Extraction of co-expressed discriminative features of schizophrenia in imaging epigenetics framework

Yuntong Bai, Zille Pascal, Vince D. Calhoun, Yu Ping Wang

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

Abstract

Integration of imaging and non-imaging data has been a heated topic in biomedicine. While functional magnetic resonance imaging (fMRI) can serve as endo-phenotype for mental disorders, many recent researches have confirmed the essential role played by epigenetic factors in the progress of various mental diseases including Schizophrenia(SZ), which fosters an emerging branch imaging epigenetics. In this study, we focus on the integration of fMRI and DNA methylation to have a deeper understanding of SZ: we applied a model combining Lasso with Canonical Correlation Analysis (CCA) for joint DNA methylation and fMRI analysis of 184 subjects (80 patients,104 healthy controls). In the model, the regression term focuses on extracting the discriminative features associated with the disease, while the CCA term incorporates the co-expression among extracted features.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2019
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
EditorsBarjor Gimi, Andrzej Krol
PublisherSPIE
ISBN (Electronic)9781510625532
DOIs
StatePublished - Jan 1 2019
Externally publishedYes
EventMedical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States
Duration: Feb 19 2019Feb 21 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10953
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CitySan Diego
Period2/19/192/21/19

Keywords

  • collaborative learning
  • feature selection
  • imaging epigenetics
  • multi-task learning
  • schizophrenia

ASJC Scopus subject areas

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

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  • Cite this

    Bai, Y., Pascal, Z., Calhoun, V. D., & Wang, Y. P. (2019). Extraction of co-expressed discriminative features of schizophrenia in imaging epigenetics framework. In B. Gimi, & A. Krol (Eds.), Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging [109530X] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10953). SPIE. https://doi.org/10.1117/12.2513024