[2P] Late-Breaking Abstracts

[2P-431] Improving reproducibility of brain–symptom associations in major depressive disorder using edge-centric network

*Ayumu Yamashita^1,2, Toshiharu Kamishikiryo³, Eri Sakai³, Yuki Sakai^2,4, Saori C. Tanaka^2,5, Kouji Kamagata⁶, Ryuichiro Hashimoto^2,8,7, Haruto Takagishi⁹, Toshiya Murai¹⁰, Koichi Hosomi¹¹, Yoshiyuki Hirano¹², Masaru Mimura¹³, Takashi Hanakawa^10,14, Shinsuke Koike^16,15, Kiyoto Kasai^16,17, Hidehiko Takahashi^10,18, Takuya Hayashi^19,10, Mitsuo Kawato^2,4, Go Okada³, Okito Yamashita^2,20 (1. Grad Sch System Informatics, Kobe University, Kobe, Japan, 2. Advanced Telecommunications Research Institute International (ATR), Brain Information Communication Research Laboratory Group, 3. Department of Psychiatry and Neurosciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, 4. XNef Inc., 5. Graduate School of Advanced Science and Technology, Nara Institute of Science and Technology, 6. Department of Radiology, Juntendo University School of Medicine, 7. Medical Institute of Developmental Disabilities Research, Showa Medical University, 8. Faculty of Humanities and Social Sciences, Tokyo Metropolitan University, 9. Brain Science Institute, Tamagawa University, 10. Graduate School of Medicine, Kyoto University, 11. Graduate School of Medicine, THe University of Osaka, 12. Research Center for Child Mental Development, Chiba University, 13. School of Medicine, Keio University, 14. Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, 15. Graduate School of Arts and Sciences, The University of Tokyo, 16. Graduate School of Medicine, The University of Tokyo, 17. International Research Center for Neurointelligence, Institutes for Advanced Study, The University of Tokyo, 18. Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 19. Center for Biosystems Dynamics Research (BDR), RIKEN, 20. Center for Advanced Intelligence Project (AIP), RIKEN)

Keywords:

edge-centric network,major depressive disorder,resting state fMRI,depressive symptoms

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