The brain's "dark energy" puzzle: How strongly is glucose metabolism linked to resting-state brain activity?

ABSTRACT: Brain glucose metabolism, which can be investigated at the macroscale level with [¹⁸F]FDG PET, displays significant regional variability for reasons that remain unclear. Some of the functional drivers behind this heterogeneity may be captured by resting-state functional magnetic resonance imaging (rs-fMRI). However, the full extent to which an fMRI-based description of the brain's spontaneous activity can describe local metabolism is unknown. Here, using two multimodal datasets of healthy participants, we built a multivariable multilevel model of functional-metabolic associations, assessing multiple functional features, describing the 1) rs-fMRI signal, 2) hemodynamic response, 3) static and 4) time-varying functional connectivity, as predictors of the human brain's metabolic ar

SUBMITTER: Volpi T 

PROVIDER: S-EPMC11342718 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature