Evidence map›Paper›PMID 39681671›Full record

ArticleNature computational science2024

An integrative data-driven model simulating C. elegans brain, body and environment interactions.

Mengdi Zhao, Ning Wang, Xinrui Jiang, Xiaoyang Ma, Haixin Ma, Gan He, Kai Du, Lei Ma, Tiejun Huang

Abstract read
In one paragraph

Article in Nature computational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Reductionism in Engram Neuroscience.The European journal of neuroscience · 2026
    Review
  2. The digital sphinx: Can a worm brain control a fly body?bioRxiv : the preprint server for biology · 2026
    Article
  3. From small brains to smart machines: translatingFrontiers in neural circuits · 2026
    Review
  4. Article
  5. Article
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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

9 authors.

Mengdi Zhao *Beijing Academy of Artificial Intelligence, Beijing, China.
Ning Wang *Beijing Academy of Artificial Intelligence, Beijing, China.ORCID 0009-0000-3106-6254
Xinrui JiangBeijing Academy of Artificial Intelligence, Beijing, China.
Xiaoyang MaBeijing Academy of Artificial Intelligence, Beijing, China.ORCID 0009-0009-6395-3187
Haixin MaBeijing Academy of Artificial Intelligence, Beijing, China.
Gan HeBeijing Academy of Artificial Intelligence, Beijing, China.ORCID 0000-0001-5746-8737
Kai DuBeijing Academy of Artificial Intelligence, Beijing, China.ORCID 0000-0002-7505-1561
Lei MaBeijing Academy of Artificial Intelligence, Beijing, China. lei.ma@pku.edu.cn.ORCID 0000-0001-6024-3854
Tiejun HuangBeijing Academy of Artificial Intelligence, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The behavior of an organism is influenced by the complex interplay between its brain, body and environment. Existing data-driven models focus on either the brain or the body-environment. Here we present BAAIWorm, an integrative data-driven model of Caenorhabditis elegans, which consists of two submodels: the brain model and the body-environment model. The brain model was built by multicompartment models with realistic morphology, connectome and neural population dynamics based on experimental data. Simultaneously, the body-environment model used a lifelike body and a three-dimensional physical environment. Through the closed-loop interaction between the two submodels, BAAIWorm reproduced the realistic zigzag movement toward attractors observed in C. elegans. Leveraging this model, we investigated the impact of neural system structure on both neural activities and behaviors. Consequently, BAAIWorm can enhance our understanding of how the brain controls the body to interact with its surrounding environment.

Indexed as

BrainCaenorhabditis elegansConnectomeAnimalsBehavior, AnimalComputer SimulationEnvironmentModels, Neurological

Identifiers

PMID39681671
PMCPMC11659166

What OpenQuestion holds

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Read underepoch 390

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 OpenQuestion graph.