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Dataset Information

Gait-Related Metabolic Covariance Networks at Rest in Parkinson's Disease.


ABSTRACT:

Background

Gait impairments are characteristic motor manifestations and significant predictors of poor quality of life in Parkinson's disease (PD). Neuroimaging biomarkers for gait impairments in PD could facilitate effective interventions to improve these symptoms and are highly warranted.

Objective

The aim of this study was to identify neural networks of discrete gait impairments in PD.

Methods

Fifty-five participants with early-stage PD and 20 age-matched healthy volunteers underwent quantitative gait assessment deriving 12 discrete spatiotemporal gait characteristics and [18 F]-2-fluoro-2-deoxyglucose-positron emission tomography measuring resting cerebral glucose metabolism. A multivariate spatial covariance approach was used to identify metabolic brai

SUBMITTER: Sigurdsson HP 

PROVIDER: S-EPMC9314598 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature