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Clinical impairment in premanifest and early Huntington's disease is associated with regionally specific atrophy
Authors:Rachael I. Scahill  Nicola Z. Hobbs  Miranda J. Say  Natalie Bechtel  Susie M.D. Henley  Harpreet Hyare  Douglas R. Langbehn  Rebecca Jones  Blair R. Leavitt  Raymund A.C. Roos  Alexandra Durr  Hans Johnson  Stéphane Lehéricy  David Craufurd  Christopher Kennard  Stephen L. Hicks  Julie C. Stout  Ralf Reilmann  Sarah J. Tabrizi  the TRACK‐HD investigators
Affiliation:1. Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom;2. Department of Neurology, University of Münster, Germany;3. MRC Prion Unit, UCL Institute of Neurology, London, United Kingdom;4. Department of Psychiatry and Biostatistics, University of Iowa, Iowa;5. London School of Hygiene and Tropical Medicine, London, United Kingdom;6. Department of Medical Genetics, University of British Columbia, Vancouver, Canada;7. Department of Neurology, Leiden University Medical Centre, The Netherlands;8. Department of Genetics and Cytogenetics and INSERM UMR S679, APHP Hopital de la Salpetriere, 75013 Paris, France;9. Genetic Medicine, University of Manchester, Manchester Academic Health Sciences Centre and Central Manchester University Hospitals NHS Foundation Trust, St. Mary's Hospital, Manchester, United Kingdom;10. Department of Clinical Neurology, University of Oxford, United Kingdom;11. School of Psychology and Psychiatry, Monash University, Australia
Abstract:TRACK‐HD is a multicentre longitudinal observational study investigating the use of clinical assessments and 3‐Tesla magnetic resonance imaging as potential biomarkers for future therapeutic trials in Huntington's disease (HD). The cross‐sectional data from this large well‐characterized dataset provide the opportunity to improve our knowledge of how the underlying neuropathology of HD may contribute to the clinical manifestations of the disease across the spectrum of premanifest (PreHD) and early HD. Two hundred and thirty nine gene‐positive subjects (120 PreHD and 119 early HD) from the TRACK‐HD study were included. Using voxel‐based morphometry (VBM), grey and white matter volumes were correlated with performance in four domains: quantitative motor (tongue force, metronome tapping, and gait); oculomotor [anti‐saccade error rate (ASE)]; cognition (negative emotion recognition, spot the change and the University of Pennsylvania smell identification test) and neuropsychiatric measures (apathy, affect and irritability). After adjusting for estimated disease severity, regionally specific associations between structural loss and task performance were found (familywise error corrected, P < 0.05); impairment in tongue force, metronome tapping and ASE were all associated with striatal loss. Additionally, tongue force deficits and ASE were associated with volume reduction in the occipital lobe. Impaired recognition of negative emotions was associated with volumetric reductions in the precuneus and cuneus. Our study reveals specific associations between atrophy and decline in a range of clinical modalities, demonstrating the utility of VBM correlation analysis for investigating these relationships in HD. Hum Brain Mapp, 2013. © 2011 Wiley Periodicals, Inc.
Keywords:TRACK‐HD  magnetic resonance imaging  voxel‐based morphometry
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