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Abstract #2023

The Constituents of Default Mode Network in Rats

Li-Ming Hsu 1 , Xia Liang 1 , Hong Gu 1 , Julia K. Brynildsen 1 , Jennifer A. Stark 2 , Kia Jackson 3 , Allison Hoffman 3 , Hanbing Lu 1 , Elliot A. Stein 1 , and Yihong Yang 1

1 Neuroimaging Research Branch, National institute on drug abuse, Baltimore, MD, United States, 2 Maryland Neuroimaging Center, University of Maryland, MD, United States, 3 Center for Tobacco Products, FDA, MD, United States

Human default mode network (DMN) has been fractionated into subcomponents based on their functional connectivity architecture and their distinct responses to different cognitive tasks. However, the partitioning of DMN in animals is much less known. Since rodents have been widely used as translational preclinical models, a thorough understanding of the architecture, and relevant functions, of the DMN in rodents would be important for interpreting resting-state fMRI (rs-fMRI) data of rodent DMN. In this study, we investigate constituents of DMN in rats using rs-fMRI and diffusion tensor imaging (DTI), and discuss their potential functional relevancy.

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