Identifying a glucose metabolic brain pattern in an adeno-associated viral vector based rat model for Parkinson's disease using ¹⁸F-FDG PET imaging.

ABSTRACT: We investigated the glucose metabolism in an adeno-associated viral vector based alpha-synuclein rat model for Parkinson's disease (PD) using longitudinal ¹⁸F-FDG PET imaging, which resulted in an improved characterization of this animal model. We generated a PD specific pattern (PDSP) based on a multivariate classification approach to differentiate between a PD and control group at a late disease stage, where the neurodegeneration is considered nearly complete. In particular, we applied a principal component analysis prior to classification by a support vector machine (SVM). Moreover, by using a SVM for regression to predict corresponding motor scores, a PD motor pattern (PDMP) was derived as well. The PDSP mainly corresponds to the PDMP and overlaps to a large extent with the

SUBMITTER: Devrome M 

PROVIDER: S-EPMC6710432 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature