Evidence map›Paper›PMID 39809882›Full record

ArticleCommunications biology2025

Dynamic switching between brain networks predicts creative ability.

Qunlin Chen, Yoed N Kenett, Zaixu Cui, Hikaru Takeuchi, Andreas Fink, Mathias Benedek, Daniel C Zeitlen, Kaixiang Zhuang, James Lloyd-Cox, Ryuta Kawashima and 2 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Lower engagement of cognitive control in children on ChatGPT.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Accelerated DMN-Targeted cTBS Improves Processing Speed Deficits in Schizophrenia.medRxiv : the preprint server for health sciences · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Artificial Creativity: from predictive AI to Generative System 3.Frontiers in artificial intelligence · 2025
    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

12 authors.

Qunlin Chen *Faculty of Psychology, Southwest University, Chongqing, China.ORCID http://orcid.org/0000-0002-7396-1297
Yoed N Kenett *Faculty of Data and Decision Sciences, Technion-Israel Institute of Technology, Haifa, Israel. yoedk@technion.ac.il.ORCID http://orcid.org/0000-0003-3872-7689
Zaixu CuiChinese Institute for Brain Research, Beijing, China.ORCID http://orcid.org/0000-0003-4385-8106
Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.ORCID http://orcid.org/0000-0002-8022-9694
Andreas FinkDepartment of Psychology, University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0001-7316-3140
Mathias BenedekDepartment of Psychology, University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0001-6258-4476
Daniel C ZeitlenDepartment of Psychology, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID http://orcid.org/0000-0003-3585-7699
Kaixiang ZhuangIInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-9087-6521
James Lloyd-CoxDepartment of Psychology, Goldsmiths, University of London, London, UK.
Ryuta KawashimaDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.ORCID http://orcid.org/0000-0002-6132-3861
Jiang QiuFaculty of Psychology, Southwest University, Chongqing, China. qiuj318@swu.edu.cn.ORCID http://orcid.org/0000-0003-0269-5910
Roger E BeatyDepartment of Psychology, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID http://orcid.org/0000-0001-6114-5973

Funding

United States-Israel Binational Science Foundation (BSF) 2021040
6 · The paper itself

Abstract

Creativity is hypothesized to arise from a mental state which balances spontaneous thought and cognitive control, corresponding to functional connectivity between the brain's Default Mode (DMN) and Executive Control (ECN) Networks. Here, we conduct a large-scale, multi-center examination of this hypothesis. Employing a meta-analytic network neuroscience approach, we analyze resting-state fMRI and creative task performance across 10 independent samples from Austria, Canada, China, Japan, and the United States (N = 2433)-constituting the largest and most ethnically diverse creativity neuroscience study to date. Using time-resolved network analysis, we investigate the relationship between creativity (i.e., divergent thinking ability) and dynamic switching between DMN and ECN. We find that creativity, but not general intelligence, can be reliably predicted by the number of DMN-ECN switches. Importantly, we identify an inverted-U relationship between creativity and the degree of balance between DMN-ECN switching, suggesting that optimal creative performance requires balanced brain network dynamics. Furthermore, an independent task-fMRI validation study (N = 31) demonstrates higher DMN-ECN switching during creative idea generation (compared to a control condition) and replicates the inverted-U relationship. Therefore, we provide robust evidence across multi-center datasets that creativity is tied to the capacity to dynamically switch between brain networks supporting spontaneous and controlled cognition.

Indexed as

BrainCreativityDefault Mode NetworkNerve NetAdultBrain MappingExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID39809882
PMCPMC11733278

What OpenQuestion 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 OpenQuestion graph.