title: Brain structure-function associations identified in large-scale neuroimaging data.
abstract: The relationships between structural and functional measures of the human brain remain largely unknown. A majority of our limited knowledge regarding structure-function associations has been obtained through comparisons between specific groups of patients and healthy controls. Unfortunately, a direct and complete view of the associations across multiple structural and functional metrics in normal population is missing. We filled this gap by learning cross-individual co-variance among structural and functional measures using large-scale neuroimaging datasets. A discover-confirm scheme was applied to two independent samples (N = 184 and N = 340) of multi-modal neuroimaging datasets. A data mining tool, gRAICAR, was employed in the discover stage to generate quantitative and unbiased hypotheses of the co-variance among six functional and six structural imaging metrics. These hypotheses were validated using an independent dataset in the confirm stage. Fifteen multi-metric co-variance units, representing different co-variance relationships among the 12 metrics, were reliable across the two sets of neuroimaging datasets. The reliable co-variance units were summarized into a database, where users can select any location on the cortical map of any metric to examine the co-varying maps with the other 11 metrics. This database characterized the six functional metrics based on their co-variance with structural metrics, and provided a detailed reference to connect previous findings using different metrics and to predict maps of unexamined metrics. Gender, age, and handedness were associated to the co-variance units, and a sub-study of schizophrenia demonstrated the usefulness of the co-variance database.
authors.affiliation: Key Laboratory of Behavioral Science, Laboratory for Functional Connectome and Development and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China. yangz@psych.ac.cn.|Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Beijing, 100101, China. yangz@psych.ac.cn.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Yang
authors.affiliation: Faculty of Psychology, Southwest University, Chongqing, 400715, China.
authors.forename: Jiang
authors.initials: J
authors.lastname: Qiu
authors.affiliation: Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100069, China.|Center for Higher Brain Function Research, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China.
authors.forename: Peipei
authors.initials: P
authors.lastname: Wang
authors.affiliation: Key Laboratory of Behavioral Science, Laboratory for Functional Connectome and Development and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.|University of Chinese Academy of Sciences, Beijing, 100049, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Liu
authors.affiliation: Key Laboratory of Behavioral Science, Laboratory for Functional Connectome and Development and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China. zuoxn@psych.ac.cn.|Faculty of Psychology, Southwest University, Chongqing, 400715, China. zuoxn@psych.ac.cn.|Department of Psychology, School of Education Science, Guangxi Teachers Education University, Nanning, 530001, Guangxi, China. zuoxn@psych.ac.cn.
authors.forename: Xi-Nian
authors.identifier: 0000-0001-9110-585X
authors.initials: XN
authors.lastname: Zuo
mesh_terms: D000293:Adolescent; D000328:Adult; D001921:Brain / Q000033:anatomy & histology* / Q000000981:diagnostic imaging / Q000473:pathology / Q000502:physiology*; D063132:Connectome / Q000379:methods*; D016208:Databases, Factual; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D059906:Neuroimaging / Q000379:methods*; D015203:Reproducibility of Results; D012559:Schizophrenia / Q000000981:diagnostic imaging / Q000473:pathology; D055815:Young Adult
keywords: Connectomics; Data mining; Independent component analysis; Multi-modal integration; Structure–function association