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Douglas R. Langbehn
Researcher at Roy J. and Lucille A. Carver College of Medicine
Publications - 158
Citations - 13499
Douglas R. Langbehn is an academic researcher from Roy J. and Lucille A. Carver College of Medicine. The author has contributed to research in topics: Huntington's disease & Population. The author has an hindex of 51, co-authored 144 publications receiving 11827 citations. Previous affiliations of Douglas R. Langbehn include University of British Columbia & University of Iowa.
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Journal ArticleDOI
Biological and clinical manifestations of Huntington's disease in the longitudinal TRACK-HD study: cross-sectional analysis of baseline data.
Sarah J. Tabrizi,Douglas R. Langbehn,Blair R. Leavitt,Raymund A.C. Roos,Alexandra Durr,David Craufurd,Christopher Kennard,Stephen Hicks,Nick C. Fox,Rachael I. Scahill,Beth Borowsky,Allan J. Tobin,H. Diana Rosas,Hans J. Johnson,Ralf Reilmann,Bernhard Landwehrmeyer,Julie C. Stout,Julie C. Stout +17 more
TL;DR: The feasibility of rapid data acquisition and the use of multi-site 3T MRI and neurophysiological motor measures in a large multicentre study is shown, providing evidence for quantifiable biological and clinical alterations in HTT expansion carriers compared with age-matched controls.
Journal ArticleDOI
Huntington disease: natural history, biomarkers and prospects for therapeutics
Christopher A. Ross,Elizabeth Aylward,Edward J. Wild,Douglas R. Langbehn,Jeffrey D. Long,John H. Warner,Rachael I. Scahill,Blair R. Leavitt,Julie C. Stout,Jane S. Paulsen,R Reilmann,Paul G. Unschuld,Alice Wexler,Russell L. Margolis,Sarah J. Tabrizi +14 more
TL;DR: The natural history of HD is described, including the timing of emergence of motor, cognitive and emotional impairments, and the techniques that are used to assess these features, and potential future roles of these biomarkers in clinical trials are reviewed.
Journal ArticleDOI
A new model for prediction of the age of onset and penetrance for Huntington's disease based on CAG length.
TL;DR: A parametric survival model based on CAG repeat length is developed to predict the probability of neurological disease onset (based on motor neurological symptoms rather than psychiatric onset) at different ages for individual patients using the largest cohort of HD patients analyzed to date.
Journal ArticleDOI
Detection of Huntington’s disease decades before diagnosis: The Predict HD study
Jane S. Paulsen,Douglas R. Langbehn,Julie C. Stout,Elizabeth Aylward,Christopher A. Ross,Martha Nance,Mark Guttman,Shannon A. Johnson,Marcy E. MacDonald,Leigh J. Beglinger,Kevin Duff,Elise Kayson,Kevin M. Biglan,Ira Shoulson,David Oakes,Michael R. Hayden +15 more
TL;DR: The findings from the Predict-HD study suggest the approximate time scale of measurable disease development, and suggest candidate disease markers for use in preventive HD trials.
Journal ArticleDOI
Predictors of phenotypic progression and disease onset in premanifest and early-stage Huntington's disease in the TRACK-HD study: analysis of 36-month observational data
Sarah J. Tabrizi,Rachael I. Scahill,Gail Owen,Alexandra Durr,Blair R. Leavitt,Raymund A.C. Roos,Beth Borowsky,Bernhard Landwehrmeyer,Chris Frost,Hans J. Johnson,David Craufurd,David Craufurd,R Reilmann,Julie C. Stout,Douglas R. Langbehn +14 more
TL;DR: In early HD, imaging, quantitative motor, and cognitive measures were predictive of decline in total functional capacity and tracked longitudinal change, and neuropsychiatric changes consistent with frontostriatal pathological abnormalities were associated with this loss of functional capacity.