Evidence map›Paper›PMID 42270596›Full record

ArticleNature communications2026

Cortical reinstatement of causally related events sparks narrative insights by updating neural representation patterns.

Hayoung Song, Jin Ke, Rhea Madhogarhia, Yuan Chang Leong, Monica D Rosenberg

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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Narrative "twist" shifts within-individual neural representations of dissociable story features.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. 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

5 authors.

Hayoung SongDepartment of Psychology, University of Chicago, Chicago, IL, USA. omasong17@gmail.com.ORCID 0000-0002-5970-8076
Jin KeDepartment of Psychology, University of Chicago, Chicago, IL, USA.ORCID 0000-0002-5265-3105
Rhea MadhogarhiaDepartment of Psychology, University of Chicago, Chicago, IL, USA.ORCID 0009-0008-8064-1858
Yuan Chang LeongDepartment of Psychology, University of Chicago, Chicago, IL, USA.ORCID 0000-0003-2499-2393
Monica D RosenbergDepartment of Psychology, University of Chicago, Chicago, IL, USA. mdrosenberg@uchicago.edu.ORCID 0000-0001-6179-4025

Funding

National Science Foundation (NSF) BCS-2043740
6 · The paper itself

Abstract

We make sense of everyday events by reasoning about their underlying causes. When we connect causal links between events separated in time, we often experience a sudden feeling of "aha!", or insight. To understand its cognitive and neural mechanisms, we designed an fMRI study in which participants watched a temporally scrambled TV episode. Participants pressed an "aha" button whenever they understood something new and explained their reasoning. More than 40% of insight explanations reference past events causally related to the current event. Neural patterns representing these causally related past events are reinstated across the cortex. This neural reinstatement drives sudden shifts in cortical activity patterns ~2 s prior to aha button presses, reflecting updates in situational representation. Moreover, distributed brain areas represent causally related events with similar neural patterns, beyond shared semantic or perceptual features. Together, the study suggests that we comprehend events by retrieving causally related past events, followed by updating neural patterns at moments of insight.

Indexed as

BrainCerebral CortexComprehensionAdultBrain MappingCognitionFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID42270596
PMCPMC13402326

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LicenceCC BY-NC-ND
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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.