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Abstract #1216

An approach to capture time-varying spatial connectivity in resting fMRI networks

Armin Iraji1, Maziar Yaesoubi1, Anees Abrol1, Zening Fu1, Yuhui Du1, Srinivas Rachakonda1, and Vince D. Calhoun1,2

1The Mind Research Network, Albuquerque, NM, United States, 2Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, United States

The analysis of time-varying connectivity has become an important part of neuroscience discussions. The majority of such studies have focused primarily on the temporal variations of functional connectivity among fixed regions of interest (ROIs) or brain networks. However, the brain reorganizes itself on both spatial and temporal scales. Approaches that capture spatial and temporal coupling variations are needed. Here, we describe a novel approach capable of identifying the base states of brain networks and capturing their spatial variations over time. It also provides a unique opportunity to characterize the temporal variations of the brain at both network and global scales.

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