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Abstract #0039

Spontaneous Co-Activation Patterns of the Brain Revealed by Selectively Averaging Resting-State fMRI Volumes

Xiao Liu1, Catie Chang1, Jeff H. Duyn1

1Advanced MRI section, LFMI, NINDS, National Institutes of Health, Bethesda, MD, United States

In this study, we identified 30 spontaneous co-activation patterns (CAPs) by regrouping and then averaging resting-state fMRI volumes. The CAPs present interesting information regarding spontaneous brain activity at distinct time points: e.g., multiple default mode network (DMN) CAPs with distinct features, multiple task-positive CAPs anti-correlated with DMN region, very specific thalamocortical connections, and altered occurrence rates in different populations. The data-driven approach used here may serve as a novel method for analyzing and interpreting resting-state fMRI signals, complementary to conventional approaches.