relationship between neuropsychological impairment and grey and white matter changes in adult-onset myotonic dystrophy type 1

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ID: 171130
2016
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Abstract
Myotonic dystrophy type 1 (DM1) has a wide phenotypic spectrum and potentially may affect central nervous system with mild to severe involvement. Our aim was to investigate grey matter (GM) and white matter (WM) structural alterations in a sample of adult-onset DM1 patients and to evaluate relationship with clinical and cognitive variables. Thirty DM1 patients underwent neuropsychological investigation and 3T-MRI protocol. GM and WM changes were evaluated calculating brain parenchymal fraction (BPF), voxel-based morphometry (VBM), white matter lesion load (LL% and Fazekas scale) and tract based spatial statistical (TBSS). Patients showed main impairment in tests exploring executive and mnesic domains with visuo-spatial involvement, significantly related to BPF. VBM revealed clusters of widespread GM reduction and TBSS revealed areas of decreased fractional anisotropy (FA) and increased radial diffusivity (RD), mean diffusivity (MD) and axial diffusivity (AD) in patients compared to a group of matched healthy controls. Multiple regression analyses showed areas of significant negative relationship between left temporal atrophy and verbal memory, between RD and mnesic and visuo-spatial cognitive domains, and between AD and verbal memory. TBSS results indicate that the involvement of normal appearance WM, beyond the signal changes detected with conventional MR imaging (Fazekas scale and LL%), was associated with neuropsychological deficit. These data suggest that disrupted complex neuronal networks can underlie cognitive-behavioural dysfunctions in DM1.
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baldanzi2016neuroimage:relationship Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Sigrid Baldanzi;Paolo Cecchi;Serena Fabbri;Ilaria Pesaresi;Costanza Simoncini;Corrado Angelini;Ubaldo Bonuccelli;Mirco Cosottini;Gabriele Siciliano
Journal chemical engineering journal
Year 2016
DOI
10.1016/j.nicl.2016.06.011
URL
http://www.sciencedirect.com/science/article/pii/S2213158216301097
Keywords
mr imaging tbss vbm diseases of the nervous system medical informaticsneurology

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