Evidence map›Paper›PMID 41390822›Full record

ArticleNature communications2025

Norepinephrine-mediated arousal fluctuations drive inverted U-shaped functional connectivity dynamics.

Chuanjun Tong, Weishuai Li, Yijuan Zou, Ying Xia, Mengchao Pei, Kaiwei Zhang, Yichao Luo, Zhifeng Liang

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 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. Article
  2. Article
  3. Article
  4. Spatiotemporally dynamic noradrenergic regulation of cortical networks.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. 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

8 authors.

Chuanjun Tong *Institute of Neuroscience, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China. tongcj@ion.ac.cn.ORCID http://orcid.org/0000-0003-0288-1537
Weishuai Li *Institute of Neuroscience, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Yijuan Zou *Changping Laboratory, Beijing, China.
Ying XiaInstitute of Neuroscience, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Mengchao PeiInstitute of Neuroscience, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Kaiwei ZhangInstitute of Neuroscience, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Yichao LuoInstitute of Neuroscience, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Zhifeng LiangInstitute of Neuroscience, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China. zliang@ion.ac.cn.ORCID http://orcid.org/0000-0003-2758-1194

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32322036National Natural Science Foundation of China (National Science Foundation of China) 82171899
6 · The paper itself

Abstract

Arousal states dynamically shape brain function and behavioral performance, as posited by the Yerkes-Dodson law. Yet, functional network substrates underlying this inverted U-shaped pattern remain unknown. Here, by integrating functional magnetic resonance imaging (fMRI) with simultaneous electroencephalography (EEG) across humans and awake mice, we found arousal modulated inverted U-shaped global functional connectivity (FC) dynamics, peaking at middle arousal level. Such inverted U-shaped FC exhibited significant correlation with arousal modulated behavioral performance, recapitulating the Yerkes-Dodson framework at the functional network level. Further combining invasive multimodal neural recording and manipulations of locus coeruleus-norepinephrine (LC-NE) neurons with awake mouse EEG-fMRI, we revealed the causal contribution of LC-NE system to arousal modulated FC dynamics, in which the inverted U-shaped pattern was dependent on the baseline arousal level. To summarize, we uncovered the functional network basis of the Yerkes-Dodson law, which was causally driven by the NE-mediated arousal fluctuations.

Indexed as

ArousalBrainNorepinephrineAdultAnimalsBrain MappingElectroencephalographyFemaleHumansLocus CoeruleusMagnetic Resonance ImagingMaleMiceMice, Inbred C57BLNerve NetNeuronsNorepinephrine

Identifiers

PMID41390822
PMCPMC12722237

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.