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MRI signatures of brain macrostructural atrophy and microstructural degradation in frontotemporal lobar degeneration
Yu Zhang1, Maria Carmela Tartaglia, Norbert Schuff
1Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA 94121, USA. Yu.Zhang@ucsf.edu
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.
Insights
Diffusion tensor imaging (DTI) shows distinct white matter damage patterns in frontotemporal lobar degeneration (FTLD) subtypes. DTI, especially radial diffusivity, offers superior classification accuracy for FTLD compared to brain atrophy measurements.
Area of Science:
- Neuroimaging
- Neurology
- Biomedical Engineering
Background:
- Frontotemporal lobar degeneration (FTLD) encompasses subtypes like bvFTD, SD, and PNFA, each with distinct brain atrophy and white matter alterations.
- Previous MRI studies have identified regional patterns of macrostructural atrophy and white matter microstructural changes in FTLD subtypes.
Purpose of the Study:
- To investigate the correlation between white matter microstructural alterations and brain atrophy patterns in FTLD subtypes.
- To compare the efficacy of various diffusion tensor imaging (DTI) indices in characterizing FTLD patients.
- To determine if DTI measures offer superior classification power for FTLD compared to brain atrophy.
Main Methods:
- Structural MRI and DTI scans were performed on 25 FTLD patients (13 bvFTD, 6 SD, 6 PNFA) and 19 healthy controls.
- Voxel-based morphometry analyzed regional brain atrophy from T1-weighted MRI data.
- Voxelwise and region-of-interest analyses of DTI indices (fractional anisotropy, axial diffusivity, radial diffusivity) assessed white matter degradation.
Main Results:
- All FTLD subtypes exhibited characteristic regional patterns of brain atrophy and white matter damage compared to controls.
- DTI measures provided significantly higher accuracy in classifying FTLD patients than brain atrophy measurements.
- Radial diffusivity demonstrated greater sensitivity in detecting white matter damage in FTLD than other DTI indices.
Conclusions:
- DTI is a more powerful tool for classifying FTLD patients from healthy controls than traditional brain atrophy measurements.
- Radial diffusivity is particularly effective in assessing white matter microstructural damage in FTLD.
- These findings support the use of DTI in the diagnostic evaluation of FTLD subtypes.
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