Abstract

Patients with Parkinson’s disease and cognitive impairment (PD-CI) deteriorate faster than those without cognitive impairment (PD-NCI), suggesting an underlying difference in the neurodegeneration process. We aimed to verify brain age differences in PD-CI and PD-NCI and their clinical significance. A total of 94 participants (PD-CI, n = 27; PD-NCI, n = 34; controls, n = 33) were recruited. Predicted age difference (PAD) based on gray matter (GM) and white matter (WM) features were estimated to represent the degree of brain aging. Patients with PD-CI showed greater GM-PAD (7.08 ± 6.64 years) and WM-PAD (8.82 ± 7.69 years) than those with PD-NCI (GM: 1.97 ± 7.13, Padjusted = 0.011; WM: 4.87 ± 7.88, Padjusted = 0.049) and controls (GM: -0.58 ± 7.04, Padjusted = 0.004; WM: 0.88 ± 7.45, Padjusted = 0.002) after adjusting demographic factors. In patients with PD, GM-PAD was negatively correlated with MMSE (Padjusted = 0.011) and MoCA (Padjusted = 0.013) and positively correlated with UPDRS Part II (Padjusted = 0.036). WM-PAD was negatively correlated with logical memory of immediate and delayed recalls (Padjusted = 0.003 and Padjusted < 0.001). Also, altered brain regions in PD-CI were identified and significantly correlated with brain age measures, implicating the neuroanatomical underpinning of neurodegeneration in PD-CI. Moreover, the brain age metrics can improve the classification between PD-CI and PD-NCI. The findings suggest that patients with PD-CI had advanced brain aging that was associated with poor cognitive functions. The identified neuroimaging features and brain age measures can serve as potential biomarkers of PD-CI.

Details

Title
Advanced brain aging in Parkinson’s disease with cognitive impairment
Author
Chen, Chang-Le 1 ; Cheng, Shao-Ying 2 ; Montaser-Kouhsari, Leila 3 ; Wu, Wen-Chao 4 ; Hsu, Yung-Chin 5   VIAFID ORCID Logo  ; Tai, Chun-Hwei 6 ; Tseng, Wen-Yih Isaac 7 ; Kuo, Ming-Che 8   VIAFID ORCID Logo  ; Wu, Ruey-Meei 6 

 National Taiwan University College of Medicine, Institute of Medical Device and Imaging, Taipei, Taiwan (GRID:grid.19188.39) (ISNI:0000 0004 0546 0241); University of Pittsburgh, Department of Bioengineering, Pittsburgh, USA (GRID:grid.21925.3d) (ISNI:0000 0004 1936 9000) 
 National Taiwan University Hospital Bei-Hu Branch, Department of Neurology, Taipei, Taiwan (GRID:grid.412094.a) (ISNI:0000 0004 0572 7815) 
 Harvard University, Department of Neurology, Boston, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X) 
 National Taiwan University College of Medicine, Institute of Medical Device and Imaging, Taipei, Taiwan (GRID:grid.19188.39) (ISNI:0000 0004 0546 0241) 
 Acroviz Inc, Taipei, Taiwan (GRID:grid.520105.3) 
 National Taiwan University Hospital, Department of Neurology, Taipei, Taiwan (GRID:grid.412094.a) (ISNI:0000 0004 0572 7815) 
 National Taiwan University College of Medicine, Institute of Medical Device and Imaging, Taipei, Taiwan (GRID:grid.19188.39) (ISNI:0000 0004 0546 0241); Acroviz Inc, Taipei, Taiwan (GRID:grid.520105.3); National Taiwan University Hospital, Department of Medical Imaging, Taipei, Taiwan (GRID:grid.412094.a) (ISNI:0000 0004 0572 7815) 
 National Taiwan University Hospital, Department of Neurology, Taipei, Taiwan (GRID:grid.412094.a) (ISNI:0000 0004 0572 7815); National Taiwan University Cancer Center, Department of Medicine, Taipei, Taiwan (GRID:grid.19188.39) (ISNI:0000 0004 0546 0241); National Taiwan University, Neurobiology and Cognitive Science Center, Taipei, Taiwan (GRID:grid.19188.39) (ISNI:0000 0004 0546 0241) 
Pages
62
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
23738057
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2957801980
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.