Differentiating Parkinson's disease motor subtypes using automated volume-based morphometry incorporating white matter and deep gray nuclear lesion load

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 f...

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Bibliographic Details
Main 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
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/148904
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.