Most previous human neuroimaging studies measured the volume of amygdala as a whole, however, the amygdala consists of several functionally distinct subnuclei. Recent advances in structural MR image segmentation technique have made it possible to study amygdala subnuclei volumes with a robust, automatic approach using a Bayesian inference-based atlas building algorithm. Using this algorithm, we for the first time provide a distinctive profile of amygdala subnuclei volume abnormality in a relatively large sample of drug-free obsessive-compulsive disorder patients, and provide an insight that these subnuclei contribute to different aspect of neuropathology in the disorder.
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