Literature DB >> 22976075

MRI signatures of brain macrostructural atrophy and microstructural degradation in frontotemporal lobar degeneration subtypes.

Yu Zhang1, Maria Carmela Tartaglia, Norbert Schuff, Gloria C Chiang, Christopher Ching, Howard J Rosen, Maria Luisa Gorno-Tempini, Bruce L Miller, Michael W Weiner.   

Abstract

Brain magnetic resonance imaging (MRI) studies have demonstrated regional patterns of brain macrostructural atrophy and white matter microstructural alterations separately in the three major subtypes of frontotemporal lobar degeneration (FTLD), which includes behavioral variant frontotemporal dementia (bvFTD), semantic dementia (SD), and progressive nonfluent aphasia (PNFA). This study was to investigate to what extent the pattern of white matter microstructural alterations in FTLD subtypes mirrors the pattern of brain atrophy, and to compare the ability of various diffusion tensor imaging (DTI) indices in characterizing FTLD patients, as well as to determine whether DTI measures provide greater classification power for FTLD than measuring brain atrophy. Twenty-five patients with FTLD (13 with bvFTD, 6 with SD, and 6 with PNFA) and 19 healthy age-matched control subjects underwent both structural MRI and DTI scans. Measurements of regional brain atrophy were based on T1-weighted MRI data and voxel-based morphometry. Measurements of regional white matter degradation were based on voxelwise as well as regions-of-interest tests of DTI variations, expressed as fractional anisotropy, axial diffusivity, and radial diffusivity. Compared to controls, bvFTD, SD, and PNFA patients each exhibited characteristic regional patterns of brain atrophy and white matter damage. DTI overall provided significantly greater accuracy for FTLD classification than brain atrophy. Moreover, radial diffusivity was more sensitive in assessing white matter damage in FTLD than other DTI indices. The findings suggest that DTI in general and radial diffusivity in particular are more powerful measures for the classification of FTLD patients from controls than brain atrophy.

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Year:  2013        PMID: 22976075      PMCID: PMC3738303          DOI: 10.3233/JAD-2012-121156

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  81 in total

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3.  Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease.

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Review 4.  Eating disturbance in behavioural-variant frontotemporal dementia.

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  33 in total

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Authors:  Corey T McMillan; Brian B Avants; Philip Cook; Lyle Ungar; John Q Trojanowski; Murray Grossman
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2.  MRI signatures of brain macrostructural atrophy and microstructural degradation in frontotemporal lobar degeneration subtypes.

Authors:  Yu Zhang; Maria Carmela Tartaglia; Norbert Schuff; Gloria C Chiang; Christopher Ching; Howard J Rosen; Maria Luisa Gorno-Tempini; Bruce L Miller; Michael W Weiner
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

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7.  Pathophysiology of the behavioral variant of frontotemporal lobar degeneration: A study combining MRI and FDG-PET.

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9.  Longitudinal white matter changes in frontotemporal dementia subtypes.

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Review 10.  Brain connectivity in neurodegenerative diseases--from phenotype to proteinopathy.

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