MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder

Author:

Qi Shile12,Yang Xiao34,Zhao Liansheng34,Calhoun Vince D5678,Perrone-Bizzozero Nora78,Liu Shengfeng1,Jiang Rongtao12,Jiang Tianzi129,Sui Jing1259,Ma Xiaohong34

Affiliation:

1. Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China

2. University of Chinese Academy of Sciences, China

3. Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, China

4. Huaxi Brain Research Center, West China Hospital of Sichuan University, China

5. The Mind Research Network, Albuquerque, NM, USA

6. Department of Electronical and Computer Engineering, University of New Mexico, USA

7. Department of Neurosciences and Psychiatry, University of New Mexico, USA

8. Department of Psychiatry, Yale University, CT, USA

9. CAS Centre for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, China

Funder

National High-Tech Development Program

‘100 Talents Plan’ of Chinese Academy of Sciences

Chinese National Natural Science Foundation

Strategic Priority Research Program of the Chinese Academy of Sciences

National Science and Technology Support plan

NIH

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

Reference54 articles.

1. Low glial numbers in the amygdala in major depressive disorder;Bowley;Biol Psychiatry,2002

2. Structural and functional neuroimaging studies in major depressive disorder with psychotic features: a critical review;Busatto;Schizophr Bull,2013

3. Feature-based fusion of medical imaging data;Calhoun;IEEE Trans Inf Technol Biomed,2009

4. Multimodal fusion of brain imaging data: a key to finding the missing link(s) in complex mental illness;Calhoun;Biol Psychiatry,2016

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3