Evidence map›Paper›PMID 41844642›Full record

ArticleNature communications2026

A shared speed encoding model for running and backing away behaviours in segregated neural circuits.

Jiajia Chen, He Li, Na Lian, Linhui Yao, Yumei Huang, Peiran Yin, Ziyi Xu, Yingying Zeng, Jinhua Liu, Mingyu Fu and 5 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. 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

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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

15 authors.

Jiajia Chen *Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0009-0002-2003-6652
He Li *Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0009-0005-4345-0161
Na LianDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Linhui YaoDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Yumei HuangDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Peiran YinSchool of Traditional Chinese Medicine, Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Southern Medical University, Guangzhou, Guangdong, China.
Ziyi XuDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Yingying ZengSchool of Traditional Chinese Medicine, Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Southern Medical University, Guangzhou, Guangdong, China.
Jinhua LiuThe Seventh Affiliated Hospital, Southern Medical University, Foshan, Guangdong, China.
Mingyu FuDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Xiaoxia QinThe Seventh Affiliated Hospital, Southern Medical University, Foshan, Guangdong, China.
Xuying JiDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Jie TanSchool of Traditional Chinese Medicine, Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Southern Medical University, Guangzhou, Guangdong, China.
Zhongju XiaoDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China. xiaozj@smu.edu.cn.ORCID http://orcid.org/0000-0001-6275-7250
Wen ZhongSchool of Traditional Chinese Medicine, Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Southern Medical University, Guangzhou, Guangdong, China. zhong1981@smu.edu.cn.ORCID http://orcid.org/0009-0005-0212-890X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32371044 and 32371044
6 · The paper itself

Abstract

How neuronal firing within a circuit encodes behavioural intensity, like running speed, is largely unknown. Projections from temporal association cortex (TeA) and superior colliculus (SC) to dorsal periaqueductal grey (dPAG) circuit can both trigger running behaviour. Using in vivo loose-patch recordings with circuit manipulations in mice, we quantified a firing - speed relationship and established its encoding model. Here, we report two behavioural patterns induced by circuit activation: backing away and rebound running. Mechanistically, dPAG CaMKIIα neurons receiving inputs from either TeA or SC, function as distinct "behavioural units", controlling two "unit behaviours" of running and backing away, respectively. The unidirectional inhibition from the backing away unit to the running unit is mediated by somatostatin (SOM) neurons in dPAG, enabling transitions among four behavioural states: running, backing away, stopping, and rebound running. Both running and backing away behaviours follow a unified motor encoding model, quantified by a single-phase association equation.

Indexed as

Models, NeurologicalNerve NetNeuronsPeriaqueductal GrayRunningSuperior ColliculiAction PotentialsAnimalsBehavior, AnimalCalcium-Calmodulin-Dependent Protein Kinase Type 2MaleMiceNeural PathwaysSomatostatinCalcium-Calmodulin-Dependent Protein Kinase Type 2Somatostatin

Identifiers

PMID41844642
PMCPMC13149553

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.