Gradually evaluating of suicidal risk in depression by semi-supervised cluster analysis on resting-state fMRI-Reference-Cited by-同舟云学术

Gradually evaluating of suicidal risk in depression by semi-supervised cluster analysis on resting-state fMRI

Published:2020-11-05 Issue:4 Volume:15 Page:2149-2158
ISSN:1931-7557
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Dai Zhongpeng,Shen Xiangyu,Tian Shui,Yan Rui,Wang Huan,Wang Xinyi,Yao ZhiJian,Lu Qing^ORCID

Funder

the National High-tech Research and Development Program of China

the National Natural Science Foundation of China

National Natural Science Foundation of China

Collaborative Innovation Center for Water Treatment Technology and Materials

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Clinical Neurology,Cognitive Neuroscience,Neurology,Radiology Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s11682-020-00410-7.pdf

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4. Chase, H. W., Segreti, A. M., Keller, T. A., Cherkassky, V. L., Just, M. A., Pan, L. A., & Brent, D. A. (2017). Alterations of functional connectivity and intrinsic activity within the cingulate cortex of suicidal ideators. Journal of Affective Disorders, 212, 78–85.

5. Cigrang, J. A., Balderrama-Durbin, C., Snyder, D. K., Talcott, G. W., Tatum, J., Baker, M., Cassidy, D., Sonnek, S., Smith Slep, A. M., & Heyman, R. E. (2015). Predictors of suicidal ideation across deployment: A prospective study. Journal of Clinical Psychology, 71(9), 828–842. https://doi.org/10.1002/jclp.22192.

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