Shih, Yao-Chia and Tseng, Wen-Yih Isaac and Montaser-Kouhsari, Leila (2023) Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review. Frontiers in Aging Neuroscience, 14. ISSN 1663-4365
pubmed-zip/versions/1/package-entries/fnagi-14-1018017/fnagi-14-1018017.pdf - Published Version
Download (619kB)
Abstract
Parkinson’s disease (PD) is the second most common age-related neurodegenerative disease with cardinal motor symptoms. In addition to motor symptoms, PD is a heterogeneous disease accompanied by many non-motor symptoms that dominate the clinical manifestations in different stages or subtypes of PD, such as cognitive impairments. The heterogeneity of PD suggests widespread brain structural changes, and axonal involvement appears to be critical to the pathophysiology of PD. As α-synuclein pathology has been suggested to cause axonal changes followed by neuronal degeneration, diffusion tensor imaging (DTI) as an in vivo imaging technique emerges to characterize early detectable white matter changes due to PD. Here, we reviewed the past 5-year literature to show how DTI has helped identify axonal abnormalities at different PD stages or in different PD subtypes and atypical parkinsonism. We also showed the recent clinical utilities of DTI tractography in interventional treatments such as deep brain stimulation (DBS). Mounting evidence supported by multisite DTI data suggests that DTI along with the advanced analytic methods, can delineate dynamic pathophysiological processes from the early to late PD stages and differentiate distinct structural networks affected in PD and other parkinsonism syndromes. It indicates that DTI, along with recent advanced analytic methods, can assist future interventional studies in optimizing treatments for PD patients with different clinical conditions and risk profiles.
Item Type: | Article |
---|---|
Subjects: | STM One > Medical Science |
Depositing User: | Unnamed user with email support@stmone.org |
Date Deposited: | 15 Apr 2023 08:14 |
Last Modified: | 06 Jul 2024 07:30 |
URI: | http://publications.openuniversitystm.com/id/eprint/756 |