Abstract #3616

Highly reliability resting-state networks in common marmoset brains.

Yawara Haga^1,2,3, Junichi Hata^1,2,3,4,5, Takaaki Kaneko¹, Kei Hagiya¹, Yuji Komaki^3,4, Fumiko Seki^1,3,4, Daisuke Yoshimaru^1,3,4,5, Kanako Muta^1,2,5, Noriyuki Kishi^1,4, Takako Shirakawa², and Hideyuki Okano^1,4

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

Synopsis

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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