한빛사논문
Seok Jong Chung, MD1,2, Yae Ji Kim, BS3,4, Jin Ho Jung, MD5,6, Hye Sun Lee, PhD7, Byoung Seok Ye, MD, PhD1, Young H. Sohn, MD, PhD1, Yong Jeong, MD, PhD3,4,8 and Phil Hyu Lee, MD, PhD1,9
1Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea;
2Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea
3Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
4KI for Health Science and Technology, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
5Department of Neurology, Inje University Busan Paik Hospital, Busan, South Korea
6Dementia and Neurodegenerative Disease Research Center, Inje University, Busan, South Korea
7Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea
8Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
9Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea
Corresponding Author: Phil Hyu Lee
Abstract
Objectives: Several clinical and neuroimaging biomarkers have been proposed to identify individuals with Parkinson’s disease (PD) who are at risk for ongoing cognitive decline. This study aimed to explore whether white matter (WM) connectivity disruption is associated with dementia conversion in patients with newly diagnosed PD with mild cognitive impairment (PD-MCI).
Methods: Seventy-five patients with drug-naïve PD-MCI who underwent serial cognitive assessments during the follow-up period (>5 years) were enrolled for the neuroimaging analyses. The patients were classified into either the PD with dementia (PDD) high-risk group (PDD-H, n = 38) or low-risk group (PDD-L, n = 37), depending on whether they converted to dementia within 5 years of PD diagnosis. We conducted degree-based statistic analyses based on a graph-theoretical concept to identify the subnetworks whose WM connectivity was disrupted in the PDD-H group compared with the PDD-L group.
Results: The PDD-H group showed poorer cognitive performance on frontal/executive, visual memory/visuospatial, and attention/working memory/language function than the PDD-L group at baseline assessment. The PDD-H group exhibited more severely disrupted WM connectivity in both frontal and posterior cortical regions with eight hub nodes in the degree-based statistic analysis. The strength of structural connectivity within the identified subnetworks was correlated with the composite scores of frontal/executive function domain (γ = 0.393) and the risk score of PDD conversion within 5 years (γ = -0.480).
Conclusions: This study demonstrated that disrupted WM connectivity in frontal and posterior cortical regions, which correlated with frontal/executive dysfunction, is associated with early dementia conversion in PD-MCI.
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