A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study.

ABSTRACT: Multimodal, imaging-genomics techniques offer a platform for understanding genetic influences on brain abnormalities in psychiatric disorders. Such approaches utilize the information available from both imaging and genomics data and identify their association. Particularly for complex disorders such as schizophrenia, the relationship between imaging and genomic features may be better understood by incorporating additional information provided by advanced multimodal modeling. In this study, we propose a novel framework to combine features corresponding to functional magnetic resonance imaging (functional) and single nucleotide polymorphism (SNP) data from 61 schizophrenia (SZ) patients and 87 healthy controls (HC). In particular, the features for the functional and genetic modalities includ

SUBMITTER: Rashid B 

PROVIDER: S-EPMC6230505 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature