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Abstract #3514

A Multivariate Approach Reveals Interactions of Brain Functional Networks During Resting and Goal-Directed Conditions

Wei Gao1, Hongtu Zhu2, Kelly Giovanello3, Weili Lin4

1Biomedical Engineering, UNC-Chapel Hill, Chapel Hill, NC, United States; 2Biostatistics and Biomedical Research Imaging Center, University of North Carolina-Chapel Hill; 3Psychology and Biomedical Research Imaging Center, University of North Carolina-Chapel Hill; 4Radiology and Biomedical Research Imaging Center, University of North Carolina-Chapel Hill


The brain is intrinsically organized by functional networks. However, most of the brain functional imaging studies thus far have largely focused on the interaction of different brain regions instead of among different brain networks. In this study, a multivariate approach was developed to discern the interaction of five predefined brain functional networks, including the default (D), fronto-parietal control (FPC), motor-sensory (MS), visual (V), and language (L) networks during resting, movie watching and finger tapping, respectively. The ability to elucidate the interaction of different brain networks and assess the dynamic perturbations of their interactions under different cognitive statuses should complement our understanding of brain functional interaction on a regional level and offer a more comprehensive insight into how the brain works at a different scale.

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