Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148904
Title: Differentiating Parkinson's disease motor subtypes using automated volume-based morphometry incorporating white matter and deep gray nuclear lesion load
Authors: Fang, Eric
Ann, Chu Ning
Maréchal, Bénédicte
Lim, Jie Xin
Tan, Shawn Yan Zhi
Li, Huihua
Gan, Julian
Tan, Eng King
Chan, Ling Ling
Keywords: Social sciences::Psychology
Issue Date: 2019
Source: Fang, E., Ann, C. N., Maréchal, B., Lim, J. X., Tan, S. Y. Z., Li, H., Gan, J., Tan, E. K. & Chan, L. L. (2019). Differentiating Parkinson's disease motor subtypes using automated volume-based morphometry incorporating white matter and deep gray nuclear lesion load. Journal of Magnetic Resonance Imaging, 51(3), 748-756. https://dx.doi.org/10.1002/jmri.26887
Journal: Journal of Magnetic Resonance Imaging
Abstract: Background: Periventricular leukoaraiosis may be an important pathological change in postural instability gait disorder (PIGD), a motor subtype of Parkinson's disease (PD). Clinical diagnosis of PIGD may be challenging for the general neurologist. Purpose: To evaluate 1) the utility of a fully automated volume‐based morphometry (Vol‐BM) in characterizing imaging diagnostic markers in PD and PIGD, including, 2) novel deep gray nuclear lesion load (GMab), and 3) discriminatory performance of a Vol‐BM model construct in classifying the PIGD subtype.
URI: https://hdl.handle.net/10356/148904
ISSN: 1053-1807
DOI: 10.1002/jmri.26887
Rights: © 2019 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc.on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SSS Journal Articles

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