A novel approach to analyzing fMRI and SNP data via parallel independent component analysis

Liu Jingyu, Godfrey Pearlson, Vince Calhoun, Andreas Windemuth

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

    Abstract

    There is current interest in understanding genetic influences on brain function in both the healthy and the disordered brain Parallel independent component analysis, a new method for analyzing multimodal data, is proposed in this paper and applied to functional magnetic resonance imaging (fMRI) and a single nucleotide polymorphism (SNP) array The method aims to identify the independent components of each modality and the relationship between the two modalities. We analyzed 92 participants, including 29 schizophrenia (SZ) patients, 13 unaffected SZ relatives and 50 healthy controls. We found a correlation of 0.79 between one fMRI component and one SNP component. The fMRI component consists of activations in cingulate gyrus, multiple frontal gyri, and superior temporal gyrus The related SNP component is contributed to significantly by 9 SNPs located in sets of genes, including those coding for apolipoprotein A-I, and C-III, malate dehydrogenase 1 and the gamma-aminobutyric acid alpha-2 receptor. A significant difference in the presences of this SNP component is found between the SZ group (SZ patients and their relatives) and the control group In summary, we constructed a framework to identify the interactions between brain functional and genetic information; our findings provide new insight into understanding genetic influences on brain function m a common mental disorder.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2007
    Subtitle of host publicationPhysiology, Function, and Structure from Medical Images
    EditionPART 1
    DOIs
    StatePublished - Oct 15 2007
    EventMedical Imaging 2007: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
    Duration: Feb 18 2007Feb 20 2007

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    NumberPART 1
    Volume6511
    ISSN (Print)1605-7422

    Other

    OtherMedical Imaging 2007: Physiology, Function, and Structure from Medical Images
    CountryUnited States
    CitySan Diego, CA
    Period2/18/072/20/07

    Keywords

    • Brain functionality
    • Correlation
    • Functional magnetic resonance imaging
    • Independent component analysis
    • SNP association
    • Single nucleotide polymorphism

    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

    Jingyu, L., Pearlson, G., Calhoun, V., & Windemuth, A. (2007). A novel approach to analyzing fMRI and SNP data via parallel independent component analysis. In Medical Imaging 2007: Physiology, Function, and Structure from Medical Images (PART 1 ed.). [651113] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6511, No. PART 1). https://doi.org/10.1117/12.709344