IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-59355-4.html
   My bibliography  Save this article

Insight predicts subsequent memory via cortical representational change and hippocampal activity

Author

Listed:
  • Maxi Becker

    (Department of Psychology
    Center for Cognitive Neuroscience)

  • Tobias Sommer

    (Institute of Systems Neuroscience)

  • Roberto Cabeza

    (Department of Psychology
    Center for Cognitive Neuroscience)

Abstract

The neural mechanisms driving creative problem-solving, including representational change and its relation to memory, still remain largely unknown. We focus on the creative process of insight, wherein rapid knowledge reorganization and integration—termed representational change—yield solutions that evoke suddenness, certainty, positive emotion, and enduring memory. We posit that this process is associated with stronger shifts in activation patterns within brain regions housing solution-relevant information, including the visual cortex for visual problems, alongside regions linked to feelings of emotion, suddenness and subsequent memory. To test this, we collect participants’ brain activity while they solve visual insight problems in the MRI. Our findings substantiate these hypotheses, revealing stronger representational changes in visual cortex, coupled with activations in the amygdala and hippocampus—forming an interconnected network. Importantly, representational change and hippocampal effects are positively associated with subsequent memory. This study provides evidence of an integrated insight mechanism influencing memory.

Suggested Citation

  • Maxi Becker & Tobias Sommer & Roberto Cabeza, 2025. "Insight predicts subsequent memory via cortical representational change and hippocampal activity," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59355-4
    DOI: 10.1038/s41467-025-59355-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-59355-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-59355-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Oded Bein & Katherine Duncan & Lila Davachi, 2020. "Publisher Correction: Mnemonic prediction errors bias hippocampal states," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    2. Oded Bein & Katherine Duncan & Lila Davachi, 2020. "Mnemonic prediction errors bias hippocampal states," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    3. Jeanette A Mumford & Jean-Baptiste Poline & Russell A Poldrack, 2015. "Orthogonalization of Regressors in fMRI Models," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-11, April.
    4. Patricia H. Janak & Kay M. Tye, 2015. "From circuits to behaviour in the amygdala," Nature, Nature, vol. 517(7534), pages 284-292, January.
    5. Oliver E. Lee & Thomas M. Braun, 2012. "Permutation Tests for Random Effects in Linear Mixed Models," Biometrics, The International Biometric Society, vol. 68(2), pages 486-493, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fraser Aitken & Peter Kok, 2022. "Hippocampal representations switch from errors to predictions during acquisition of predictive associations," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. James W. Antony & Jacob Dam & Jarett R. Massey & Alexander J. Barnett & Kelly A. Bennion, 2023. "Long-term, multi-event surprise correlates with enhanced autobiographical memory," Nature Human Behaviour, Nature, vol. 7(12), pages 2152-2168, December.
    3. Fabian Grabenhorst & Raymundo Báez-Mendoza, 2025. "Dynamic coding and sequential integration of multiple reward attributes by primate amygdala neurons," Nature Communications, Nature, vol. 16(1), pages 1-21, December.
    4. Stefano Bonnini & Michela Borghesi, 2022. "Relationship between Mental Health and Socio-Economic, Demographic and Environmental Factors in the COVID-19 Lockdown Period—A Multivariate Regression Analysis," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
    5. Zhenzhen Zhang & Thomas M. Braun & Karen E. Peterson & Howard Hu & Martha M. Téllez-Rojo & Brisa N. Sánchez, 2018. "Extending Tests of Random Effects to Assess for Measurement Invariance in Factor Models," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(3), pages 634-650, December.
    6. Xiaoyi Wang & Shangyu Bi & Ziteng Yue & Xinxin Chen & Yuhang Liu & Tianjiao Deng & Liuqi Shao & Xinyi Jing & Cuidie Wang & Yakun Wang & Wei He & Hongxiao Yu & Luo Shi & Fang Yuan & Sheng Wang, 2025. "GABAergic neurons in central amygdala contribute to orchestrating anxiety-like behaviors and breathing patterns," Nature Communications, Nature, vol. 16(1), pages 1-23, December.
    7. Huiling Yu & Liping Chen & Huiyang Lei & Guilin Pi & Rui Xiong & Tao Jiang & Dongqin Wu & Fei Sun & Yang Gao & Yuanhao Li & Wenju Peng & Bingyu Huang & Guoda Song & Xin Wang & Jingru Lv & Zetao Jin & , 2022. "Infralimbic medial prefrontal cortex signalling to calbindin 1 positive neurons in posterior basolateral amygdala suppresses anxiety- and depression-like behaviours," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    8. Shailaja Akella & Peter Ledochowitsch & Joshua H. Siegle & Hannah Belski & Daniel D. Denman & Michael A. Buice & Severine Durand & Christof Koch & Shawn R. Olsen & Xiaoxuan Jia, 2025. "Deciphering neuronal variability across states reveals dynamic sensory encoding," Nature Communications, Nature, vol. 16(1), pages 1-22, December.
    9. Bonnini, S. & Borghesi, M. & Giacalone, M., 2024. "Semi-parametric approach for modelling overdispersed count data with application to Industry 4.0," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    10. Ren-Wen Han & Zi-Yi Zhang & Chen Jiao & Ze-Yu Hu & Bing-Xing Pan, 2024. "Synergism between two BLA-to-BNST pathways for appropriate expression of anxiety-like behaviors in male mice," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    11. Stefano Bonnini & Getnet Melak Assegie & Kamila Trzcinska, 2024. "Review about the Permutation Approach in Hypothesis Testing," Mathematics, MDPI, vol. 12(17), pages 1-29, August.
    12. Mariusz Mucha & Anna E. Skrzypiec & Jaison B. Kolenchery & Valentina Brambilla & Satyam Patel & Alberto Labrador-Ramos & Lucja Kudla & Kathryn Murrall & Nathan Skene & Violetta Dymicka-Piekarska & Aga, 2023. "miR-483-5p offsets functional and behavioural effects of stress in male mice through synapse-targeted repression of Pgap2 in the basolateral amygdala," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    13. Feng Zhou & Weihua Zhao & Ziyu Qi & Yayuan Geng & Shuxia Yao & Keith M. Kendrick & Tor D. Wager & Benjamin Becker, 2021. "A distributed fMRI-based signature for the subjective experience of fear," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    14. Laurens Winkelmeier & Carla Filosa & Renée Hartig & Max Scheller & Markus Sack & Jonathan R. Reinwald & Robert Becker & David Wolf & Martin Fungisai Gerchen & Alexander Sartorius & Andreas Meyer-Linde, 2022. "Striatal hub of dynamic and stabilized prediction coding in forebrain networks for olfactory reinforcement learning," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    15. Yahia S. El-Horbaty & Eman M. Hanafy, 2024. "A Monte Carlo permutation procedure for testing variance components using robust estimation methods," Statistical Papers, Springer, vol. 65(1), pages 335-356, February.
    16. Jaron T Colas & Wolfgang M Pauli & Tobias Larsen & J Michael Tyszka & John P O’Doherty, 2017. "Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-32, October.
    17. Nir Moneta & Mona M. Garvert & Hauke R. Heekeren & Nicolas W. Schuck, 2023. "Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    18. Dheeraj S. Roy & Young-Gyun Park & Minyoung E. Kim & Ying Zhang & Sachie K. Ogawa & Nicholas DiNapoli & Xinyi Gu & Jae H. Cho & Heejin Choi & Lee Kamentsky & Jared Martin & Olivia Mosto & Tomomi Aida , 2022. "Brain-wide mapping reveals that engrams for a single memory are distributed across multiple brain regions," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    19. In Bum Lee & Eugene Lee & Na-Eun Han & Marko Slavuj & Jeong Wook Hwang & Ahrim Lee & Taeyoung Sun & Yehwan Jeong & Ja-Hyun Baik & Jae-Yong Park & Se-Young Choi & Jeehyun Kwag & Bong-June Yoon, 2024. "Persistent enhancement of basolateral amygdala-dorsomedial striatum synapses causes compulsive-like behaviors in mice," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    20. repec:plo:pbio00:2005722 is not listed on IDEAS
    21. Jakob Peterlin & Nataša Kejžar & Rok Blagus, 2023. "Correct specification of design matrices in linear mixed effects models: tests with graphical representation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 184-210, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59355-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.