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Abstract #3935

Resting-State Functional Connectome Analysis of Awake Common Marmoset with Functional MRI and Electrocorticographic

Yawara Haga1,2,3, Junichi Hata2,3,4, Takaaki Kaneko2,5, Tatsuhiko Yamada6, Yuji Komaki3, Fumiko Seki2,3,5, Hideyuki Okano2,5, Hirotaka James Okano4, Tetsuo Yamamori2, Noritaka Ichinohe2,7, Yuichi Yamashita7, Akira Furukawa1, and Misako Komatsu2,7
1Department of Radiological Sciences, Human Health Sciences, Tokyo Metropolitan University Graduate School, Tokyo, Japan, 2RIKEN Center for Brain Science, Saitama, Japan, 3Live Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan, 4Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan, 5Department of Physiology, Keio University School of Medicine, Tokyo, Japan, 6Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan, 7National Center of Neurology and Psychiatry, Tokyo, Japan

We explored the resting-state functional network of awake common marmoset by functional MRI (fMRI) and electrocorticographic (ECoG). As a result, a visual cortex network, a somatomotor network, a default mode network and a striatum network were detected in functional connectome analysis. In addition, some resting-state networks that were observed in the previous studies were detected in ICA. Those resting-state networks were also observed in ECoG data. Therefore, we conclude that fMRI and ECoG data were almost consistent.

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