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Dataset Information

Unveiling functional-metabolic synergy in the healthy brain: multivariate integration of dynamic [<sup>18</sup>F]FDG-PET and resting-state fMRI.


ABSTRACT:

Introduction

Despite accounting for only 2% of body weight, the human brain requires significant amounts of glucose, even at rest, underscoring the importance of functional-metabolic relationships. Previous studies revealed moderate associations between resting-state fMRI functional connectivity (FC) and local metabolism via [18F]FDG-PET, yet much remains to be understood, particularly regarding their coupling between functional and metabolic networks.

Methods

To this end, we employed multivariate Partial Least Squares Correlation (PLSC) to investigate the functional-metabolic relationship at both nodal and network level. From dynamic [18F]FDG-PET data we estimated parameters describing glucose metabolism -delivery rate ( K1 ), phosphorylation rate ( k3

SUBMITTER: Tarricone C 

PROVIDER: S-EPMC12154603 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature