Local striatal volume and motor reserve in drug-naïve Parkinson’s disease

Seong Ho Jeong, Eun Chong Lee, Seok Jong Chung, Hye Sun Lee, Jin Ho Jung, Young H. Sohn, Joon Kyung Seong, Phil Hyu Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Motor reserve (MR) may explain why individuals with similar pathological changes show marked differences in motor deficits in Parkinson’s disease (PD). In this study, we investigated whether estimated individual MR was linked to local striatal volume (LSV) in PD. We analyzed data obtained from 333 patients with drug naïve PD who underwent dopamine transporter scans and high-resolution 3-tesla T1-weighted structural magnetic resonance images. Using a residual model, we estimated individual MRs on the basis of initial UPDRS-III score and striatal dopamine depletion. We performed a correlation analysis between MR estimates and LSV. Furthermore, we assessed the effect of LSV, which is correlated with MR estimates, on the longitudinal increase in the levodopa-equivalent dose (LED) during the 4-year follow-up period using a linear mixed model. After controlling for intracranial volume, there was a significant positive correlation between LSV and MR estimates in the bilateral caudate, anterior putamen, and ventro-posterior putamen. The linear mixed model showed that the large local volume of anterior and ventro-posterior putamen was associated with the low requirement of LED initially and accelerated LED increment thereafter. The present study demonstrated that LSV is crucial to MR in early-stage PD, suggesting LSV as a neural correlate of MR in PD.

Original languageEnglish
Article number168
Journalnpj Parkinson's Disease
Volume8
Issue number1
DOIs
Publication statusPublished - 2022 Dec

Bibliographical note

Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (grant number: NRF2019R1A2C2085462).

Publisher Copyright:
© 2022, The Author(s).

All Science Journal Classification (ASJC) codes

  • Neurology
  • Clinical Neurology
  • Cellular and Molecular Neuroscience

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