Abstract

Cognitive impairment is a feature of many psychiatric diseases, including schizophrenia. Here we aim to identify multimodal biomarkers for quantifying and predicting cognitive performance in individuals with schizophrenia and healthy controls. A supervised learning strategy is used to guide three-way multimodal magnetic resonance imaging (MRI) fusion in two independent cohorts including both healthy individuals and individuals with schizophrenia using multiple cognitive domain scores. Results highlight the salience network (gray matter, GM), corpus callosum (fractional anisotropy, FA), central executive and default-mode networks (fractional amplitude of low-frequency fluctuation, fALFF) as modality-specific biomarkers of generalized cognition. FALFF features are found to be more sensitive to cognitive domain differences, while the salience network in GM and corpus callosum in FA are highly consistent and predictive of multiple cognitive domains. These modality-specific brain regions define—in three separate cohorts—promising co-varying multimodal signatures that can be used as predictors of multi-domain cognition.

Details

Title
Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion
Author
Sui, Jing 1   VIAFID ORCID Logo  ; Shile Qi 2   VIAFID ORCID Logo  ; Theo G M van Erp 3   VIAFID ORCID Logo  ; Bustillo, Juan 4 ; Jiang, Rongtao 2 ; Lin, Dongdong 5   VIAFID ORCID Logo  ; Turner, Jessica A 6 ; Damaraju, Eswar 5 ; Mayer, Andrew R 7 ; Cui, Yue 8 ; Fu, Zening 5 ; Du, Yuhui 5   VIAFID ORCID Logo  ; Chen, Jiayu 5   VIAFID ORCID Logo  ; Potkin, Steven G 3 ; Preda, Adrian 3 ; Mathalon, Daniel H 9 ; Ford, Judith M 9 ; Voyvodic, James 10 ; Mueller, Bryon A 11   VIAFID ORCID Logo  ; Belger, Aysenil 12 ; McEwen, Sarah C 13 ; Daniel S O’Leary 14 ; McMahon, Agnes 15   VIAFID ORCID Logo  ; Jiang, Tianzi 16   VIAFID ORCID Logo  ; Calhoun, Vince D 17   VIAFID ORCID Logo 

 Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; The Mind Research Network, Albuquerque, NM, USA; University of Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China 
 Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China 
 Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA 
 Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA 
 The Mind Research Network, Albuquerque, NM, USA 
 The Mind Research Network, Albuquerque, NM, USA; Department of Psychology and Neuroscience, Georgia State University, Atlanta, GA, USA 
 The Mind Research Network, Albuquerque, NM, USA; Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA 
 Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 
 Department of Psychiatry, University of California, San Francisco, CA, USA; San Francisco VA Medical Center, San Francisco, CA, USA 
10  Department of Radiology, Brain Imaging and Analysis Center, Duke University, Durham, NC, USA 
11  Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA 
12  Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA 
13  Department of Psychiatry, University of California, San Diego, CA, USA 
14  Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa, IA, USA 
15  USC Stevens Neuroimaging and Informatics Institute, University of Southern California, San Diego, CA, USA 
16  Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China 
17  The Mind Research Network, Albuquerque, NM, USA; Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA 
Pages
1-14
Publication year
2018
Publication date
Aug 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2082079350
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.