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Peer-reviewedCC BY 4.0Frontiers in Neuroscience

Macroscopic cerebral energy efficiency corresponds to neuron reorganization in awake and anesthetized mice

  • Da Wang1,2
  • Hui Li1
  • Jinggui Gao3
  • Yifan Zeng1,2
  • Mengyang Xu1,2,4,5
  • Binshi Bo6
  • Mengchao Pei6
  • Zhifeng Liang6
  • Ning Zhou1
  • Garth J. Thompson1,7
7 affiliations
  1. 1iHuman Institute, ShanghaiTech University
  2. 2School of Life Science and Technology, ShanghaiTech University
  3. 3Department of Neurology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital
  4. 4Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences
  5. 5University of Chinese Academy of Sciences
  6. 6CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences
  7. 7School of Pharmacy, Anhui University of Chinese Medicine
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Abstract

Introduction: Non-invasive imaging of brain function and energy supply is crucial for diagnosing and treating brain disorders. Conventional imaging struggles to capture altered relationships between energy supply and demand caused by brain diseases. A novel method, thus far only tested non-invasively in human subjects, is to calculate relative power (rPWR) and relative cost (rCST) to assess cerebral energy efficiency. However, whether rPWR/rCST tracks individual changes and relate to neural activity remains unproven.

Methods: Our study examines awake and anesthetized male mice and compares rPWR/rCST with invasive two-photon microscopy.

Results: We found that rPWR/rCST distributions were similar between awake mice and humans, but changed in anesthetized mice, indicating a shift in the brain’s economic balance. Furthermore, changes in rPWR/rCST were linked to the reorganization of microscopic neural networks, observed with two-photon microscopy.

Discussion: Our work highlights the potential of rPWR/rCST for medical applications, and that neural network reorganization is linked to the brain’s economic balance.

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Cite

BibTeXRIS
BibTeX
@article{wang2026macroscopic,
  title = {{Macroscopic cerebral energy efficiency corresponds to neuron reorganization in awake and anesthetized mice}},
  author = {Da Wang and Hui Li and Jinggui Gao and Yifan Zeng and Mengyang Xu and Binshi Bo and Mengchao Pei and Zhifeng Liang and Ning Zhou and Garth J. Thompson},
  journal = {Frontiers in Neuroscience},
  year = {2026},
  month = oct,
  doi = {10.3389/fnins.2026.1949911},
  url = {https://www.frontiersin.org/articles/10.3389/fnins.2026.1949911/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Macroscopic cerebral energy efficiency corresponds to neuron reorganization in awake and anesthetized mice
AU  - Da Wang
AU  - Hui Li
AU  - Jinggui Gao
AU  - Yifan Zeng
AU  - Mengyang Xu
AU  - Binshi Bo
AU  - Mengchao Pei
AU  - Zhifeng Liang
AU  - Ning Zhou
AU  - Garth J. Thompson
PY  - 2026
DA  - 2026/10/09
JO  - Frontiers in Neuroscience
DO  - 10.3389/fnins.2026.1949911
UR  - https://www.frontiersin.org/articles/10.3389/fnins.2026.1949911/full
AB  - Introduction: Non-invasive imaging of brain function and energy supply is crucial for diagnosing and treating brain disorders. Conventional imaging struggles to capture altered relationships between energy supply and demand caused by brain diseases. A novel method, thus far only tested non-invasively in human subjects, is to calculate relative power (rPWR) and relative cost (rCST) to assess cerebral energy efficiency. However, whether rPWR/rCST tracks individual changes and relate to neural activity remains unproven.  Methods: Our study examines awake and anesthetized male mice and compares rPWR/rCST with invasive two-photon microscopy.  Results: We found that rPWR/rCST distributions were similar between awake mice and humans, but changed in anesthetized mice, indicating a shift in the brain’s economic balance. Furthermore, changes in rPWR/rCST were linked to the reorganization of microscopic neural networks, observed with two-photon microscopy.  Discussion: Our work highlights the potential of rPWR/rCST for medical applications, and that neural network reorganization is linked to the brain’s economic balance.
SN  - 1662-453X
SN  - 1662-4548
ER  -