Brain abnormalities in bipolar disorder were investigated with diffusion kurtosis imaging and voxel-based morphometry, using a framework for data-driven feature extraction from multivariate data. The result showed two components capturing effect of diagnosis, and these were driven by diffusion kurtosis measures in the white matter including the prefrontal-striatal-thalamic pathways, cerebellum, and medial temporal lobes. Our results indicate diffusion kurtosis imaging can provide unique information that is sensitive to the abnormalities in bipolar disorder, and that interrelationship among different measures is a promising avenue to study neuronal circuits relevant to the disease.
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