Cognitive domains that predict time to diagnosis in prodromal Huntington disease

DL Harrington; MM Smith; Y Zhang; NE Carlozzi; JS Paulsen; T Wassink; S Cross; M Kimble; P Ryan; J Wood; EA Epping; LJ Beglinger; E Chiu; O Yastrubetskaya; J Preston; A Goh; C Fonseka; S Antonopoulos; S Loi; P Chua; A Komiti; L Raymond; R Dar Santos; K Carter; J Decolongon; A Rosenblatt; CA Ross; B Shpritz; N Yoritomo; C Welsh; WM Mallonee; G Suter; J Addison; A Samii; A Macaraeg; R Jones; C Wood-Siverio; SA Factor; C Testa; RA Barker; S Mason; A Goodman; A Dipietro; E McCusker; J Griffith; C Loy; D Gunn; BG Landwehrmeyer; M Orth; S Süβmuth; K Barth; S Trautmann; K Quaid; M Wesson; J Wojcieszek; M Guttman; A Sheinberg; I Karmalkar; S Perlman; B Clemente; A Johnson; MD Geschwind; J Gooblar; G Kang; T Warner; M Burrows; M Novak; T Andrews; E Rosser; S Tabrizi; A Rosser; K Price; S Hunt; F Marshall; A Chesire; M Wodarski; C Hickey; O Suchowersky; S Furtado; ML Klimek; P Panegyres; J Lee; S Andrew; J Perlmutter; S Barton; A Schmidt; Z Miedzybrodzka; D Rae; M D’alessandro; D Craufurd; R Fullam; J Bek; E Howard; P Mazzoni; K Marder; P Wasserman; R Kumar; D Erickson; V Wheelock; T Tempkin

Journal article

Cognitive domains that predict time to diagnosis in prodromal Huntington disease

DL Harrington, MM Smith, Y Zhang, NE Carlozzi, JS Paulsen, T Wassink, S Cross, M Kimble, P Ryan, J Wood, EA Epping, LJ Beglinger, E Chiu, O Yastrubetskaya, J Preston, A Goh, C Fonseka, S Antonopoulos, S Loi, P Chua Show all

Journal of Neurology Neurosurgery and Psychiatry | Published : 2012

DOI: 10.1136/jnnp-2011-301732

Abstract

Background: Prodromal Huntington's disease (prHD) is associated with a myriad of cognitive changes but the domains that best predict time to clinical diagnosis have not been studied. This is a notable gap because some domains may be more sensitive to cognitive decline, which would inform clinical trials. Objectives: The present study sought to characterise cognitive domains underlying a large test battery and for the first time, evaluate their ability to predict time to diagnosis. Methods: Participants included gene negative and gene positive prHD participants who were enrolled in the PREDICT-HD study. The CAG - age product (CAP) score was the measure of an individual's genetic signature. A ..

View full abstract

University of Melbourne Researchers

Grants

Awarded by National Center for Advancing Translational Sciences

Funding Acknowledgements

This research is supported by the National Institutes for Health, National Institute of Neurological Disorders and Stroke (NS40068) and CHDI Foundation Inc.