Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis

Dongdong Lin, Jigang Zhang, Jingyao Li, Vince Calhoun, Yu Ping Wang

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

Abstract

We investigate the correspondence between genetic variations with single nucleotide polymorphism (SNP) and brain activity measured by functional magnetic resonance imaging (fMRI). A group sparse canonical correlation analysis method (group sparse CCA) was proposed to explore the correlation between these two types of data, which are high dimensional with small number of samples. It can exploit the group or structural information within the data while filter out irrelevant features within each group. Our method outperforms the existing sparse CCA (sCCA) models in a simulation study. By applying it to the analysis of real data, we identified two pairs of significant canonical variates with correlations 0.7692 and 0.7168 respectively. A gene and brain region of interest (ROI) correlation analysis was further performed on the two pairs of canonical variates to confirm the correlation between genes and the region of interests in the brain.

Original languageEnglish (US)
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages278-281
Number of pages4
DOIs
StatePublished - Aug 22 2013
Externally publishedYes
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: Apr 7 2013Apr 11 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
CountryUnited States
CitySan Francisco, CA
Period4/7/134/11/13

Keywords

  • Group sparse CCA
  • SNP
  • fMRI

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis'. Together they form a unique fingerprint.

Cite this