Spectral guided sparse inverse covariance estimation of metabolic networks in Parkinson's disease.

ABSTRACT: In neurodegenerative disorders, a clearer understanding of the underlying aberrant networks facilitates the search for effective therapeutic targets and potential cures. [¹⁸F]-fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging data of brain metabolism reflects the distribution of glucose consumption known to be directly related to neural activity. In FDG PET resting-state metabolic data, characteristic disease-related patterns have been identified in group analysis of various neurodegenerative conditions using principal component analysis of multivariate spatial covariance. Notably, among several parkinsonian syndromes, the identified Parkinson's disease-related pattern (PDRP) has been repeatedly validated as an imaging biomarker of PD in independent groups worl

SUBMITTER: Spetsieris PG 

PROVIDER: S-EPMC8409106 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature