Nature Communications (Aug 2018)
Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion
- Jing Sui,
- Shile Qi,
- Theo G. M. van Erp,
- Juan Bustillo,
- Rongtao Jiang,
- Dongdong Lin,
- Jessica A. Turner,
- Eswar Damaraju,
- Andrew R. Mayer,
- Yue Cui,
- Zening Fu,
- Yuhui Du,
- Jiayu Chen,
- Steven G. Potkin,
- Adrian Preda,
- Daniel H. Mathalon,
- Judith M. Ford,
- James Voyvodic,
- Bryon A. Mueller,
- Aysenil Belger,
- Sarah C. McEwen,
- Daniel S. O’Leary,
- Agnes McMahon,
- Tianzi Jiang,
- Vince D. Calhoun
Affiliations
- Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
- Shile Qi
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
- Theo G. M. van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine
- Juan Bustillo
- Department of Psychiatry, University of New Mexico
- Rongtao Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
- Dongdong Lin
- The Mind Research Network
- Jessica A. Turner
- The Mind Research Network
- Eswar Damaraju
- The Mind Research Network
- Andrew R. Mayer
- The Mind Research Network
- Yue Cui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
- Zening Fu
- The Mind Research Network
- Yuhui Du
- The Mind Research Network
- Jiayu Chen
- The Mind Research Network
- Steven G. Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine
- Adrian Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine
- Daniel H. Mathalon
- Department of Psychiatry, University of California
- Judith M. Ford
- Department of Psychiatry, University of California
- James Voyvodic
- Department of Radiology, Brain Imaging and Analysis Center, Duke University
- Bryon A. Mueller
- Department of Psychiatry, University of Minnesota
- Aysenil Belger
- Department of Psychiatry, University of North Carolina School of Medicine
- Sarah C. McEwen
- Department of Psychiatry, University of California
- Daniel S. O’Leary
- Department of Psychiatry, University of Iowa Carver College of Medicine
- Agnes McMahon
- USC Stevens Neuroimaging and Informatics Institute, University of Southern California
- Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
- Vince D. Calhoun
- The Mind Research Network
- DOI
- https://doi.org/10.1038/s41467-018-05432-w
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 14
Abstract
Cognitive impairment is a feature of many psychiatric diseases. Here the authors aimed to identify multimodal neuromarkers that can be used to quantify and predict cognitive performance in individuals with schizophrenia using three different features of MRI and three independent cohorts.
