Hu B - Search Results

1

Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review.

Li J, Chen J, Kong W, Li X, Hu B. Li J, et al. Among authors: hu b. J Affect Disord. 2022 Jan 1;296:622-634. doi: 10.1016/j.jad.2021.09.074. Epub 2021 Sep 28. J Affect Disord. 2022. PMID: 34688026 Review.

2

Attentional bias in MDD: ERP components analysis and classification using a dot-probe task.

Li X, Li J, Hu B, Zhu J, Zhang X, Wei L, Zhong N, Li M, Ding Z, Yang J, Zhang L. Li X, et al. Among authors: hu b. Comput Methods Programs Biomed. 2018 Oct;164:169-179. doi: 10.1016/j.cmpb.2018.07.003. Epub 2018 Jul 17. Comput Methods Programs Biomed. 2018. PMID: 30195425

3

Graph Theory Analysis of Functional Connectivity in Major Depression Disorder With High-Density Resting State EEG Data.

Sun S, Li X, Zhu J, Wang Y, La R, Zhang X, Wei L, Hu B. Sun S, et al. Among authors: hu b. IEEE Trans Neural Syst Rehabil Eng. 2019 Mar;27(3):429-439. doi: 10.1109/TNSRE.2019.2894423. Epub 2019 Jan 23. IEEE Trans Neural Syst Rehabil Eng. 2019. PMID: 30676968

4

Structural alterations of the brain preceded functional alterations in major depressive disorder patients: Evidence from multimodal connectivity.

Yao Z, Zou Y, Zheng W, Zhang Z, Li Y, Yu Y, Zhang Z, Fu Y, Shi J, Zhang W, Wu X, Hu B. Yao Z, et al. Among authors: hu b. J Affect Disord. 2019 Jun 15;253:107-117. doi: 10.1016/j.jad.2019.04.064. Epub 2019 Apr 10. J Affect Disord. 2019. PMID: 31035211

5

The Global Properties of Objects Play the Main Role in Facilitating Multiple Object Tracking Performance.

Wei L, Zhang X, Li Z, Hu B, Li X. Wei L, et al. Among authors: hu b. Front Psychol. 2019 Apr 26;10:924. doi: 10.3389/fpsyg.2019.00924. eCollection 2019. Front Psychol. 2019. PMID: 31105626 Free PMC article.

6

Altered dynamic functional connectivity in weakly-connected state in major depressive disorder.

Yao Z, Shi J, Zhang Z, Zheng W, Hu T, Li Y, Yu Y, Zhang Z, Fu Y, Zou Y, Zhang W, Wu X, Hu B. Yao Z, et al. Among authors: hu t, hu b. Clin Neurophysiol. 2019 Nov;130(11):2096-2104. doi: 10.1016/j.clinph.2019.08.009. Epub 2019 Aug 23. Clin Neurophysiol. 2019. PMID: 31541987

7

Depression recognition using machine learning methods with different feature generation strategies.

Li X, Zhang X, Zhu J, Mao W, Sun S, Wang Z, Xia C, Hu B. Li X, et al. Among authors: hu b. Artif Intell Med. 2019 Aug;99:101696. doi: 10.1016/j.artmed.2019.07.004. Epub 2019 Jul 17. Artif Intell Med. 2019. PMID: 31606115

8

A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography.

Li X, La R, Wang Y, Hu B, Zhang X. Li X, et al. Among authors: hu b. Front Neurosci. 2020 Apr 1;14:192. doi: 10.3389/fnins.2020.00192. eCollection 2020. Front Neurosci. 2020. PMID: 32300286 Free PMC article.

9

An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data.

Zhu J, Wang Z, Gong T, Zeng S, Li X, Hu B, Li J, Sun S, Zhang L. Zhu J, et al. Among authors: hu b. IEEE Trans Nanobioscience. 2020 Jul;19(3):527-537. doi: 10.1109/TNB.2020.2990690. Epub 2020 Apr 27. IEEE Trans Nanobioscience. 2020. PMID: 32340958

10

How Do Humans Perform in Multiple Object Tracking With Unstable Features.

Zhao C, Hu L, Wei L, Wang C, Li X, Hu B, Zhang X. Zhao C, et al. Among authors: hu l, hu b. Front Psychol. 2020 Jul 31;11:1940. doi: 10.3389/fpsyg.2020.01940. eCollection 2020. Front Psychol. 2020. PMID: 32849139 Free PMC article.

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