xiao; Zhang, Nanyin; Chang, Catie et al. (2018) Co-activation patterns in resting-state fMRI signals. Neuroimage 180:485-494 |
| Liu, Xiao; de Zwart, Jacco A; Schölvinck, Marieke L et al. (2018) Subcortical evidence for a contribution of arousal to fMRI studies of brain activity. Nat Commun 9:395 |
