Keywords: Functional Connectivity, fMRI (resting state)
Motivation: Traditional functional connectivity methods often overlook spatiotemporal dynamics in resting-state fMRI, limiting our understanding of brain activity patterns over time.
Goal(s): Our aim is to characterize these dynamics via high-angular-resolution correlation functions and demonstrate potential applications of this enhanced characterization.
Approach: We processed resting-state fMRI images using a modified preprocessing pipeline, and applied a novel method to measure BOLD signal propagation. This measurement enables us to identify sources and sinks of activity and track dynamic functional patterns.
Results: We demonstrated two main applications of our method: identifying dynamic sources and sinks in the BOLD signal and performing tractography to map its propagation pathways.
Impact: Our characterization method introduces a novel approach for analyzing resting-state fMRI, offering valuable insights for both research and clinical applications.
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