Ru(by) Kong

Affiliations: 
National University of Singapore, Singapore, Singapore 
Area:
brain parcellation, human behavior, machine learning
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"Ru(by) Kong"
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Publications

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Anderson KM, Collins MA, Kong R, et al. (2020) Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder. Proceedings of the National Academy of Sciences of the United States of America
Orban C, Kong R, Li J, et al. (2020) Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity. Plos Biology. 18: e3000602
He T, Kong R, Holmes AJ, et al. (2019) Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. Neuroimage. 116276
Kebets V, Holmes AJ, Orban C, et al. (2019) Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology. Biological Psychiatry
Liégeois R, Li J, Kong R, et al. (2019) Resting brain dynamics at different timescales capture distinct aspects of human behavior. Nature Communications. 10: 2317
Li J, Kong R, Liégeois R, et al. (2019) Global signal regression strengthens association between resting-state functional connectivity and behavior. Neuroimage
Wang P, Kong R, Kong X, et al. (2019) Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain. Science Advances. 5: eaat7854
Kong R, Li J, Orban C, et al. (2018) Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion. Cerebral Cortex (New York, N.Y. : 1991)
Schaefer A, Kong R, Gordon EM, et al. (2017) Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI. Cerebral Cortex (New York, N.Y. : 1991). 1-20
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