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Neuropsychiatry and White Matter Microstructure in Huntington’s Disease

Overview of attention for article published in Journal of Huntington's Disease, September 2015
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Article details
Title
Neuropsychiatry and White Matter Microstructure in Huntington’s Disease
Published in
Journal of Huntington's Disease, September 2015
DOI 10.3233/jhd-150160
Pubmed ID
Authors
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. We 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. DTI data were collected from 39 premanifest and 45 early-HD participants in the TrackHD 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). For 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. We 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.

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Mendeley demographics

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Researcher 13 16%
Other 9 11%
Student > Bachelor 8 10%
Student > Doctoral Student 5 6%
Other 10 12%
Unknown 19 23%
Readers by discipline
Readers by discipline Count As %
Neuroscience 17 21%
Medicine and Dentistry 16 20%
Psychology 12 15%
Agricultural and Biological Sciences 3 4%
Engineering 2 2%
Other 7 9%
Unknown 25 30%