SYSTEMATIC REVIEW article
Front. Aging Neurosci.
Sec. Parkinson’s Disease and Aging-related Movement Disorders
Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1624420
Mapping the Research Landscape of Mild Cognitive Impairment in Parkinson's Disease: A Bibliometric and Visualization Analysis
Provisionally accepted
- 1Ningbo Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China
- 2Department of Rehabilitation, Wuhan No.4 Hospital, Wuhan, China
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Background: Mild Cognitive Impairment in Parkinson's Disease, a common non-motor symptom of Parkinson's disease, significantly impacts individuals' quality of life and predicts dementia risk, underscoring its clinical research importance. This study aimed to characterize the global bibliometric landscape and identify research hotspots, knowledge gaps, and future trends in the PD-MCI field over the past two decades using bibliometric and visualization methods. Methods: Literature related to PD-MCI published between 2005 and 2024 was retrieved from the Web of Science Core Collection database. Tools such as CiteSpace and VOSviewer were employed for visual analysis of annual publication volume, country/institutional distribution, author collaborations, journal co-citations, and keyword co-occurrence and bursts, constructing knowledge maps. Results: PD-MCI research demonstrated significant growth, with sustained increases in annual publication volume and citation frequency. The United States dominated the field, while research output from countries like China grew rapidly. Research hotspots evolved from early explorations of molecular mechanisms towards clinical and translational studies focusing on neuroimaging, biomarkers, application of MDS diagnostic criteria, non-motor symptoms, and cognitive subtypes. Recently, machine learning, multi-omics integration, neuroinflammation, and mitochondrial function have emerged as new frontiers. Conclusion: PD-MCI research has progressed from basic mechanism exploration to a multidisciplinary, integrated clinical-basic stage, following an evolutionary path of "pathological mechanism - clinical phenotype - biomarker - intervention strategy." Future research should focus on unifying diagnostic criteria, deepening understanding of multifactorial pathological mechanisms, developing precise biomarker combinations, and exploring individualized intervention strategies to achieve early warning and disease modification for PD-MCI.
Keywords: Parkinson's disease, Mild Cognitive Impairment, bibliometric analysis, Visualization analysis, Research Frontiers
Received: 07 May 2025; Accepted: 25 Aug 2025.
Copyright: © 2025 Peng, Peng, Li and Ma. 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: Zihua Ma, Ningbo Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China
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