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A voxel selection method for the multivariate analysis of imaging genetics data

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7 Author(s)
Sambu Seo ; Sch. of Electr. Eng. & Comput. Sci., Berlin Inst. of Technol., Berlin, Germany ; Mohr, J. ; Heekeren, H. ; Heinz, A.
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We suggest a multivariate genotype-phenotype association test for functional magnetic resonance imaging (fMRI) data. The method uses a voxel selection and ranking scheme based on iterative adaptive Lasso for defining a functional region of interest. A classifier-based test is used to assess the significance of potential associations between the differential activity pattern within that region and a set of candidate genetic variants. We applied the method to a small sample dataset from an ongoing imaging genetics study and identified a significant genetic association to a stimulus-locked imaging phenotype.

Published in:

Neural Networks (IJCNN), The 2012 International Joint Conference on

Date of Conference:

10-15 June 2012