Journal article
Cognitive Control, Learning, and Clinical Motor Ratings Are Most Highly Associated with Basal Ganglia Brain Volumes in the Premanifest Huntington’s Disease Phenotype
Journal of the International Neuropsychological Society, Vol.23(2), pp.159-170
02/2017
DOI: 10.1017/S1355617716001132
PMCID: PMC5803794
PMID: 28205498
Abstract
Objectives: Huntington’s disease (HD) is a debilitating genetic disorder characterized by motor, cognitive and psychiatric abnormalities associated with neuropathological decline. HD pathology is the result of an extended chain of CAG (cytosine, adenine, guanine) trinucleotide repetitions in the HTT gene. Clinical diagnosis of HD requires the presence of an otherwise unexplained extrapyramidal movement disorder in a participant at risk for HD. Over the past 15 years, evidence has shown that cognitive, psychiatric, and subtle motor dysfunction is evident decades before traditional motor diagnosis. This study examines the relationships among subcortical brain volumes and measures of emerging disease phenotype in prodromal HD, before clinical diagnosis. Methods: The dataset includes 34 cognitive, motor, psychiatric, and functional variables and five subcortical brain volumes from 984 prodromal HD individuals enrolled in the PREDICT HD study. Using cluster analyses, seven distinct clusters encompassing cognitive, motor, psychiatric, and functional domains were identified. Individual cluster scores were then regressed against the subcortical brain volumetric measurements. Results: Accounting for site and genetic burden (the interaction of age and CAG repeat length) smaller caudate and putamen volumes were related to clusters reflecting motor symptom severity, cognitive control, and verbal learning. Conclusions: Variable reduction of the HD phenotype using cluster analysis revealed biologically related domains of HD and are suitable for future research with this population. Our cognitive control cluster scores show sensitivity to changes in basal ganglia both within and outside the striatum that may not be captured by examining only motor scores. (JINS, 2017, 23, 159–170)
Details
- Title: Subtitle
- Cognitive Control, Learning, and Clinical Motor Ratings Are Most Highly Associated with Basal Ganglia Brain Volumes in the Premanifest Huntington’s Disease Phenotype
- Creators
- Maria B Misiura - Department of Psychology, Georgia State University, Atlanta, GeorgiaSpencer Lourens - University of Iowa Carver College of Medicine, Iowa City, IowaVince D Calhoun - The Mind Research Network, Albuquerque, New MexicoJeffrey Long - University of Iowa Carver College of Medicine, Iowa City, IowaJeremy Bockholt - University of Iowa Carver College of Medicine, Iowa City, IowaHans Johnson - University of Iowa Carver College of Medicine, Iowa City, IowaYing Zhang - University of Iowa Carver College of Medicine, Iowa City, IowaJane S Paulsen - University of Iowa Carver College of Medicine, Iowa City, IowaJessica A Turner - Department of Psychology, Georgia State University, Atlanta, GeorgiaJingyu Liu - The Mind Research Network, Albuquerque, New MexicoBetul Kara - Department of Biology, Georgia State University, Atlanta, GeorgiaElizabeth Fall - Department of Psychology, Georgia State University, Atlanta, GeorgiaPREDICT-HD Investigators & Working Group
- Contributors
- Guy Vingerhoets (Editor)Deborah Harrington (Editor)
- Resource Type
- Journal article
- Publication Details
- Journal of the International Neuropsychological Society, Vol.23(2), pp.159-170
- DOI
- 10.1017/S1355617716001132
- PMID
- 28205498
- PMCID
- PMC5803794
- NLM abbreviation
- J Int Neuropsychol Soc
- ISSN
- 1355-6177
- eISSN
- 1469-7661
- Publisher
- Cambridge University Press
- Number of pages
- 12
- Alternative title
- M.B. Misiura et al.
- Language
- English
- Date published
- 02/2017
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; Psychological and Brain Sciences; Biostatistics; The Iowa Institute for Biomedical Imaging; The Iowa Initiative for Artificial Intelligence; Iowa Informatics Initiative
- Record Identifier
- 9984221729902771
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