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ORIGINAL RESEARCH article
Front. Aging Neurosci.
Sec. Parkinson’s Disease and Aging-related Movement Disorders
Volume 16 - 2024 |
doi: 10.3389/fnagi.2024.1476701
Total Burden of Cerebral Small Vessel Disease Predict Subjective Cognitive Decline in patients with Parkinson's disease
Provisionally accepted- 1 Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
- 2 Department of neurology, the Affiliated Huai’an Hospital of Xuzhou Medical University, Huai'an, China
- 3 Department of Neurology, Lianshui County People’s Hospital, Huai'an, China
- 4 Department of Neurology, Qidong People’s Hospital, Nantong, Jiangsu Province, China
- 5 Department of Radiology, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China
This study investigates the correlation between the total burden of Cerebral Small Vessel Disease (CSVD) and Subjective Cognitive Decline (SCD) in patients with Parkinson's disease (PD). A crosssectional design was employed, involving 422 patients with PD. Demographic and clinical data were collected. Brain magnetic resonance imaging (MRI) was conducted to identify CSVD markers. SCD was assessed using the Cognitive Complaints Inventory (CCI). Logistic regression analyses revealed that the total burden of CSVD and specific imaging markers, including Deep White Matter Hyperintensities (DWMH), Periventricular Hyperintensities (PVH), and Enlarged Perivascular Spaces (EPVS), were significant predictors of SCD. The total burden of CSVD demonstrated the highest predictive accuracy for SCD in PD patients. The findings suggest that the total burden of CSVD, as measured by MRI, could serve as a potential biomarker for early identification of cognitive decline in PD, highlighting the importance of considering vascular factors in the early detection of cognitive changes in PD.
Keywords: Parkinson's disease, Subjective cognitive decline, Cerebral small vessel disease, Magnetic Resonance Imaging, predictive biomarkers
Received: 06 Aug 2024; Accepted: 06 Nov 2024.
Copyright: © 2024 Qiu, Hu, Ge, Liu, Zhao, Lu, Tao and Xue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Shouru Xue, Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China
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