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Xinyi Wang
Xinyi Wang
在 seu.edu.cn 的电子邮件经过验证
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Altered regional homogeneity in patients with somatic depression: A resting-state fMRI study
J Geng, R Yan, J Shi, Y Chen, Z Mo, J Shao, X Wang, Z Yao, Q Lu
Journal of Affective Disorders 246, 498-505, 2019
692019
Early identification of bipolar from unipolar depression before manic episode: evidence from dynamic rfMRI
J Shao, Z Dai, R Zhu, X Wang, S Tao, K Bi, S Tian, H Wang, Y Sun, Z Yao, ...
Bipolar disorders 21 (8), 774-784, 2019
422019
Structural–functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode
H Jiang, R Zhu, S Tian, H Wang, Z Chen, X Wang, J Shao, J Qin, J Shi, ...
Neuropsychopharmacology 45 (10), 1735-1742, 2020
352020
Ensemble learning for early‐response prediction of antidepressant treatment in major depressive disorder
C Pei, Y Sun, J Zhu, X Wang, Y Zhang, S Zhang, Z Yao, Q Lu
Journal of Magnetic Resonance Imaging 52 (1), 161-171, 2020
332020
Brain functional abnormalities in the amygdala subregions is associated with anxious depression
J Qiao, S Tao, X Wang, J Shi, Y Chen, S Tian, Z Yao, Q Lu
Journal of Affective Disorders 276, 653-659, 2020
282020
Aberrant functional connectivity and graph properties in bipolar II disorder with suicide attempts
H Wang, R Zhu, Z Dai, S Tian, J Shao, X Wang, Y Sun, Z Chen, X Li, ...
Journal of affective disorders 275, 202-209, 2020
252020
Temporal dynamics alterations of spontaneous neuronal activity in anterior cingulate cortex predict suicidal risk in bipolar II patients
S Tian, R Zhu, MR Chattun, H Wang, Z Chen, S Zhang, J Shao, X Wang, ...
Brain imaging and behavior, 1-11, 2021
222021
Discriminating suicide attempters and predicting suicide risk using altered frontolimbic resting-state functional connectivity in patients with bipolar II disorder
R Zhu, S Tian, H Wang, H Jiang, X Wang, J Shao, Q Wang, R Yan, S Tao, ...
Frontiers in psychiatry 11, 597770, 2020
202020
Antidepressants normalize brain flexibility associated with multi-dimensional symptoms in major depressive patients
S Tian, S Zhang, Z Mo, MR Chattun, Q Wang, L Wang, R Zhu, J Shao, ...
Progress in Neuro-Psychopharmacology and Biological Psychiatry 100, 109866, 2020
182020
Rehabilitative compensatory mechanism of hierarchical subnetworks in major depressive disorder: a longitudinal study across multi-sites
X Wang, J Qin, J Zhu, K Bi, S Zhang, R Yan, P Zhao, Z Yao, Q Lu
European Psychiatry 58, 54-62, 2019
182019
Differentiation of transformed bipolar disorder from unipolar depression by resting-state functional connectivity within reward circuit
J Shi, J Geng, R Yan, X Liu, Y Chen, R Zhu, X Wang, J Shao, K Bi, M Xiao, ...
Frontiers in psychology 9, 2586, 2018
152018
Gradually evaluating of suicidal risk in depression by semi-supervised cluster analysis on resting-state fMRI
Z Dai, X Shen, S Tian, R Yan, H Wang, X Wang, ZJ Yao, Q Lu
Brain imaging and behavior 15, 2149-2158, 2021
142021
Predicting neuroimaging biomarkers for antidepressant selection in early treatment of depression
L Xue, C Pei, X Wang, H Wang, S Tian, Z Yao, Q Lu
Journal of Magnetic Resonance Imaging 54 (2), 551-559, 2021
132021
Sub‐second transient activated patterns to sad expressions in major depressive disorders discovered via hidden Markov model
Z Dai, S Zhang, X Wang, H Wang, H Zhou, S Tian, Z Chen, Q Lu, Z Yao
Journal of Neuroscience Research 99 (12), 3250-3260, 2021
82021
Aberrant temporal-spatial patterns to sad expressions in major depressive disorders via hidden markov model
Z Dai, S Zhang, H Zhou, X Wang, H Wang, Z Yao, Q Lu
bioRxiv, 2021.03. 07.433735, 2021
22021
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