Magnetic resonance imaging of brain structural and functional changes in cognitive impairment associated with Parkinson's disease

Front Aging Neurosci. 2024 Dec 4:16:1494385. doi: 10.3389/fnagi.2024.1494385. eCollection 2024.

Abstract

Cognitive impairment is a critical non-motor symptom of Parkinson's Disease (PD) that profoundly affects patients' quality of life. Magnetic Resonance Imaging (MRI) has emerged as a valuable tool for investigating the structural and functional brain changes associated with cognitive impairment in PD (PD-CI). MRI techniques enable the precise identification and monitoring of the onset and progression of cognitive deficits in PD. This review synthesizes recent literature on the use of MRI-based techniques, including voxel-based morphometry, diffusion tensor imaging, and functional MRI, in the study of PD-CI. By examining these imaging modalities, the article aims to elucidate the patterns of brain structural and functional alterations in PD-CI, offering critical insights that can inform clinical management and therapeutic strategies. In particular, this review provides a novel synthesis of recent advancements in understanding how specific MRI metrics, such as amplitude of low-frequency fluctuations, regional homogeneity, and functional connectivity, contribute to early detection and personalized treatment approaches for PD-CI. The integration of findings from these studies enhances our understanding of the neural mechanisms underlying cognitive impairment in PD and highlights the potential of MRI as a supportive tool in the clinical assessment and treatment of PD-CI.

Keywords: Parkinson’s disease; brain function; brain structure; cognitive impairment; magnetic resonance imaging.

Publication types

  • Review

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was partly supported by the National Foundation of Natural Science of China (82074537), and Joint Guidance Project of Natural Science Foundation of Heilongjiang Province (LH2021H101).