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Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease.
Author(s) -
JiIn Kim,
Jeffrey D. Long,
James A. Mills,
Elizabeth McCusker,
Jane S. Paulsen,
Anne Elizabeth Rosser,
Kathy Price,
Sarah Hunt
Publication year - 2015
Publication title -
neuropsychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.13
H-Index - 130
eISSN - 1931-1559
pISSN - 0894-4105
DOI - 10.1037/neu0000199
Subject(s) - depression (economics) , psychology , cognition , disease , multivariate analysis , multivariate statistics , prodromal stage , longitudinal study , huntington's disease , clinical psychology , medicine , psychiatry , cognitive impairment , pathology , statistics , mathematics , economics , macroeconomics
Although Huntington disease (HD) is caused by an autosomal dominant mutation, its phenotypic presentation differs widely. Variability in clinical phenotypes of HD may reflect the existence of disease subtypes. This hypothesis was tested in prodromal participants from the longitudinal Neurobiological Predictors of Huntington Disease (PREDICT-HD) study.

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