Journal article
Regional subcortical shape analysis in premanifest Huntington's disease
Human brain mapping, Vol.40(5), pp.1419-1433
04/01/2019
DOI: 10.1002/hbm.24456
PMCID: PMC6420821
PMID: 30376191
Abstract
Huntington's disease (HD) involves preferential and progressive degeneration of striatum and other subcortical regions as well as regional cortical atrophy. It is caused by a CAG repeat expansion in the Huntingtin gene, and the longer the expansion the earlier the age of onset. Atrophy begins prior to manifest clinical signs and symptoms, and brain atrophy in premanifest expansion carriers can be studied. We employed a diffeomorphometric pipeline to contrast subcortical structures' morphological properties in a control group with three disease groups representing different phases of premanifest HD (far, intermediate, and near to onset) as defined by the length of the CAG expansion and the participant's age (CAG-Age-Product). A total of 1,428 magnetic resonance image scans from 694 participants from the PREDICT-HD cohort were used. We found significant region-specific atrophies in all subcortical structures studied, with the estimated abnormality onset time varying from structure to structure. Heterogeneous shape abnormalities of caudate nuclei were present in premanifest HD participants estimated furthest from onset and putaminal shape abnormalities were present in participants intermediate to onset. Thalamic, hippocampal, and amygdalar shape abnormalities were present in participants nearest to onset. We assessed whether the estimated progression of subcortical pathology in premanifest HD tracked specific pathways. This is plausible for changes in basal ganglia circuits but probably not for changes in hippocampus and amygdala. The regional shape analyses conducted in this study provide useful insights into the effects of HD pathology in subcortical structures.
Details
- Title: Subtitle
- Regional subcortical shape analysis in premanifest Huntington's disease
- Creators
- Xiaoying Tang - Department of Electrical and Electronic Engineering; Southern University of Science and Technology; Shenzhen Guangdong ChinaChristopher 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 MarylandHans Johnson - Departments of Neurology and Psychiatry; The University of Iowa Carver College of Medicine; Iowa City IowaJane S Paulsen - Departments of Neurology and Psychiatry; The University of Iowa Carver College of Medicine; Iowa City IowaLaurent Younes - Department of Applied Mathematics and Statistics; Johns Hopkins University; Baltimore Maryland, Center for Imaging Science; Johns Hopkins University; Baltimore Maryland, Institute for Computational Medicine, Johns Hopkins University; Baltimore MarylandRoger L Albin - Neurology Service and GRECC, VAAAHS; Ann Arbor Michigan, Department of Neurology; University of Michigan Medical School; Ann Arbor MichiganJ. Tilak Ratnanather - Center for Imaging Science; Johns Hopkins University; Baltimore Maryland, Institute for Computational Medicine, Johns Hopkins University; Baltimore Maryland, Department of Biomedical Engineering; Johns Hopkins University; Baltimore MarylandMichael I Miller - Center for Imaging Science; Johns Hopkins University; Baltimore Maryland, Institute for Computational Medicine, Johns Hopkins University; Baltimore Maryland, Department of Biomedical Engineering; Johns Hopkins University; Baltimore Maryland
- Resource Type
- Journal article
- Publication Details
- Human brain mapping, Vol.40(5), pp.1419-1433
- DOI
- 10.1002/hbm.24456
- PMID
- 30376191
- PMCID
- PMC6420821
- ISSN
- 1065-9471
- eISSN
- 1097-0193
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: NIH R01 EB008171, NIH R01 EB000975, NIH P41 EB015909, NIH P50 NS091856, NIH R21 NS088302; DOI: 10.13039/100005725, name: CHDI Foundation, award: A3917; DOI: 10.13039/100000065, name: National Institute of Neurological Disorders and Stroke, award: NS40068; DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: NSFC 81501546
- Language
- English
- Date published
- 04/01/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; Psychological and Brain Sciences; The Iowa Institute for Biomedical Imaging; The Iowa Initiative for Artificial Intelligence; Iowa Informatics Initiative
- Record Identifier
- 9984083272702771
Metrics
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