2026-02-07 理化学研究所,,東京大学,横浜市立大学,生理学研究所
細胞レベルの機能的ネットワークの統合・分離、細胞分布
<関連情報>
- https://www.riken.jp/press/2026/20260207_1/index.html
- https://www.cell.com/cell-reports/fulltext/S2211-1247(25)01674-2
無意識時の単一細胞解像度の機能ネットワークは空間的に混在したモジュールに分離されている Single-cell resolution functional networks during unconsciousness are segregated into spatially intermixed modules
Daiki Kiyooka ∙ Ikumi Oomoto ∙ Jun Kitazono ∙ … ∙ Kenta Kobayashi ∙ Masanori Murayama ∙ Masafumi Oizumi
Cell Reports Published:February 6, 2026
DOI:https://doi.org/10.1016/j.celrep.2025.116902
Highlights
- Cellular-resolution wide-field calcium imaging enables multi-scale network analysis
- Cellular-scale networks in sleep and anesthesia are more segregated than wakefulness
- Segregation is apparent only at the cellular level but not at the mesoscale
- Modules are intermixed at the cellular scale but localized at the mesoscale
Summary
The common neural mechanisms underlying the reduction of consciousness during sleep and anesthesia remain unclear. Previous studies have examined changes in network structure by only using recordings with limited spatial resolution, which has hindered the investigation of the critical spatial scales for the reduction of consciousness. To address this issue, we recorded calcium signals from approximately 10,000 neurons across multiple cortical regions in awake, sleeping, and anesthetized mice and compared network structure at different spatial scales by leveraging single-cell resolution and wide-field two-photon microscopy. At the single-cell scale, both sleep and anesthesia exhibit higher network modularity than an awake state, indicating a segregated network, but modules are spatially intermixed in all three states. In contrast, at the mesoscale, there are no consistent differences in modularity between states, and modules are spatially localized. Our multi-scale analysis challenges the traditional view of network segregation during unconsciousness and indicates a scale-dependent network organization.
