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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