Cerebral cortical areas in which thickness correlates with severity of motor deficits of Parkinson's disease

Chul Hyoung Lyoo, Young Hoon Ryu, Myung Sik Lee

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

The pathology of Parkinson's disease (PD) is not confined to the nigrostriatal dopaminergic pathway, but also involves widespread cerebral cortical areas. Such non-nigrostriatal lesions may contribute to disabling dopa-resistant parkinsonian motor deficits. We performed cortical thickness analysis to identify cerebral cortical brain areas in which thickness correlates with the severity of parkinsonian motor deficits. We performed T1-weighted brain magnetic resonance imaging studies in 142 PD patients. Motor scores on the Unified Parkinson's Disease Rating Scale (UPDRS) were measured, and subscores were calculated for bradykinesia, rigidity, tremor, and axial motor deficits. Using FreeSurfer software, we studied cortical areas in which thickness correlates with disease duration or the severity of parkinsonian motor deficits. The cortical thickness of the parieto-temporal association cortex, including the inferior parietal and posterior parietal cortices, showed a negative correlation with disease duration, total UPDRS motor score, and UPDRS subscores for bradykinesia and axial motor deficits. We found no cortical areas in which thickness correlated with subscores for tremor and rigidity. In addition to nigrostriatal dopaminergic deficit, progressive thinning of the parieto-temporal sensory association cortices related to disease duration seems to be related in part to the exacerbation of bradykinesia and the axial motor symptoms of PD.

Original languageEnglish
Pages (from-to)1871-1876
Number of pages6
JournalJournal of Neurology
Volume258
Issue number10
DOIs
Publication statusPublished - 2011 Oct

Bibliographical note

Funding Information:
This work was supported by a faculty research grant of Yonsei University College of Medicine (grant number 6-2010-0016).

All Science Journal Classification (ASJC) codes

  • Neurology
  • Clinical Neurology

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