Evidence map›Paper›PMID 42747725›Full record

ArticleNeuroscience bulletin2026

Evolution and Reorganization of the Hierarchical Brain-wide Neuronal Network Through Anesthesia.

Hong-Jing Chen, Mei-Ting Zhao, Zhi-Feng Lv, Jie Hao, Wen-Jie Du, Chun-Feng Shang

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Article in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hong-Jing ChenGuangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Key Laboratory, Jinan University, Shenzhen, 518053, China.
Mei-Ting ZhaoInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Zhi-Feng LvInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Jie HaoInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. jie.hao@ia.ac.cn.
Wen-Jie DuDepartment of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, 200040, China. wenjiedu@outlook.com.ORCID https://orcid.org/0000-0001-5698-4617
Chun-Feng ShangGuangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Key Laboratory, Jinan University, Shenzhen, 518053, China. cfshang@jnu.edu.cn.ORCID https://orcid.org/0009-0004-6304-2934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain fluctuates across different states, such as anesthesia and wakefulness, which differ in sensory responses and inherent fluctuations. Although these have been intensively studied at the molecule-to-brain regional network level, the underlying mechanisms by which neuronal interactions across the brain generate global states, and the transitions between them, remain unclear. In the present study, we applied fast wide-field calcium imaging to track neuronal activity across the brains of freely swimming juvenile zebrafish during wakefulness and anesthesia. Herein, we developed a methodological pipeline to dissect the functional coordination of a brain-wide neuronal network and characterize neuronal participation in functional clusters over time. Our analyses showed that a dynamic population of local neurons supported stable inter-regional coordination and the hierarchical organization of neurons across the brain, which deteriorated upon anesthesia, but recovered along with swimming behavior. This paradigm may apply to deciphering the emergent principles underlying global information processing.

Indexed as

AnesthesiaBrain stateBrain-wide imagingCalcium imagingNeuronal ensembleNeuronal networksPropofolZebrafish

Identifiers

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Registered trials

None linked

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 Socratic graph.