Imaging epigenetics study of schizophrenia with structure-enforced collaborative regression

Yuntong Bai, Isabelle Lian, Xiao Zhang, Anqi Liu, Vince D. Calhoun, Yu Ping Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the study of complex mental disorders like schizophrenia (SZ), while imaging genetics has achieved great success, imaging epigenetics is attracting increasing attention as it considers the impact of environmental factors on gene expression and resulting phenotypic changes. In this study, we aimed to fill the gap by jointly analyzing imaging and epigenetics data to study SZ. More specifically, we proposed a novel structure-enforced collaborative regression model (SCoRe) to extract co-expressed discriminative features related to SZ from fMRI and DNA methylation data. SCoRe can utilize phenotypical information while enforce an agreement between multiple data views. Moreover, it also considers the group structure within each view of data. The brain network based on fMRI data can be divided into 116 regions of interests (ROIs) based on anatomical structures of the brain and the DNA methylation data can be grouped based on pathway information, which are used as prior knowledge to be incorporated into the learning model. After validation through simulation test, we applied the model to SZ study with data collected by MIND Clinical Imaging Consortium (MCIC). Through integrating fMRI and DNA methylation data of 184 participants (104 SZ and 80 healthy subjects), we succeeded in identifying 8 important brain regions and 3 genes associated with SZ. This study can shed light on the understanding of SZ from both brain imaging and epigenomics, complementary to imaging genomics.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2020
Subtitle of host publicationImaging Informatics for Healthcare, Research, and Applications
EditorsPo-Hao Chen, Thomas M. Deserno
PublisherSPIE
ISBN (Electronic)9781510634039
DOIs
StatePublished - Jan 1 2020
Externally publishedYes
EventMedical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications - Houston, United States
Duration: Feb 16 2020Feb 17 2020

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11318
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications
CountryUnited States
CityHouston
Period2/16/202/17/20

Keywords

  • Correlative analysis
  • DNA methylation
  • FMRI
  • Imaging epigenetics
  • Multi-view learning
  • Schizophrenia

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Bai, Y., Lian, I., Zhang, X., Liu, A., Calhoun, V. D., & Wang, Y. P. (2020). Imaging epigenetics study of schizophrenia with structure-enforced collaborative regression. In P-H. Chen, & T. M. Deserno (Eds.), Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications [113180F] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11318). SPIE. https://doi.org/10.1117/12.2549651