Patterns of regional cerebral hypoperfusion in early Parkinson's disease: Clinical implications

Seok Jong Chung, Su Hong Kim, Chan Wook Park, Hye Sun Lee, Mijin Yun, Yun Joong Kim, Young H. Sohn, Yong Jeong, Phil Hyu Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: This study aimed to investigate whether regional cerebral perfusion patterns on early-phase 18F-FP-CIT PET scans, which is typically coupled to cerebral metabolism, predict the long-term prognosis of Parkinson's disease (PD). Methods: We enrolled 397 drug-naïve patients with early-stage PD who underwent dual-phase 18F-FP-CIT PET scans. After quantifying the early-phase 18F-FP-CIT PET images, cluster analysis was performed to delineate the PD subtypes according to the patterns of regional cerebral perfusion. We compared the risk of developing levodopa-induced dyskinesia (LID), wearing-off, freezing of gait (FOG), and dementia between the PD subtypes. Results: Cluster analysis classified patients into three subtypes: cluster 1 (relatively preserved cortical uptake; n = 175), cluster 2 (decreased uptake in the frontal, parietal, and temporal regions; n = 151), and cluster 3 (decreased uptake in more extensive regions, additionally involving the lateral occipital regions; n = 71). Cluster 1 was characterized by a younger age-of-onset, less severe motor deficits, less severely decreased 18F-FP-CIT binding in the caudate, and better cognitive performance. Cluster 3 was characterized by an older age-of-onset, more severe motor deficits, and poorer cognitive performance. Cluster 2 was intermediate between clusters 1 and 3. Cox regression analyses demonstrated that clusters 2 and 3 had a higher risk for dementia conversion than cluster 1, whereas the risk for developing LID, wearing-off, and FOG did not differ among the clusters. Conclusion: The patterns of regional cerebral perfusion can provide information on long-term prognosis with regards to cognitive, but not motor aspects of patients with early-stage PD.

Original languageEnglish
Article number106024
JournalParkinsonism and Related Disorders
Volume121
DOIs
Publication statusPublished - 2024 Apr

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Neurology
  • Geriatrics and Gerontology
  • Clinical Neurology

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