Volume 25, Issue 5 pp. 748-753
Clinical Investigative Study

The Uncinate Fasciculus as a Predictor of Conversion from Amnestic Mild Cognitive Impairment to Alzheimer Disease

Kazuko Hiyoshi-Taniguchi MS

Kazuko Hiyoshi-Taniguchi MS

Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan

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Naoya Oishi MD, PhD

Corresponding Author

Naoya Oishi MD, PhD

Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan

Correspondence: Address correspondence to Naoya Oishi, MD, PhD, Human Brain Research Center, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. E-mail: [email protected].Search for more papers by this author
Chihiro Namiki MD, PhD

Chihiro Namiki MD, PhD

Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan

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Jun Miyata MD, PhD

Jun Miyata MD, PhD

Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan

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Toshiya Murai MD, PhD

Toshiya Murai MD, PhD

Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan

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Andrzej Cichocki PhD

Andrzej Cichocki PhD

Advanced Brain Signal Processing, RIKEN Brain Science Institute, Saitama, Japan

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Hidenao Fukuyama MD, PhD

Hidenao Fukuyama MD, PhD

Systems Research Institute, Polish Academy of Science, Poland

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First published: 10 December 2014
Citations: 22

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.

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