Biomarker Identification Through Integrating fMRI and Epigenetics.

ABSTRACT:

Objective

Integration of multiple datasets is a hot topic in many fields. When studying complex mental disorders, great effort has been dedicated to fusing genetic and brain imaging data. However, an increasing number of studies have pointed out the importance of epigenetic factors in the cause of psychiatric diseases. In this study, we endeavor to fill the gap by combining epigenetics (e.g., DNA methylation) with imaging data (e.g., fMRI) to identify biomarkers for schizophrenia (SZ).

Methods

We propose to combine linear regression with canonical correlation analysis (CCA) in a relaxed yet coupled manner to extract discriminative features for SZ that are co-expressed in the fMRI and DNA methylation data.

Result

After validation through simulations, we applied our met

SUBMITTER: Bai Y 

PROVIDER: S-EPMC8895412 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature