Evidence map›Paper›PMID 41027892›Full record

ArticleNature communications2025

Prominent involvement of acetylcholine dynamics in stable olfactory representation across the Drosophila brain.

Jiaqi Fan, Yuling Wang, Lingbo Li, Jing He, Zhifeng Zhao, Fei Deng, Guochuan Li, Xinyang Li, Yiliang Zhou, Jiayin Zhao and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

16 authors.

Jiaqi Fan *Department of Automation, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0001-1860-3729
Yuling Wang *Department of Automation, Tsinghua University, Beijing, China.
Lingbo Li *Department of Automation, Tsinghua University, Beijing, China.
Jing HeDepartment of Automation, Tsinghua University, Beijing, China.
Zhifeng ZhaoDepartment of Automation, Tsinghua University, Beijing, China.
Fei DengState Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1997-4572
Guochuan LiState Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing, China.
Xinyang LiCollege of AI, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-3880-5448
Yiliang ZhouDepartment of Automation, Tsinghua University, Beijing, China.
Jiayin ZhaoDepartment of Automation, Tsinghua University, Beijing, China.
Ning HuangIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Yixin HuDepartment of Automation, Tsinghua University, Beijing, China.
Yulong LiState Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-9166-9919
Jiamin WuDepartment of Automation, Tsinghua University, Beijing, China. wujiamin@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3479-1026
Lu FangDepartment of Electronic Engineering, Tsinghua University, Beijing, China. fanglu@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3552-0367
Qionghai DaiDepartment of Automation, Tsinghua University, Beijing, China. qhdai@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7043-3061

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62125106National Natural Science Foundation of China (National Science Foundation of China) 62222508National Natural Science Foundation of China (National Science Foundation of China) 62231018
6 · The paper itself

Abstract

Despite the vital role of neuromodulators and neurotransmitters in the neural system, their spatiotemporal correlation with neuronal activities across multiple brain regions remain unclear. Here, we employed two-photon synthetic aperture microscopy (2pSAM) and neurochemical indicators to simultaneously record calcium and acetylcholine (ACh)/5-HT dynamics across multiple regions of the Drosophila brain over 2 h. Presenting 3 different odors across multiple trials, our analyses revealed signal-specific differences in responsiveness, functional connectivity, and odor classification accuracy across the brain. We further constructed low-dimensional manifolds to characterize the global odor-related dynamics. Incorporating both calcium and ACh signals enhanced odor classification accuracy in the global low-dimensional manifold and in specific brain regions where their functional connectivity network features exhibited complementary patterns. Moreover, ACh dynamics demonstrated relatively stable temporal characteristics compared to calcium and 5-HT. These results suggest the potential contribution of ACh to consistent odor representations and illustrate the utility of multi-signal imaging in studying neural computation.

Indexed as

AcetylcholineBrainDrosophila melanogasterOlfactory PathwaysOlfactory PerceptionSmellAnimalsCalciumDrosophilaOdorantsSerotoninAcetylcholineCalciumSerotonin

Identifiers

PMID41027892
PMCPMC12485117

What OpenQuestion holds

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LicenceCC BY
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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.