Patterns of striatal dopamine depletion in early Parkinson disease: Prognostic relevance

Seok Jong Chung, Hye Sun Lee, Han Soo Yoo, Yang Hyun Lee, Phil Hyu Lee, Young H. Sohn

Research output: Contribution to journalArticle

Abstract

OBJECTIVE: To investigate whether the patterns of striatal dopamine depletion on dopamine transporter (DAT) scans could provide information on the long-term prognosis in Parkinson disease (PD). METHODS: We enrolled 205 drug-naive patients with early-stage PD, who underwent 18F-FP-CIT PET scans at initial assessment and received PD medications for 3 or more years. After quantifying the DAT availability in each striatal subregion, factor analysis was conducted to simplify the identification of striatal dopamine depletion patterns and to yield 4 striatal subregion factors. We assessed the effect of these factors on the development of levodopa-induced dyskinesia (LID), wearing-off, freezing of gait (FOG), and dementia during the follow-up period (6.84 ± 1.80 years). RESULTS: The 4 factors indicated which striatal subregions were relatively preserved: factor 1 (caudate), factor 2 (more-affected sensorimotor striatum), factor 3 (less-affected sensorimotor striatum), and factor 4 (anterior putamen). Cox regression analyses using the composite scores of these striatal subregion factors as covariates demonstrated that selective dopamine depletion in the sensorimotor striatum was associated with a higher risk for developing LID. Selective dopamine loss in the putamen, particularly in the anterior putamen, was associated with early development of wearing-off. Selective involvement of the anterior putamen was associated with a higher risk for dementia conversion. However, the patterns of striatal dopamine depletion did not affect the risk of FOG. CONCLUSIONS: These findings suggested that the patterns of striatal dopaminergic denervation, which were estimated by the equation derived from the factor analysis, have a prognostic implication in patients with early-stage PD.

Original languageEnglish
Pages (from-to)e280-e290
JournalNeurology
Volume95
Issue number3
DOIs
Publication statusPublished - 2020 Jul 21

All Science Journal Classification (ASJC) codes

  • Clinical Neurology

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