| Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: Methods and promises J Sui, R Jiang, J Bustillo, V Calhoun Biological Psychiatry 88 (11), 818-828, 2020 | 286 | 2020 |
| Ferroptosis in liver disease: new insights into disease mechanisms J Wu, Y Wang, R Jiang, R Xue, X Yin, M Wu, Q Meng Cell death discovery 7 (1), 276, 2021 | 175 | 2021 |
| Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion J Sui, S Qi, TGM van Erp, J Bustillo, R Jiang, D Lin, JA Turner, ... Nature communications 9 (1), 3028, 2018 | 157 | 2018 |
| Aberrant dynamic functional network connectivity and graph properties in major depressive disorder D Zhi, VD Calhoun, L Lv, X Ma, Q Ke, Z Fu, Y Du, Y Yang, X Yang, M Pan, ... Frontiers in psychiatry 9, 339, 2018 | 145 | 2018 |
| Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships R Jiang, N Zuo, JM Ford, S Qi, D Zhi, C Zhuo, Y Xu, Z Fu, J Bustillo, ... NeuroImage 207, 116370, 2020 | 142 | 2020 |
| Gender differences in connectome-based predictions of individualized intelligence quotient and sub-domain scores R Jiang, VD Calhoun, L Fan, N Zuo, R Jung, S Qi, D Lin, J Li, C Zhuo, ... Cerebral cortex 30 (3), 888-900, 2020 | 132 | 2020 |
| Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data X Meng, R Jiang, D Lin, J Bustillo, T Jones, J Chen, Q Yu, Y Du, Y Zhang, ... Neuroimage 145, 218-229, 2017 | 104 | 2017 |
| Connectome-based individualized prediction of temperament trait scores R Jiang, VD Calhoun, N Zuo, D Lin, J Li, L Fan, S Qi, H Sun, Z Fu, M Song, ... Neuroimage 183, 366-374, 2018 | 85 | 2018 |
| MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder S Qi, X Yang, L Zhao, VD Calhoun, N Perrone-Bizzozero, S Liu, R Jiang, ... Brain 141 (3), 916-926, 2018 | 83 | 2018 |
| Associations between grip strength, brain structure, and mental health in> 40,000 participants from the UK Biobank R Jiang, ML Westwater, S Noble, M Rosenblatt, W Dai, S Qi, J Sui, ... BMC medicine 20 (1), 286, 2022 | 75 | 2022 |
| Multimodal data revealed different neurobiological correlates of intelligence between males and females R Jiang, VD Calhoun, Y Cui, S Qi, C Zhuo, J Li, R Jung, J Yang, Y Du, ... Brain imaging and behavior 14, 1979-1993, 2020 | 66 | 2020 |
| SMRI biomarkers predict electroconvulsive treatment outcomes: accuracy with independent data sets R Jiang, CC Abbott, T Jiang, Y Du, R Espinoza, KL Narr, B Wade, Q Yu, ... Neuropsychopharmacology 43 (5), 1078-1087, 2018 | 64 | 2018 |
| Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method W Yan, S Plis, VD Calhoun, S Liu, R Jiang, TZ Jiang, J Sui 2017 IEEE 27th international workshop on machine learning for signal …, 2017 | 56 | 2017 |
| Brain imaging-based machine learning in autism spectrum disorder: methods and applications M Xu, V Calhoun, R Jiang, W Yan, J Sui Journal of neuroscience methods 361, 109271, 2021 | 48 | 2021 |
| Common and unique multimodal covarying patterns in autism spectrum disorder subtypes S Qi, R Morris, JA Turner, Z Fu, R Jiang, TP Deramus, D Zhi, VD Calhoun, ... Molecular autism 11, 1-15, 2020 | 40 | 2020 |
| Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data H Sun, R Jiang, S Qi, KL Narr, BSC Wade, J Upston, R Espinoza, T Jones, ... NeuroImage: Clinical 26, 102080, 2020 | 37 | 2020 |
| A neuroimaging signature of cognitive aging from whole‐brain functional connectivity R Jiang, D Scheinost, N Zuo, J Wu, S Qi, Q Liang, D Zhi, N Luo, ... Advanced Science 9 (24), 2201621, 2022 | 36 | 2022 |
| Data leakage inflates prediction performance in connectome-based machine learning models M Rosenblatt, L Tejavibulya, R Jiang, S Noble, D Scheinost Nature Communications 15 (1), 1829, 2024 | 35* | 2024 |
| Associations of physical frailty with health outcomes and brain structure in 483 033 middle-aged and older adults: a population-based study from the UK Biobank R Jiang, S Noble, J Sui, K Yoo, M Rosenblatt, C Horien, S Qi, Q Liang, ... The Lancet Digital Health 5 (6), e350-e359, 2023 | 35 | 2023 |
| Reward processing in novelty seekers: a transdiagnostic psychiatric imaging biomarker S Qi, G Schumann, J Bustillo, JA Turner, R Jiang, D Zhi, Z Fu, AR Mayer, ... Biological psychiatry 90 (8), 529-539, 2021 | 35 | 2021 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
