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Abstract #1992

Clustering of contrast estimate patterns of fMRI to untangle genotypic effects on whole brain networks

Kayako Matsuo 1 , Chih-Min Liu 2,3 , Shen-Hsing Annabel Chen 4 , Aleksandr Aleksandrovich Simak 5,6 , Chen-Chung Liu 2 , Tzung-Jeng Hwang 2,3 , Ming-Hsien Hsieh 2 , Yi Ling Chien 2 , Hai-Gwo Hwu 2,7 , and Wen-Yih Isaac Tseng 1,3

1 Advanced Biomedical MRI Lab, National Taiwan University College of Medicine, Taipei, Taipei, Taiwan, 2 Department of Psychiatry, National Taiwan University Hospital & College of Medicine, Taipei, Taiwan, 3 Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan, 4 Division of Psychology, School of Humanities and Social Sciences, Nanyang Technological University, Singapore, Singapore, 5 Functional Neuroimaging Group, Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, 6 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, 7 Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan

We investigated a new method to observe genotypic effects on brain activation using 104 people including patients with schizophrenia and controls with genotypes of NRG1-P3. After conventional SPM of fMRI with verbal working memory, group average contrast estimate volumes of 4 subject groups (schizophrenia/control by C-allele/TT-genotype) provided 4-value sets for the whole brain coordinates, and the 4-value sets underwent k-means clustering that yielded cluster means (10 divisions). These cluster means were then used as true contrast definition values in SPM. We successfully obtained cluster-specific SPMs that helped observations of influences by age and task accuracy in a data-driven manner.

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