| 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 | 124 | 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 | 111 | 2020 |
| Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders J Zhao, J Huang, D Zhi, W Yan, X Ma, X Yang, X Li, Q Ke, T Jiang, ... Journal of neuroscience methods 341, 108756, 2020 | 44 | 2020 |
| 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 | 28 | 2020 |
| Parallel group ICA+ ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia S Qi, J Sui, J Chen, J Liu, R Jiang, R Silva, A Iraji, E Damaraju, M Salman, ... Human brain mapping 40 (13), 3795-3809, 2019 | 28 | 2019 |
| 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 | 27 | 2022 |
| 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 | 27 | 2021 |
| An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data M Zhao, W Yan, N Luo, D Zhi, Z Fu, Y Du, S Yu, T Jiang, VD Calhoun, ... Medical image analysis 78, 102413, 2022 | 24 | 2022 |
| Electroconvulsive therapy treatment responsive multimodal brain networks S Qi, CC Abbott, KL Narr, R Jiang, J Upston, SM McClintock, R Espinoza, ... Human brain mapping 41 (7), 1775-1785, 2020 | 23 | 2020 |
| Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage, 207, Article 116370 R Jiang, N Zuo, JM Ford, S Qi, D Zhi, C Zhuo, Y Xu, Z Fu, J Bustillo, ... | 21 | 2019 |
| Aberrant functional network connectivity transition probability in major depressive disorder E Zendehrouh, MSE Sendi, J Sui, Z Fu, D Zhi, L Lv, X Ma, Q Ke, X Li, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 19 | 2020 |
| The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study S Qi, J Bustillo, JA Turner, R Jiang, D Zhi, Z Fu, TP Deramus, V Vergara, ... Translational psychiatry 10 (1), 149, 2020 | 18 | 2020 |
| Abnormal dynamic functional network connectivity estimated from default mode network predicts symptom severity in major depressive disorder MSE Sendi, E Zendehrouh, J Sui, Z Fu, D Zhi, L Lv, X Ma, Q Ke, X Li, ... Brain Connectivity 11 (10), 838-849, 2021 | 16 | 2021 |
| Visualizing functional network connectivity difference between healthy control and major depressive disorder using an explainable machine-learning method JY Chun, MSE Sendi, J Sui, D Zhi, VD Calhoun 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 14 | 2020 |
| Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data S Qi, RF Silva, D Zhang, SM Plis, R Miller, VM Vergara, R Jiang, D Zhi, ... Human brain mapping 43 (4), 1280-1294, 2022 | 12 | 2022 |
| Aberrant dynamic functional connectivity of default mode network predicts symptom severity in major depressive disorder MSE Sendi, E Zendehrouh, J Sui, Z Fu, D Zhi, L Lv, X Ma, Q Ke, X Li, ... Brain Connect 10, 2021 | 12 | 2021 |
| Abnormal dynamic functional network connectivity and graph theoretical analysis in major depressive disorder D Zhi, X Ma, L Lv, Q Ke, Y Yang, X Yang, M Pan, S Qi, R Jiang, Y Du, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 9 | 2018 |
| Canonical and Replicable Multi-Scale Intrinsic Connectivity Networks in 100k+ Resting-State fMRI Datasets A Iraji, Z Fu, A Faghiri, M Duda, J Chen, S Rachakonda, T DeRamus, ... bioRxiv, 2022.09. 03.506487, 2022 | 8 | 2022 |
| BNCPL: brain-network-based convolutional prototype learning for discriminating depressive disorders D Zhi, VD Calhoun, C Wang, X Li, X Ma, L Lv, W Yan, D Yao, S Qi, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Identifying canonical and replicable multi‐scale intrinsic connectivity networks in 100k+ resting‐state fMRI datasets A Iraji, Z Fu, A Faghiri, M Duda, J Chen, S Rachakonda, T DeRamus, ... Human brain mapping 44 (17), 5729-5748, 2023 | 5 | 2023 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
