Kazuko Hiyoshi-Taniguchi1, Naoya Oishi1, Chihiro Namiki2, Jun Miyata2, Toshiya Murai2, Andrzej Cichocki3, Hidenao Fukuyama4. 1. Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan. 2. Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan. 3. Advanced Brain Signal Processing, RIKEN Brain Science Institute, Saitama, Japan. 4. Systems Research Institute, Polish Academy of Science, Poland.
Abstract
BACKGROUND AND PURPOSE: Amnestic mild cognitive impairment (aMCI) is associated with the risk of Alzheimer's disease (AD). Although diffusion tensor imaging (DTI)-based fractional anisotropy (FA) analyses have been used to evaluate white matter changes in patients with AD, it remains unknown how FA values change during the conversion of aMCI to AD. This study aimed to elucidate the prediction of conversion to AD and cognitive decline by FA values in uncinate fasciculus (UF) in aMCI patients. METHODS: Twenty-two aMCI patients were evaluated for their UF FA values by a tractography-based method with DTI and cognitive performance by neuropsychological testing at baseline and after a 3-year follow-up. Patients were divided into 2 groups after 3 years: 14 aMCI-stable (aMCI-aMCI) and 8 AD-conversion (aMCI-AD). RESULTS: At baseline, FA values in the right UF were significantly lower in the aMCI-AD group than in the aMCI-aMCI group. These values also showed significant correlations with the neuropsychological scores after a 3-year follow-up. The area under the curve of the receiver operation characteristic curves for predicting conversion to AD was .813. CONCLUSION: These results suggested that FA values in the right UF might be an effective predictor of conversion of aMCI to AD.
BACKGROUND AND PURPOSE:Amnestic mild cognitive impairment (aMCI) is associated with the risk of Alzheimer's disease (AD). Although diffusion tensor imaging (DTI)-based fractional anisotropy (FA) analyses have been used to evaluate white matter changes in patients with AD, it remains unknown how FA values change during the conversion of aMCI to AD. This study aimed to elucidate the prediction of conversion to AD and cognitive decline by FA values in uncinate fasciculus (UF) in aMCIpatients. METHODS: Twenty-two aMCIpatients were evaluated for their UF FA values by a tractography-based method with DTI and cognitive performance by neuropsychological testing at baseline and after a 3-year follow-up. Patients were divided into 2 groups after 3 years: 14 aMCI-stable (aMCI-aMCI) and 8 AD-conversion (aMCI-AD). RESULTS: At baseline, FA values in the right UF were significantly lower in the aMCI-AD group than in the aMCI-aMCI group. These values also showed significant correlations with the neuropsychological scores after a 3-year follow-up. The area under the curve of the receiver operation characteristic curves for predicting conversion to AD was .813. CONCLUSION: These results suggested that FA values in the right UF might be an effective predictor of conversion of aMCI to AD.
Authors: Melissa A Lancaster; Michael Seidenberg; J Carson Smith; Kristy A Nielson; John L Woodard; Sally Durgerian; Stephen M Rao Journal: J Int Neuropsychol Soc Date: 2016-11 Impact factor: 2.892
Authors: Vassilis Pelekanos; Elsie Premereur; Daniel J Mitchell; Subhojit Chakraborty; Stuart Mason; Andy C H Lee; Anna S Mitchell Journal: J Neurosci Date: 2020-09-08 Impact factor: 6.167