Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI A Schaefer, R Kong, EM Gordon, TO Laumann, XN Zuo, AJ Holmes, ... Cerebral cortex 28 (9), 3095-3114, 2018 | 2609 | 2018 |
Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion R Kong, J Li, C Orban, MR Sabuncu, H Liu, A Schaefer, N Sun, XN Zuo, ... Cerebral cortex 29 (6), 2533-2551, 2019 | 539 | 2019 |
Global signal regression strengthens association between resting-state functional connectivity and behavior J Li, R Kong, R Liégeois, C Orban, Y Tan, N Sun, AJ Holmes, ... NeuroImage 196, 126-141, 2019 | 299 | 2019 |
Resting brain dynamics at different timescales capture distinct aspects of human behavior R Liégeois, J Li, R Kong, C Orban, D Van De Ville, T Ge, MR Sabuncu, ... Nature communications 10 (1), 2317, 2019 | 250 | 2019 |
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics T He, R Kong, AJ Holmes, M Nguyen, MR Sabuncu, SB Eickhoff, D Bzdok, ... NeuroImage 206, 116276, 2020 | 223 | 2020 |
Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain P Wang, R Kong, X Kong, R Liégeois, C Orban, G Deco, ... Science advances 5 (1), eaat7854, 2019 | 222 | 2019 |
Somatosensory-motor dysconnectivity spans multiple transdiagnostic dimensions of psychopathology V Kebets, AJ Holmes, C Orban, S Tang, J Li, N Sun, R Kong, RA Poldrack, ... Biological psychiatry 86 (10), 779-791, 2019 | 203 | 2019 |
Individual-specific areal-level parcellations improve functional connectivity prediction of behavior R Kong, Q Yang, E Gordon, A Xue, X Yan, C Orban, XN Zuo, N Spreng, ... Cerebral cortex 31 (10), 4477-4500, 2021 | 167 | 2021 |
Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder KM Anderson, MA Collins, R Kong, K Fang, J Li, T He, AM Chekroud, ... Proceedings of the National Academy of Sciences 117 (40), 25138-25149, 2020 | 125 | 2020 |
Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity C Orban, R Kong, J Li, MWL Chee, BTT Yeo PLoS biology 18 (2), e3000602, 2020 | 96 | 2020 |
The detailed organization of the human cerebellum estimated by intrinsic functional connectivity within the individual A Xue, R Kong, Q Yang, MC Eldaief, PA Angeli, LM DiNicola, RM Braga, ... Journal of neurophysiology 125 (2), 358-384, 2021 | 95 | 2021 |
Heritability of individualized cortical network topography KM Anderson, T Ge, R Kong, LM Patrick, RN Spreng, MR Sabuncu, ... Proceedings of the National Academy of Sciences 118 (9), e2016271118, 2021 | 81 | 2021 |
Sensory-motor cortices shape functional connectivity dynamics in the human brain X Kong, R Kong, C Orban, P Wang, S Zhang, K Anderson, A Holmes, ... Nature communications 12 (1), 6373, 2021 | 74 | 2021 |
Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI LQR Ooi, J Chen, S Zhang, R Kong, A Tam, J Li, E Dhamala, JH Zhou, ... NeuroImage 263, 119636, 2022 | 70 | 2022 |
Individual-specific fMRI-Subspaces improve functional connectivity prediction of behavior R Kashyap, R Kong, S Bhattacharjee, J Li, J Zhou, BTT Yeo NeuroImage 189, 804-812, 2019 | 55 | 2019 |
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? T He, R Kong, AJ Holmes, MR Sabuncu, SB Eickhoff, D Bzdok, J Feng, ... 2018 international workshop on pattern recognition in neuroimaging (PRNI), 1-4, 2018 | 32 | 2018 |
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity X Yan, R Kong, A Xue, Q Yang, C Orban, L An, AJ Holmes, X Qian, ... NeuroImage 273, 120010, 2023 | 29 | 2023 |
Comparison between gradients and parcellations for functional connectivity prediction of behavior R Kong, YR Tan, N Wulan, LQR Ooi, SR Farahibozorg, S Harrison, ... NeuroImage 273, 120044, 2023 | 23 | 2023 |
Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development E Dhamala, LQR Ooi, J Chen, R Kong, KM Anderson, R Chin, BTT Yeo, ... NeuroImage 260, 119485, 2022 | 23 | 2022 |
Do deep neural networks outperform kernel regression for functional connectivity prediction of behavior T He, R Kong, A Holmes, M Nguyen, M Sabuncu, SB Eickhoff, D Bzdok, ... BioRxiv, 473603, 2018 | 19 | 2018 |