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KONG RU

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Publications

Results 1-5 of 5 (Search time: 0.005 seconds).

Issue DateTitleAuthor(s)
12020Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographicsHe, T.; Kong, R. ; Holmes, A.J.; Nguyen, M. ; Sabuncu, M.R.; Eickhoff, S.B.; Bzdok, D.; Feng, J. ; Yeo, B.T.T. 
231-Oct-2021Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of BehaviorKONG RU ; Qing Yang; Evan Gordon; Aihuiping Xue; Xiaoxuan Yan; CSABA ORBAN ; Xi-Nian Zuo; Nathan Spreng; Tian Ge; Avram Holmes; Simon Eickhoff; Yeo B.T.T. 
32019Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brainWang, P. ; Kong, R. ; Kong, X.; Liégeois, R. ; Orban, C. ; Deco, G.; Van Den Heuvel, M.P.; Yeo, B.T.T. 
42019Resting brain dynamics at different timescales capture distinct aspects of human behaviorLiégeois, R. ; Li, J. ; Kong, R. ; Orban, C. ; Van De Ville, D.; Ge, T.; Sabuncu, M.R.; Yeo, B.T.T. 
52020Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivityOrban, C.; Kong, R. ; Li, J. ; Chee, M.W.L. ; Yeo, B.T.T.