Brain metabolic-functional (de)coupling from health to glioma dysfunction

The interplay between brain metabolism and function supports the brain's adaptive capacity in cognitively demanding processes. Prior work has linked glucose metabolism to resting-state fMRI activity, but often overlooks both hemodynamic confounders in the BOLD signal and the brain's dynamic nature. To address this, we employed a novel effective connectivity decomposition, separating symmetric partial covariance, capturing "true" statistical dependencies between regions, from antisymmetric differential covariance, reflecting directional brain flow. In 42 healthy subjects, we show that partial covariance corresponds to metabolic connectivity across regions, while node directionality relates to standardized uptake value ratio, a proxy for local glucose consumption. We subsequently tested the sensitivity of detected couplings in 43 glioma patients, identifying disruptions in both local and network-level effective-metabolic interactions that varied with tumor anatomical location. Our findings provide novel insights into the coupling between brain metabolism and functional dynamics at rest, advancing understanding of healthy and pathological brain states.

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Publication Details

Journal
Communications Biology
Published
2025-12-04
DOI
https://doi.org/10.1038/s42003-025-09181-7
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Brain metabolic-functional (de)coupling from health to glioma dysfunction

Manu S. Goyal, Giulia Vallini, Andrei G. Vlassenko, Diego Cecchin et al.
Communications Biology
Functional Brain Connectivity Studies
article

Brain metabolic-functional (de)coupling from health to glioma dysfunction

Manu S. Goyal, Giulia Vallini, Andrei G. Vlassenko, Diego Cecchin, Alessandra Bertoldo, Giorgia Baron, Tommaso Volpi, Alessandro Chiuso, Erica Silvestri, Maurizio Corbetta
article en

Abstract

The interplay between brain metabolism and function supports the brain's adaptive capacity in cognitively demanding processes. Prior work has linked glucose metabolism to resting-state fMRI activity, but often overlooks both hemodynamic confounders in the BOLD signal and the brain's dynamic nature. To address this, we employed a novel effective connectivity decomposition, separating symmetric partial covariance, capturing "true" statistical dependencies between regions, from antisymmetric differential covariance, reflecting directional brain flow. In 42 healthy subjects, we show that partial covariance corresponds to metabolic connectivity across regions, while node directionality relates to standardized uptake value ratio, a proxy for local glucose consumption. We subsequently tested the sensitivity of detected couplings in 43 glioma patients, identifying disruptions in both local and network-level effective-metabolic interactions that varied with tumor anatomical location. Our findings provide novel insights into the coupling between brain metabolism and functional dynamics at rest, advancing understanding of healthy and pathological brain states.

Communications BiologyVol. 9(1)
University of Padua (IT), Yale University (US), Mallinckrodt (United States) (US), Clinique Romande de Réadaptation (CH), École Polytechnique Fédérale de Lausanne (CH)
Massachusetts General Hospital, Università degli Studi di Padova, National Institutes of Health, McDonnell Center for Systems Neuroscience, National Institute on Aging
Openalex Percentile: Top 61%
Functional Brain Connectivity Studies
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