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Updated: Feb 9, 2026

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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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Single-cell resolution functional networks during unconsciousness are segregated into spatially intermixed modules.
Daiki Kiyooka1, Ikumi Oomoto2, Jun Kitazono3
1Department of General Systems Studies, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan.
Cell Reports
|February 7, 2026
Summary
Consciousness reduction during sleep and anesthesia shows scale-dependent brain network organization. Network segregation differs at single-cell versus mesoscale levels, challenging previous views.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Computational Neuroscience
Background:
- The neural basis for consciousness reduction during sleep and anesthesia is poorly understood.
- Limited spatial resolution in prior studies hindered exploring critical spatial scales of consciousness reduction.
Purpose of the Study:
- To investigate neural network organization across different spatial scales during reduced consciousness.
- To compare network structure during awake, sleeping, and anesthetized states in mice.
Main Methods:
- Recorded calcium signals from ~10,000 neurons across cortical regions in mice.
- Utilized single-cell resolution and wide-field two-photon microscopy.
- Analyzed network structure at single-cell and mesoscale levels.
Main Results:
- At the single-cell scale, both sleep and anesthesia showed higher network modularity (segregated networks) than wakefulness.
- Single-cell modules were spatially intermixed across all states.
- At the mesoscale, modularity differences between states were inconsistent, with spatially localized modules.
Conclusions:
- Brain network organization during reduced consciousness is scale-dependent.
- Traditional views of widespread network segregation during unconsciousness are challenged.
- Multi-scale analysis reveals complex network dynamics during altered states of consciousness.
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