Title of article
Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer’s disease
Author/Authors
Falangola، نويسنده , , Maria F. and Jensen، نويسنده , , Jens H. and Tabesh، نويسنده , , Ali and Hu، نويسنده , , Caixia and Deardorff، نويسنده , , Rachael L. and Babb، نويسنده , , James S. and Ferris، نويسنده , , Steven and Helpern، نويسنده , , Joseph A.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2013
Pages
7
From page
840
To page
846
Abstract
We report the first application of a novel diffusion-based MRI method, called diffusional kurtosis imaging (DKI), to investigate changes in brain tissue microstructure in patients with mild cognitive impairment (MCI) and AD and in cognitively intact controls. The subject groups were characterized and compared in terms of DKI-derived metrics for selected brain regions using analysis of covariance with a Tukey multiple comparison correction. Receiver operating characteristic (ROC) and binary logistic regression analyses were used to assess the utility of regional diffusion measures, alone and in combination, to discriminate each pair of subject groups. ROC analyses identified mean and radial kurtoses in the anterior corona radiata as the best individual discriminators of MCI from controls, with the measures having an area under the ROC curve (AUC) of 0.80 and 0.82, respectively. The next best discriminators of MCI from controls were diffusivity and kurtosis (both mean and radial) in the prefrontal white matter (WM), with each measure having an AUC between 0.77 and 0.79. Finally, the axial diffusivity in the hippocampus was the best overall discriminator of MCI from AD, having an AUC of 0.90. These preliminary results suggest that non-Gaussian diffusion MRI may be beneficial in the assessment of microstructural tissue damage at the early stage of MCI and may be useful in developing biomarkers for the clinical staging of AD.
Keywords
Alzheimer’s Disease , DKI , kurtosis , MRI , diffusion , Mild cognitive impairment
Journal title
Magnetic Resonance Imaging
Serial Year
2013
Journal title
Magnetic Resonance Imaging
Record number
1833509
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