Journal article
Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis
Human brain mapping, Vol.35(3), pp.792-809
03/2014
DOI: 10.1002/hbm.22214
PMCID: PMC3715588
PMID: 23281100
Abstract
Huntington disease is a neurodegenerative disorder that involves preferential atrophy in the striatal complex and related subcortical nuclei. In this paper, 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. Based on 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.
Details
- Title: Subtitle
- Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis
- Creators
- Laurent Younes - Center for Imaging Science, Institute for Computational Medicine and Department of Applied Mathematics and Statistics, Johns Hopkins University, WSE, Baltimore, MD, USAJ. Tilak Ratnanather - Center for Imaging Science, Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, WSE, Baltimore, MD, USATimothy Brown - Center for Imaging Science, Johns Hopkins University, WSE, Baltimore, MD, USAElizabeth Aylward - University of Washington, Department of Radiology, Seattle Children's Research Institute, Seattle, Washington, USAPeg Nopoulos - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, Iowa, USAHans Johnson - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, Iowa, USAVincent A Magnotta - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, Iowa, USAJane S Paulsen - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, Iowa, USARussell L Margolis - Departments of Psychiatry and Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USARoger L Albin - Department of Neurology, University of Michigan, and VAAAHS Geriatrics Research, Education, and Clinical Center, Ann Arbor, MI, USAMichael I Miller - Center for Imaging Science, Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, WSE, Baltimore, MD, USAChristopher A Ross - Division of Neurobiology, Departments of Psychiatry, Neurology, Neuroscience and Pharmacology, and Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USAPREDICT-HD Investigators - Center for Imaging Science, Institute for Computational Medicine and Department of Applied Mathematics and Statistics, Johns Hopkins University, WSE, Baltimore, MD, USA
- Resource Type
- Journal article
- Publication Details
- Human brain mapping, Vol.35(3), pp.792-809
- DOI
- 10.1002/hbm.22214
- PMID
- 23281100
- PMCID
- PMC3715588
- ISSN
- 1065-9471
- eISSN
- 1097-0193
- Grant note
- R01 NS054893 || NS / National Institute of Neurological Disorders and Stroke : NINDS\r\nR01 EB008171 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB\r\nP41 RR015241 || RR / National Center for Research Resources : NCRR\r\nR01 EB000975 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB
- Language
- English
- Date published
- 03/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Neurology; Radiology; Electrical and Computer Engineering; Psychiatry; Stead Family Department of Pediatrics; Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984066131402771
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