This study explores the dynamic states of functional brain connectivity and their relationship with glucose metabolism. A multimodal approach integrating resting-state functional MRI (rs-fMRI) and [18F]FDG-PET was used to investigate how temporal fluctuations in functional connectivity states correlate with regional metabolic activity. The findings provide new insights into the interplay between functional dynamics and energy demands in the healthy brain, contributing to a deeper understanding of neural processes and offering a foundation for future investigations into pathological conditions.
This study explores the dynamic states of functional brain connectivity and their relationship with glucose metabolism. A multimodal approach integrating resting-state functional MRI (rs-fMRI) and [18F]FDG-PET was used to investigate how temporal fluctuations in functional connectivity states correlate with regional metabolic activity. The findings provide new insights into the interplay between functional dynamics and energy demands in the healthy brain, contributing to a deeper understanding of neural processes and offering a foundation for future investigations into pathological conditions.
Dynamics of Brain Connectivity in Relation to Glucose Metabolism: A Multimodal Study with rs-fMRI and [18F]FDG-PET
TOMASI, SARA
2024/2025
Abstract
This study explores the dynamic states of functional brain connectivity and their relationship with glucose metabolism. A multimodal approach integrating resting-state functional MRI (rs-fMRI) and [18F]FDG-PET was used to investigate how temporal fluctuations in functional connectivity states correlate with regional metabolic activity. The findings provide new insights into the interplay between functional dynamics and energy demands in the healthy brain, contributing to a deeper understanding of neural processes and offering a foundation for future investigations into pathological conditions.| File | Dimensione | Formato | |
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Tomasi_Sara.pdf
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https://hdl.handle.net/20.500.12608/90727