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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