1、Jiang R*, Geha P, Rosenblatt M, Wang Y*, Fu Z, Foster M, Dai W, Calhoun VD, Sui J*, Spann MN, Scheinost D. The inflammatory and genetic mechanisms underlying the cumulative effect of co-occurring pain conditions on depression. Science Advances. 2025; 11(14):eadt1083.
2、Wang Q, Qi S, Jiang R*, Sui J. Unlocking Alzheimer's Disease Heterogeneity: The Role of Normative Modeling, Dynamic Connectivity, and Beyond. Biol Psychiatry. 2025 Jun; 97(11):1016-1017.
3、Jiang R*, Noble S, Rosenblatt M, Dai W, Ye J, Liu S, Qi S, Calhoun VD, Sui J*, Scheinost D. The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature Communications. 2024; 15(1):4411.
4、Zhi D#, Jiang R#, Pearlson G, Fu Z, Qi S, Yan W, Feng A, Xu M, Calhoun V*, Sui J*. Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study. Biological Psychiatry. 2024;95(9):828-838.
5、Zhao C#, Jiang R*, Bustillo J, Kochunov P, Turner JA, Liang C, Fu Z, Zhang D, Qi S*, Calhoun VD. Cross-cohort replicable resting-state functional connectivity in predicting symptoms and cognition of schizophrenia. Human Brain Mapping. 2024;45(7):e26694.
6、Liang Q*, Adkinson BD, Jiang R*, Scheinost D. (2024, October). Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI, pp. 579-588).
7、Jiang R*, Noble S, Sui J, Yoo K, Rosenblatt M, Horien C, Qi S, Liang Q, Sun H, Calhoun VD, Scheinost D. 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. Lancet Digital Health. 2023; 5(6):e350-e359.
8、Jiang R*, Calhoun VD, Noble S, Sui J, Liang Q, Qi S, Scheinost D*. A functional connectome signature of blood pressure in >30 000 participants from the UK biobank. Cardiovascular Research. 2023;119(6):1427-1440.
9、Jiang R#*, Wu J#, Rosenblatt M, Dai W, Rodriguez RX, Sui J, Qi S, Liang Q, Xu B*, Meng Q, Calhoun VD, Scheinost D*. Elevated C-reactive protein mediates the liver-brain axis: a preliminary study. EBioMedicine. 2023; 93:104679
10、Jiang R*, Scheinost D, Zuo N, Wu J, Qi S, Liang Q, Zhi D, Luo N, Chung YC, Liu S, Xu Y, Sui J*, Calhoun VD. A Neuroimaging Signature of Cognitive Aging from Whole-Brain Functional Connectivity. Advances Science. 2022; 9(24):e2201621
11、Jiang R*, Woo CW, Qi S, Wu J, Sui J*. Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. IEEE Signal Process Magazine. 2022 Jul;39(4):107-118
12、Jiang R*, Westwater ML, Noble S, Rosenblatt M, Dai W, Qi S, Sui J, Calhoun VD, Scheinost D*. Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank. BMC Medicine. 2022 Sep 9;20(1):286
13、Sui J#*, Jiang R#, Bustillo J, Calhoun V. Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises. Biol Psychiatry. 2020 Dec; 88(11):818-828.
14、Jiang R, Calhoun VD, Cui Y, Qi S, Zhuo C, Li J, Jung R, Yang J, Du Y, Jiang T, Sui J. Multimodal data revealed different neurobiological correlates of intelligence between males and females. Brain Imaging Behav. 2020 Oct; 14(5):1979-1993.
15、Jiang R, Zuo N, Ford JM, Qi S, Zhi D, Zhuo C, Xu Y, Fu Z, Bustillo J, Turner JA, Calhoun VD, Sui J. Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. Neuroimage. 2020 Feb; 207:116370
16、Jiang R, Calhoun VD, Fan L, Zuo N, Jung R, Qi S, Lin D, Li J, Zhuo C, Song M, Fu Z, Jiang T, Sui J. Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores. Cereb Cortex. 2020 Mar; 30(3):888-900.
17、Jiang R, Calhoun VD, Zuo N, Lin D, Li J, Fan L, Qi S, Sun H, Fu Z, Song M, Jiang T, Sui J. Connectome-based individualized prediction of temperament trait scores. Neuroimage. 2018 Dec; 183:366-374.
18、Jiang R, Abbott CC, Jiang T, Du Y, Espinoza R, Narr KL, Wade B, Yu Q, Song M, Lin D, Chen J, Jones T, Argyelan M, Petrides G, Sui J, Calhoun VD. SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets. Neuropsychopharmacology. 2018 Apr; 43(5):1078-1087.
19、Jiang R, Qi S, Du Y, Yan W, Calhoun VD, Jiang, T, Sui J. (2017, September). Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity. In 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) (pp. 1-6). IEEE.
20、Meng X#, Jiang R#, Lin D, Bustillo J, Jones T, Chen J, Yu Q, Du Y, Zhang Y, Jiang T, Sui J, Calhoun VD. Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. Neuroimage. 2017 Jan; 145(Pt B):218-229
