Abstract #3935

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

Yawara Haga^1,2,3, Junichi Hata^2,3,4, Takaaki Kaneko^2,5, Tatsuhiko Yamada⁶, Yuji Komaki³, Fumiko Seki^2,3,5, Hideyuki Okano^2,5, Hirotaka James Okano⁴, Tetsuo Yamamori², Noritaka Ichinohe^2,7, Yuichi Yamashita⁷, Akira Furukawa¹, and Misako Komatsu^2,7

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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