title: Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.
abstract: Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data. Features from 3 modalities (fMRI, sMRI, dMRI) obtained from 147 schizophrenia patients and 147 age-matched healthy controls were included as fusion input, who participated in the Function Biomedical Informatics Research Network (FBIRN) Phase III study. Our aim was to investigate the group co-alterations seen in three types of MRI data that are also correlated with working memory performance. One joint IC was found both significantly group-discriminating (p=7.4E-06, 0.001, 7.0E-09) and highly correlated with working memory scores(r=0.296, 0.241, 0.301) and PANSS negative scores (r=-0.229, -0.276, -0.240) for fMRI, dMRI and sMRI, respectively. Given the simulation and FBIRN results, MCCAR+jICA is shown to be an effective multivariate approach to extract accurate and stable multimodal components associated with a particular measure of interest, and promises a wide application in identifying potential neuromarkers for mental disorders.
authors.lastname: Shile Qi
authors.forename: Vince D
authors.initials: VD
authors.lastname: Calhoun
authors.forename: Theo G M
authors.initials: TG
authors.lastname: van Erp
authors.forename: Eswar
authors.initials: E
authors.lastname: Damaraju
authors.forename: Juan
authors.initials: J
authors.lastname: Bustillo
authors.lastname: Yuhui Du
authors.forename: Jessica A
authors.initials: JA
authors.lastname: Turner
authors.forename: Daniel H
authors.initials: DH
authors.lastname: Mathalon
authors.forename: Judith M
authors.initials: JM
authors.lastname: Ford
authors.forename: James
authors.initials: J
authors.lastname: Voyvodic
authors.forename: Bryon A
authors.initials: BA
authors.lastname: Mueller
authors.forename: Aysenil
authors.initials: A
authors.lastname: Belger
authors.forename: Sarah
authors.initials: S
authors.lastname: McEwen
authors.forename: Steven G
authors.initials: SG
authors.lastname: Potkin
authors.forename: Adrian
authors.initials: A
authors.lastname: Preda
authors.forename: F
authors.initials: F
authors.lastname: Birn
authors.lastname: Tianzi Jiang
authors.lastname: Jing Sui
mesh_terms: D001931:Brain Mapping / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008569:Memory Disorders / Q000000981:diagnostic imaging / Q000503:physiopathology; D008570:Memory, Short-Term / Q000502:physiology; D064847:Multimodal Imaging / Q000379:methods*; D012559:Schizophrenia / Q000000981:diagnostic imaging / Q000503:physiopathology