Abnormal metabolic pattern associated with cognitive impairment in Parkinson's disease: A validation study

Sanne K. Meles, Chris C. Tang, Laura K. Teune, Rudi A. Dierckx, Vijay Dhawan, Paul J. Mattis, Klaus L. Leenders, David Eidelberg*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

25 Citations (Scopus)

Abstract

Cognitive deficits in Parkinson's disease (PD) have been associated with a specific metabolic covariance pattern. Although the expression of this PD cognition-related pattern (PDCP) correlates with neuropsychological performance, it is not known whether the PDCP topography is reproducible across PD populations. We therefore sought to identify a PDCP topography in a new sample comprised of 19 Dutch PD subjects. Network analysis of metabolic scans from these individuals revealed a significant PDCP that resembled the original network topography. Expression values for the new PDCP correlated (P = 0.001) with executive dysfunction on the Frontal Assessment Battery (FAB). Subject scores for the new PDCP correlated (P <0.001) with corresponding values for the original pattern, which also correlated (P <0.005) with FAB scores in this patient group. For further validation, subject scores for the new PDCP were computed in an independent group of 86 American PD patients. In this cohort, subject scores for the new and original PDCP topographies were closely correlated (P <0.001); significant correlations between pattern expression and cognitive performance (P <0.05) were observed for both PDCP topographies. These findings suggest that the PDCP is a replicable imaging marker of PD cognitive dysfunction.

Original languageEnglish
Pages (from-to)1478-1484
Number of pages7
JournalJournal of Cerebral Blood Flow and Metabolism
Volume35
Issue number9
DOIs
Publication statusPublished - Sep-2015

Keywords

  • brain network
  • cognitive impairment
  • FDG PET
  • metabolic pattern
  • Parkinson's disease
  • FRONTAL ASSESSMENT BATTERY
  • NETWORK ACTIVITY
  • BRAIN NETWORKS
  • DEMENTIA
  • DYSFUNCTION
  • PROGRESSION
  • SYMPTOMS

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