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Multi-Modal Neuroimaging in Premanifest and Early Huntington’s Disease: 18 Month Longitudinal Data from the IMAGE-HD Study

Overview of attention for article published in PLOS ONE, September 2013
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Title
Multi-Modal Neuroimaging in Premanifest and Early Huntington’s Disease: 18 Month Longitudinal Data from the IMAGE-HD Study
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0074131
Pubmed ID
Authors

Juan F. Domínguez D, Gary F. Egan, Marcus A. Gray, Govinda R. Poudel, Andrew Churchyard, Phyllis Chua, Julie C. Stout, Nellie Georgiou-Karistianis

Abstract

IMAGE-HD is an Australian based multi-modal longitudinal magnetic resonance imaging (MRI) study in premanifest and early symptomatic Huntington's disease (pre-HD and symp-HD, respectively). In this investigation we sought to determine the sensitivity of imaging methods to detect macrostructural (volume) and microstructural (diffusivity) longitudinal change in HD. We used a 3T MRI scanner to acquire T1 and diffusion weighted images at baseline and 18 months in 31 pre-HD, 31 symp-HD and 29 controls. Volume was measured across the whole brain, and volume and diffusion measures were ascertained for caudate and putamen. We observed a range of significant volumetric and, for the first time, diffusion changes over 18 months in both pre-HD and symp-HD, relative to controls, detectable at the brain-wide level (volume change in grey and white matter) and in caudate and putamen (volume and diffusivity change). Importantly, longitudinal volume change in the caudate was the only measure that discriminated between groups across all stages of disease: far from diagnosis (>15 years), close to diagnosis (<15 years) and after diagnosis. Of the two diffusion metrics (mean diffusivity, MD; fractional anisotropy, FA), only longitudinal FA change was sensitive to group differences, but only after diagnosis. These findings further confirm caudate atrophy as one of the most sensitive and early biomarkers of neurodegeneration in HD. They also highlight that different tissue properties have varying schedules in their ability to discriminate between groups along disease progression and may therefore inform biomarker selection for future therapeutic interventions.

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Geographical breakdown

Country Count As %
United Kingdom 1 1%
Germany 1 1%
Unknown 82 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 16 19%
Student > Master 11 13%
Student > Bachelor 7 8%
Other 5 6%
Other 8 10%
Unknown 18 21%
Readers by discipline Count As %
Medicine and Dentistry 17 20%
Neuroscience 16 19%
Psychology 10 12%
Agricultural and Biological Sciences 6 7%
Engineering 4 5%
Other 7 8%
Unknown 24 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2013.
All research outputs
#20,741,146
of 23,342,664 outputs
Outputs from PLOS ONE
#178,730
of 199,619 outputs
Outputs of similar age
#158,234
of 180,858 outputs
Outputs of similar age from PLOS ONE
#4,227
of 4,905 outputs
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