| Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression HX Zhou, X Chen, YQ Shen, L Li, NX Chen, ZC Zhu, FX Castellanos, ... Neuroimage 206, 116287, 2020 | 497 | 2020 |
| Disrupted intrinsic functional brain topology in patients with major depressive disorder H Yang, X Chen, ZB Chen, L Li, XY Li, FX Castellanos, TJ Bai, QJ Bo, ... Molecular psychiatry 26 (12), 7363-7371, 2021 | 146 | 2021 |
| The subsystem mechanism of default mode network underlying rumination: A reproducible neuroimaging study X Chen, NX Chen, YQ Shen, HX Li, L Li, B Lu, ZC Zhu, Z Fan, CG Yan Neuroimage 221, 117185, 2020 | 74 | 2020 |
| A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples B Lu, HX Li, ZK Chang, L Li, NX Chen, ZC Zhu, HX Zhou, XY Li, YW Wang, ... Journal of Big Data 9 (1), 101, 2022 | 68 | 2022 |
| Reduced nucleus accumbens functional connectivity in reward network and default mode network in patients with recurrent major depressive disorder YD Ding, X Chen, ZB Chen, L Li, XY Li, FX Castellanos, TJ Bai, QJ Bo, ... Translational psychiatry 12 (1), 236, 2022 | 43 | 2022 |
| Classification of sex and Alzheimer’s disease via brain imaging-based deep learning on 85,721 samples B Lu, HX Li, ZK Chang, L Li, NX Chen, ZC Zhu learning 28, 29, 2021 | 2 | 2021 |
| Reproducible observations revealing patterns of the default mode network underlie rumination X Chen, NX Chen, YQ Shen, HX Li, L Li, B Lu, ZC Zhu, Z Fan, CG Yan bioRxiv, 841239, 2019 | 2 | 2019 |
| A Brain Imaging-Based Deep Learning Classifier for Sex and Alzheimer’s Disease B Lu, HX Li, ZK Chang, L Li, NX Chen, ZC Zhu, HX Zhou, Z Fan, H Yang, ... bioRxiv, 2020.08. 18.256594, 2020 | 1 | 2020 |
