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Published November 2016 | Supplemental Material
Journal Article Open

In vivo delineation of subdivisions of the human amygdaloid complex in a high-resolution group template

Abstract

The nuclei of the human amygdala remain difficult to distinguish in individual subject structural magnetic resonance images. However, interpretation of the amygdala's role in whole brain networks requires accurate localization of functional activity to a particular nucleus or subgroup of nuclei. To address this, high spatial resolution, three-dimensional templates, using joint high accuracy diffeomorphic registration of T1- and T2-weighted structural images from 168 typical adults between 22 and 35 years old released by the Human Connectome Project were constructed. Several internuclear boundaries are clearly visible in these templates, which would otherwise be impossible to delineate in individual subject data. A probabilistic atlas of major nuclei and nuclear groups was constructed in this template space and mapped back to individual spaces by inversion of the individual diffeomorphisms. Group level analyses revealed a slight (∼2%) bias toward larger total amygdala and nuclear volumes in the right hemisphere. No substantial sex or age differences were found in amygdala volumes normalized to total intracranial volume, or subdivision volumes normalized to amygdala volume. The current delineation provides a finer parcellation of the amygdala with more accurate external boundary definition than current histology-based atlases when used in conjunction with high accuracy registration methods, such as diffeomorphic warping. These templates and delineation are intended to be an open and evolving resource for future functional and structural imaging studies of the human amygdala.

Additional Information

© 2016 Wiley Periodicals, Inc. Received for publication 19 January 2016; Revised 4 June 2016; Accepted 6 June 2016; Published online 29 June 2016. The authors would like to thank Ralph Adolphs and Katalin Gothard for invaluable advice and discussions during the construction of this atlas. Data were provided in part by the Human Connectome Project, WU- Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Contract grant sponsor: Neuroimaging Core of a Conte Center grant from the National Institutes of Health; Contract grant number: 5P50MH094258-5388 The authors declare no competing financial interests.

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