Evidence map›Paper›PMID 42056115›Full record

ArticleNature communications2026

Dynamic neuronal ensembles encode burst-suppression revealed by cortex-wide optical-electrical interfaces.

Guihua Xiao, Mo Yang, Lingbo Li, Xintong Yao, Jingyu Xie, Xinyue Wang, Jinyu Zang, Yan Zhao, Tianyi Fang, Shuying Wu and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Guihua Xiao *Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China. xiaoguihua@tsinghua.edu.cn.
Mo Yang *School of Biomedical Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0002-1966-1047
Lingbo Li *Department of Automation, Tsinghua University, Beijing, China.
Xintong YaoSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Jingyu XieDepartment of Automation, Tsinghua University, Beijing, China.
Xinyue WangSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Jinyu ZangSchool of Biomedical Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-2358-6011
Yan ZhaoSchool of Biomedical Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0008-6663-992X
Tianyi FangSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Shuying WuSchool of Biomedical Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0005-8043-2966
Wandi QiDepartment of Automation, Tsinghua University, Beijing, China.
Shipeng LinSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Wenxi SunKey Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing, China.
Ting LeiKey Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-8190-9483
Bo HongSchool of Biomedical Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-2900-6791
Jiamin WuBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China. wujiamin@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3479-1026
Qionghai DaiBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China. qhdai@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7043-3061
Xiaochuan DaiSchool of Biomedical Engineering, Tsinghua University, Beijing, China. xcdai@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-1876-8558

Funding

Beijing Nova Program 20230484252National Natural Science Foundation of China (National Science Foundation of China) 62171254National Natural Science Foundation of China (National Science Foundation of China) 82151305
6 · The paper itself

Abstract

Burst suppression is widely observed across cortical regions during reversible or pathological unconsciousness, yet its neuronal organization remains incompletely understood. Here we present an integrated Cortex-wide Optical-electrical Dual-modal Explorer (CODE) system to examine neuronal dynamics during burst suppression under isoflurane anesthesia in the mouse. We identified distinct cortex-wide neuronal ensembles that alternately associate with burst or suppression events, exhibiting dynamic neuronal recruitment and reactivation during anesthesia. Burst events were marked by highly synchronized neuronal activity early in the burst phase with high functional connectivity, whereas suppression events displayed more asynchronous, temporally distributed activity with reduced connectivity. Transitions between these states involved sequential, directionally organized propagation across cortical regions. ECoG bursts propagated from bilateral sensory cortices to motor areas within tens of milliseconds with increasing synchrony with calcium activity. Furthermore, we established a robust metric linking ECoG and calcium signals, revealing state-dependent interpretability. These findings reveal the single-neuron-to-population architecture of burst suppression and illustrate how integrated optical-electrical measurements enable high-resolution, large-scale interrogation of cortical dynamics.

Indexed as

Cerebral CortexNeuronsAction PotentialsAnimalsCalciumIsofluraneMiceMice, Inbred C57BLCalciumIsoflurane

Identifiers

PMID42056115
PMCPMC13333928

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.