TY - GEN
T1 - A novel approach to analyzing fMRI and SNP data via parallel independent component analysis
AU - Jingyu, Liu
AU - Pearlson, Godfrey
AU - Calhoun, Vince
AU - Windemuth, Andreas
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Brain functionality
KW - Correlation
KW - Functional magnetic resonance imaging
KW - Independent component analysis
KW - SNP association
KW - Single nucleotide polymorphism
UR - http://www.scopus.com/inward/record.url?scp=35148813173&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35148813173&partnerID=8YFLogxK
U2 - 10.1117/12.709344
DO - 10.1117/12.709344
M3 - Conference contribution
AN - SCOPUS:35148813173
SN - 0819466298
SN - 9780819466297
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2007
T2 - Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Y2 - 18 February 2007 through 20 February 2007
ER -