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

Jingyu Liu; Godfrey Pearlson; Vince Calhoun; Andreas Windemuth

doi:10.1117/12.709344

29 March 2007 A novel approach to analyzing fMRI and SNP data via parallel independent component analysis

Jingyu Liu, Godfrey Pearlson, Vince Calhoun, Andreas Windemuth

Proceedings Volume 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images; 651113 (2007) https://doi.org/10.1117/12.709344
Event: Medical Imaging, 2007, San Diego, CA, United States

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 in a common mental disorder.

Citation Download Citation

Jingyu Liu, Godfrey Pearlson, Vince Calhoun, and Andreas Windemuth "A novel approach to analyzing fMRI and SNP data via parallel independent component analysis", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 651113 (29 March 2007); https://doi.org/10.1117/12.709344

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