Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis |
| |
| Authors: | Laurent Younes J. Tilak Ratnanather Timothy Brown Elizabeth Aylward Peg Nopoulos Hans Johnson Vincent A. Magnotta Jane S. Paulsen Russell L. Margolis Roger L. Albin Michael I. Miller Christopher A. Ross PREDICT‐HD Investigators Coordinators of the Huntington Study Group |
| |
| Affiliation: | 1. Center for Imaging Science, Institute for Computational Medicine and Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland;2. Center for Imaging Science, Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, WSE, Baltimore, Maryland;3. Center for Imaging Science, Johns Hopkins University, WSE, Baltimore, Maryland;4. University of Washington, Department of Radiology, Seattle Children's Research Institute, Seattle, Washington;5. Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, Iowa;6. Departments of Psychiatry and Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland;7. Department of Neurology, University of Michigan, and VAAAHS Geriatrics Research, Education, and Clinical Center, Ann Arbor, Michigan;8. Division of Neurobiology, Departments of Psychiatry, Neurology, Neuroscience and Pharmacology, and Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland |
| |
| Abstract: | Huntington disease (HD) is a neurodegenerative disorder that involves preferential atrophy in the striatal complex and related subcortical nuclei. In this article, which is based on a dataset extracted from the PREDICT‐HD study, we use statistical shape analysis with deformation markers obtained through “Large Deformation Diffeomorphic Metric Mapping” of cortical surfaces to highlight specific atrophy patterns in the caudate, putamen, and globus pallidus, at different prodromal stages of the disease. On the basis of the relation to cortico‐basal ganglia circuitry, we propose that statistical shape analysis, along with other structural and functional imaging studies, may help expand our understanding of the brain circuitry affected and other aspects of the neurobiology of HD, and also guide the most effective strategies for intervention. Hum Brain Mapp 35:792–809, 2014. © 2012 Wiley Periodicals, Inc. |
| |
| Keywords: | striatal atrophy pallidus atrophy diffeomorphic mapping surface registration surface‐based morphometry |
|
|
