Previous studies that used diffusion kurtosis imaging to study Alzheimer's disease (AD) mostly analyzed data based on regions of interest method, which may be biased by subjectivity. This study used Tract-based Spatial Statistics (TBSS) method to analyze the DKI data and found that kurtosis fractional anisotropy (KFA) values outperformed other DKI-derived parameters in sensitive detection of microstructural white matter damage for early diagnosis of amnestic mild cognitive impairment (aMCI) and AD.
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