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Cited by in F6Publishing
For: Zhu Y, Qi S, Zhang B, He D, Teng Y, Hu J, Wei X. Connectome-Based Biomarkers Predict Subclinical Depression and Identify Abnormal Brain Connections With the Lateral Habenula and Thalamus. Front Psychiatry 2019;10:371. [PMID: 31244688 DOI: 10.3389/fpsyt.2019.00371] [Cited by in Crossref: 15] [Cited by in F6Publishing: 22] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhang B, Liu S, Chen S, Yan F, Ke Y, Chen L, Ming D, Qi S, Wei X. Common and unique neural activities in subclinical depression and major depressive disorder indicate the development of brain impairments in different depressive stages. Journal of Affective Disorders 2022;317:278-86. [DOI: 10.1016/j.jad.2022.08.128] [Reference Citation Analysis]
2 Zhang Y. Individual prediction of hemispheric similarity of functional connectivity during normal aging. Front Psychiatry 2022;13:1016807. [DOI: 10.3389/fpsyt.2022.1016807] [Reference Citation Analysis]
3 Xu M, Zhang X, Li Y, Chen S, Zhang Y, Zhou Z, Lin S, Dong T, Hou G, Qiu Y. Identification of suicidality in patients with major depressive disorder via dynamic functional network connectivity signatures and machine learning. Transl Psychiatry 2022;12:383. [PMID: 36097160 DOI: 10.1038/s41398-022-02147-x] [Reference Citation Analysis]
4 Yang L, Jin C, Qi S, Teng Y, Li C, Yao Y, Ruan X, Wei X. Alterations of functional connectivity of the lateral habenula in subclinical depression and major depressive disorder. BMC Psychiatry 2022;22:588. [PMID: 36064380 DOI: 10.1186/s12888-022-04221-6] [Reference Citation Analysis]
5 Hitti FL, Parker D, Yang AI, Brem S, Verma R. Laterality and Sex Differences of Human Lateral Habenula Afferent and Efferent Fiber Tracts. Front Neurosci 2022;16:837624. [DOI: 10.3389/fnins.2022.837624] [Reference Citation Analysis]
6 Song Q, Qi S, Jin C, Yang L, Qian W, Yin Y, Zhao H, Yu H. Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation. Front Comput Neurosci 2022;16:825160. [DOI: 10.3389/fncom.2022.825160] [Reference Citation Analysis]
7 Ho CS, Chan Y, Tan TW, Tay GW, Tang T. Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data. Journal of Psychiatric Research 2022;147:194-202. [DOI: 10.1016/j.jpsychires.2022.01.026] [Reference Citation Analysis]
8 Young CJ, Lyons D, Piggins HD. Circadian Influences on the Habenula and Their Potential Contribution to Neuropsychiatric Disorders. Front Behav Neurosci 2022;15:815700. [DOI: 10.3389/fnbeh.2021.815700] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Zhang B, Liu S, Liu X, Chen S, Ke Y, Qi S, Wei X, Ming D. Discriminating subclinical depression from major depression using multi-scale brain functional features: A radiomics analysis. J Affect Disord 2022;297:542-52. [PMID: 34744016 DOI: 10.1016/j.jad.2021.10.122] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
10 Wang M, Chen X, Hu Y, Zhou Y, Wang C, Zheng W, Liu W, Lan X, Ning Y, Zhang B. Functional connectivity between the habenula and default mode network and its association with the antidepressant effect of ketamine. Depress Anxiety 2021. [PMID: 34964207 DOI: 10.1002/da.23238] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
11 Li L, Jiang H, Wen G, Cao P, Xu M, Liu X, Yang J, Zaiane O. TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics 2021. [PMID: 34761367 DOI: 10.1007/s12021-021-09548-1] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
12 Jin C, Qi S, Teng Y, Li C, Yao Y, Ruan X, Wei X. Altered Degree Centrality of Brain Networks in Parkinson's Disease With Freezing of Gait: A Resting-State Functional MRI Study. Front Neurol 2021;12:743135. [PMID: 34707559 DOI: 10.3389/fneur.2021.743135] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
13 Cho SE, Kim N, Na KS, Kang CK, Kang SG. Thalamo-Habenular Connection Differences Between Patients With Major Depressive Disorder and Normal Controls. Front Psychiatry 2021;12:699416. [PMID: 34539461 DOI: 10.3389/fpsyt.2021.699416] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
14 Sosa R, Mata-Luévanos J, Buenrostro-Jáuregui M. The Role of the Lateral Habenula in Inhibitory Learning from Reward Omission. eNeuro 2021;8:ENEURO. [PMID: 33962969 DOI: 10.1523/ENEURO.0016-21.2021] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
15 Maallo AMS, Moulton EA, Sieberg CB, Giddon DB, Borsook D, Holmes SA. A lateralized model of the pain-depression dyad. Neurosci Biobehav Rev 2021;127:876-83. [PMID: 34090918 DOI: 10.1016/j.neubiorev.2021.06.003] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
16 Zhang B, Qi S, Liu S, Liu X, Wei X, Ming D. Altered spontaneous neural activity in the precuneus, middle and superior frontal gyri, and hippocampus in college students with subclinical depression. BMC Psychiatry 2021;21:280. [PMID: 34074266 DOI: 10.1186/s12888-021-03292-1] [Cited by in F6Publishing: 7] [Reference Citation Analysis]
17 Amiri S, Arbabi M, Kazemi K, Parvaresh-Rizi M, Mirbagheri MM. Characterization of brain functional connectivity in treatment-resistant depression. Prog Neuropsychopharmacol Biol Psychiatry 2021;111:110346. [PMID: 33961964 DOI: 10.1016/j.pnpbp.2021.110346] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
18 Jin C, Qi S, Teng Y, Li C, Yao Y, Ruan X, Wei X. Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease. Front Neurol 2021;12:609866. [PMID: 33935931 DOI: 10.3389/fneur.2021.609866] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
19 Qin D, Qian H, Qi S, Teng Y, Wu J. ANALYSIS OF RS-FMRI IMAGES CLARIFIES BRAIN ALTERATIONS IN TYPE 2 DIABETES MELLITUS PATIENTS WITH COGNITIVE IMPAIRMENT. J Mech Med Biol 2021;21:2140015. [DOI: 10.1142/s0219519421400157] [Reference Citation Analysis]
20 Cheng Y, Zhang G, Zhang X, Li Y, Li J, Zhou J, Huang L, Xie S, Shen W. Identification of minimal hepatic encephalopathy based on dynamic functional connectivity. Brain Imaging Behav 2021. [PMID: 33755921 DOI: 10.1007/s11682-021-00468-x] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
21 Ho HY, Chin-Hung Chen V, Tzang BS, Hsieh CC, Wang WK, Weng YP, Hsu YT, Hsaio HP, Weng JC, Chen YL. Circulating cytokines as predictors of depression in patients with breast cancer. J Psychiatr Res 2021;136:306-11. [PMID: 33636686 DOI: 10.1016/j.jpsychires.2021.02.037] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
22 Qian H, Qin D, Qi S, Teng Y, Li C, Yao Y, Wu J. Less Is Better: Single-Digit Brain Functional Connections Predict T2DM and T2DM-Induced Cognitive Impairment. Front Neurosci 2020;14:588684. [PMID: 33505236 DOI: 10.3389/fnins.2020.588684] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
23 Jiang H, Cao P, Xu M, Yang J, Zaiane O. Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction. Computers in Biology and Medicine 2020;127:104096. [DOI: 10.1016/j.compbiomed.2020.104096] [Cited by in Crossref: 4] [Cited by in F6Publishing: 20] [Article Influence: 2.0] [Reference Citation Analysis]