Journal article
Neuropsychiatry and White Matter Microstructure in Huntington's Disease
Journal of Huntington's disease, Vol.4(3), pp.239-249
2015
DOI: 10.3233/JHD-150160
PMCID: PMC4684097
PMID: 26443926
Abstract
Neuropsychiatric symptoms in Huntington's disease (HD) are often evident prior to clinical diagnosis. Apathy is highly correlated with disease progression, while depression and irritability occur at different stages of the disease, both before and after clinical onset. Little is understood about the neural bases of these neuropsychiatric symptoms and to what extent those neural bases are analogous to neuropsychiatric disorders in the general population.\nWe used Diffusion Tensor Imaging (DTI) to investigate structural connectivity between brain regions and any putative microstructural changes associated with depression, apathy and irritability in HD.\nDTI data were collected from 39 premanifest and 45 early-HD participants in the Track-HD study and analysed using whole-brain Tract-Based Spatial Statistics. We used regression analyses to identify white matter tracts whose structural integrity (as measured by fractional anisotropy, FA) was correlated with HADS-depression, PBA-apathy or PBA-irritability scores in gene-carriers and related to cumulative probability to onset (CPO).\nFor those with the highest CPO, we found significant correlations between depression scores and reduced FA in the splenium of the corpus callosum. In contrast, those with lowest CPO demonstrated significant correlations between irritability scores and widespread FA reductions. There was no significant relationship between apathy and FA throughout the whole brain.\nWe demonstrate that white matter changes associated with both depression and irritability in HD occur at different stages of disease progression concomitant with their clinical presentation.
Details
- Title: Subtitle
- Neuropsychiatry and White Matter Microstructure in Huntington's Disease
- Creators
- Sarah Gregory - Institute of Cognitive Neuroscience, University College London, UKRachael I Scahill - Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UKKiran K Seunarine - Developmental Imaging and Biophysics Section, UCL Institute of Child Health, London, UKCheryl Stopford - Manchester Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UKHui Zhang - University College LondonJiaying Zhang - Department of Computer Science and Centre for Medical Image Computing, UCL, London, UKMichael Orth - Department of Neurology, University of Ulm, Ulm, GermanyAlexandra Durr - APHP Department of Genetics, Groupe Hospitalier Pitié-Salpêtrière, and Institut du Cerveau et de la Moelle, INSERM U1127, CNRS UMR7225, Sorbonne Universités - UPMC Université Paris VI UMR_S1127, Paris, FranceRaymund A C Roos - Department of Neurology, Leiden University Medical Centre, Leiden, The NetherlandsDouglas R Langbehn - Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USAJeffrey D Long - Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USAHans Johnson - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USAGeraint Rees - Institute of Cognitive Neuroscience, University College London, UKSarah J Tabrizi - National Hospital for Neurology and Neurosurgery, Queen Square, London, UKDavid Craufurd - Manchester Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
- Resource Type
- Journal article
- Publication Details
- Journal of Huntington's disease, Vol.4(3), pp.239-249
- DOI
- 10.3233/JHD-150160
- PMID
- 26443926
- PMCID
- PMC4684097
- NLM abbreviation
- J Huntingtons Dis
- ISSN
- 1879-6397
- eISSN
- 1879-6400
- Publisher
- Netherlands
- Grant note
- MR/M008592/1 / Medical Research Council\n091593 / Wellcome Trust\nMR/L012936/1 / Medical Research Council\n100227 / Wellcome Trust
- Language
- English
- Date published
- 2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; Iowa Neuroscience Institute; Biostatistics
- Record Identifier
- 9984066390202771
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