biostudies-literatureAbeyasinghe PMMedical Research CouncilNINDS NIH HHSNational Health and Medical Research CouncilWellcome Trust2282-2292https://www.ebi.ac.uk/biostudies/studies/S-EPMC8590922biostudies-literatureUnknown36(10)<h4>Background</h4>Potential therapeutic targets and clinical trials for Huntington's disease have grown immensely in the last decade. However, to improve clinical trial outcomes, there is a need to better characterize profiles of signs and symptoms across different epochs of the disease to improve selection of participants.<h4>Objective</h4>The objective of the present study was to best distinguish longitudinal trajectories across different Huntington's disease progression groups.<h4>Methods</h4>Clinical and morphometric imaging data from 1082 participants across IMAGE-HD, TRACK-HD, and PREDICT-HD studies were combined, with longitudinal times ranging between 1 and 10 years. Participants were classified into 4 groups using CAG and age product. Using multivariate linear mixed modeling, 63 Movement disorders : official journal of the Movement Disorder SocietyTracking Huntington's Disease Progression Using Motor, Functional, Cognitive, and Imaging Markers.PMC8590922U01 NS105509UKDRI-1008/2200181/Z/15/Z606650U01 NS103475R01 NS040068Razi APoudel GRAbeyasinghe PMTabrizi SJPustina DGeorgiou-Karistianis NLong JDPaulsen JSfalseTracking Huntington's Disease Progression Using Motor, Functional, Cognitive, and Imaging Markers.<h4>Background</h4>Potential therapeutic targets and clinical trials for Huntington's disease have grown immensely in the last decade. However, to improve clinical trial outcomes, there is a need to better characterize profiles of signs and symptoms across different epochs of the disease to improve selection of participants.<h4>Objective</h4>The objective of the present study was to best distinguish longitudinal trajectories across different Huntington's disease progression groups.<h4>Methods</h4>Clinical and morphometric imaging data from 1082 participants across IMAGE-HD, TRACK-HD, and PREDICT-HD studies were combined, with longitudinal times ranging between 1 and 10 years. Participants were classified into 4 groups using CAG and age product. Using multivariate linear mixed modeling, 63 2021-01-01T00:00:00Z2021 Oct2025-04-04T19:52:44.458Z2025-02-19T02:24:11.026ZS-EPMC85909223401400510.1002/mds.28650