Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain states.

ABSTRACT: Functional MRI-based graph theory has provided profound insights into the brain's functional organization, yet the neuroenergetic meaning of widely used graph-theoretical metrics remains poorly understood. Although resting-state research suggests a positive coupling between network topology and glucose metabolism, it remains unclear whether this relationship reflects a general principle of brain organization or a state-specific phenomenon. Here, we test the neuroenergetic interpretability of nodal graph-theoretical metrics by linking complex network topology to cerebral glucose consumption across diverse brain states. Leveraging simultaneous functional PET-MRI, we directly compare state-dependent fluctuations in glucose consumption and network topology during sensory, cognitive, and arousa

SUBMITTER: Feng S 

PROVIDER: S-EPMC12803132 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature