R
Ru Kong
Researcher at National University of Singapore
Publications - 32
Citations - 4447
Ru Kong is an academic researcher from National University of Singapore. The author has contributed to research in topics: Deep learning & Default mode network. The author has an hindex of 17, co-authored 32 publications receiving 2080 citations. Previous affiliations of Ru Kong include Shanghai Jiao Tong University.
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Journal ArticleDOI
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo,B.T. Thomas Yeo +8 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Posted ContentDOI
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo +7 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Journal ArticleDOI
Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.
Ru Kong,Jingwei Li,Csaba Orban,Mert R. Sabuncu,Hesheng Liu,Alexander Schaefer,Nanbo Sun,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo +10 more
TL;DR: Network topography estimated by MS-HBM was more effective for behavioral prediction than network size, as well as network topography Estimated by other parcellation approaches, similar to connectivity strength, which might also serve as a fingerprint of human behavior.
Journal ArticleDOI
Global signal regression strengthens association between resting-state functional connectivity and behavior
Jingwei Li,Ru Kong,Raphaël Liégeois,Csaba Orban,Yanrui Tan,Nanbo Sun,Avram J. Holmes,Mert R. Sabuncu,Tian Ge,B.T. Thomas Yeo +9 more
TL;DR: The results suggest that at least in the case for young healthy adults, GSR strengthens the associations between RSFC and most (although not all) behavioral measures.
Journal ArticleDOI
Resting brain dynamics at different timescales capture distinct aspects of human behavior
Raphaël Liégeois,Raphaël Liégeois,Raphaël Liégeois,Jingwei Li,Ru Kong,Csaba Orban,Dimitri Van De Ville,Dimitri Van De Ville,Tian Ge,Mert R. Sabuncu,B.T. Thomas Yeo +10 more
TL;DR: It is shown that different traits are predicted by different time-scales of resting state activity (dynamic vs. static), shed new light on the timescales of cognitive processes involved in distinct facets of behavior.