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Updated: May 29, 2026

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner
Published on: June 7, 2024
[Small-world properties of glucose metabolism based brain functional network]
Fang Zhang1, Jiange Zhang, Chuantao Zuo
1Department of Biomedical Engineering, School of Medicine, Shanghai Jiaotong University, Shanghai 200025. peggy_zhang@shsmu.edu.cn
Brain glucose metabolism networks exhibit efficient small-world properties. This study demonstrates the feasibility of using 18F-FDG PET imaging to analyze human brain functional networks.
Area of Science:
- Neuroscience
- Medical Imaging
- Network Science
Context:
- The human brain's functional organization is complex and not fully understood.
- Positron Emission Tomography (PET) with 18F-FDG measures regional cerebral glucose metabolism.
- Understanding brain network efficiency is crucial for cognitive and neurological studies.
Purpose:
- To construct a whole-brain functional network model based on glucose metabolism.
- To assess the cost and efficiency of this brain functional network.
- To characterize the network's topological properties.
Summary:
- 18F-FDG PET scans from 148 healthy adults were used to create functional connectivity maps of 90 brain regions.
- The resulting glucose metabolism brain functional networks demonstrated small-world characteristics, balancing global and local efficiency.
- Optimal cost-efficiency was observed at a network cost of 0.23, within the small-world regime (Cost-[0.0512, 0.5406]).
Impact:
- This research establishes that glucose metabolism brain functional networks possess economical small-world properties.
- It validates the use of 18F-FDG PET imaging for analyzing human brain functional characteristics.
- Provides a novel methodological approach for brain function research.
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