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Abstract #3616

Highly reliability resting-state networks in common marmoset brains.

Yawara Haga1,2,3, Junichi Hata1,2,3,4,5, Takaaki Kaneko1, Kei Hagiya1, Yuji Komaki3,4, Fumiko Seki1,3,4, Daisuke Yoshimaru1,3,4,5, Kanako Muta1,2,5, Noriyuki Kishi1,4, Takako Shirakawa2, and Hideyuki Okano1,4
1Laboratory for Marmoset Neural Architecture, RIKEN CBS, Saitama, Japan, 2Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 3Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan, 4Department of Physiology, Keio University School of Medicine, Tokyo, Japan, 5Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan


We identified the resting-state networks in common marmoset brains with a larger amount of rsfMRI data (60 hours). The group-ICA and single subject-ICA were performed in this study. As a results, 18 networks were detected with highly reliability. It included the default mode network, a network most likely involved with visual pathways, and the limbic network. In addition, our data suggests that the resting-state networks in marmoset may be similar to that in human and macaque monkey. Therefore, our study shows that the evaluation of the functional effects of the neurodegenerative diseases using common marmosets is highly useful.

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