IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38046-y.html
   My bibliography  Save this article

Cross-stage neural pattern similarity in the hippocampus predicts false memory derived from post-event inaccurate information

Author

Listed:
  • Xuhao Shao

    (Beijing Normal University
    Beijing Normal University
    Beijing Normal University
    Beijing Normal University)

  • Ao Li

    (Beijing Normal University)

  • Chuansheng Chen

    (University of California)

  • Elizabeth F. Loftus

    (University of California)

  • Bi Zhu

    (Beijing Normal University
    Beijing Normal University
    Beijing Normal University
    Beijing Normal University)

Abstract

The misinformation effect occurs when people’s memory of an event is altered by subsequent inaccurate information. No study has systematically tested theories about the dynamics of human hippocampal representations during the three stages of misinformation-induced false memory. This study replicates behavioral results of the misinformation effect, and investigates the cross-stage pattern similarity in the hippocampus and cortex using functional magnetic resonance imaging. Results show item-specific hippocampal pattern similarity between original-event and post-event stages. During the memory-test stage, hippocampal representations of original information are weakened for true memory, whereas hippocampal representations of misinformation compete with original information to create false memory. When false memory occurs, this conflict is resolved by the lateral prefrontal cortex. Individuals’ memory traces of post-event information in the hippocampus predict false memory, whereas original information in the lateral parietal cortex predicts true memory. These findings support the multiple-trace model, and emphasize the reconstructive nature of human memory.

Suggested Citation

  • Xuhao Shao & Ao Li & Chuansheng Chen & Elizabeth F. Loftus & Bi Zhu, 2023. "Cross-stage neural pattern similarity in the hippocampus predicts false memory derived from post-event inaccurate information," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38046-y
    DOI: 10.1038/s41467-023-38046-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38046-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-38046-y?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. Dietram A. Scheufele & Nicole M. Krause, 2019. "Science audiences, misinformation, and fake news," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(16), pages 7662-7669, April.
    2. Gordon Pennycook & Ziv Epstein & Mohsen Mosleh & Antonio A. Arechar & Dean Eckles & David G. Rand, 2021. "Shifting attention to accuracy can reduce misinformation online," Nature, Nature, vol. 592(7855), pages 590-595, April.
    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. Jiexun Li & Xiaohui Chang, 2023. "Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media," Information Systems Frontiers, Springer, vol. 25(4), pages 1479-1493, August.
    2. Nicolás Ajzenman & Bruno Ferman & Sant’Anna Pedro C., 2023. "Discrimination in the Formation of Academic Networks: A Field Experiment on #EconTwitter," Working Papers 235, Red Nacional de Investigadores en Economía (RedNIE).
    3. Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023. "Misinformation due to asymmetric information sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    4. Carlos Carrasco-Farré, 2022. "The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-18, December.
    5. Joseph B. Bak-Coleman & Ian Kennedy & Morgan Wack & Andrew Beers & Joseph S. Schafer & Emma S. Spiro & Kate Starbird & Jevin D. West, 2022. "Combining interventions to reduce the spread of viral misinformation," Nature Human Behaviour, Nature, vol. 6(10), pages 1372-1380, October.
    6. James N. Druckman, 2022. "Threats to Science: Politicization, Misinformation, and Inequalities," The ANNALS of the American Academy of Political and Social Science, , vol. 700(1), pages 8-24, March.
    7. John M. Carey & Andrew M. Guess & Peter J. Loewen & Eric Merkley & Brendan Nyhan & Joseph B. Phillips & Jason Reifler, 2022. "The ephemeral effects of fact-checks on COVID-19 misperceptions in the United States, Great Britain and Canada," Nature Human Behaviour, Nature, vol. 6(2), pages 236-243, February.
    8. Krishna Dasaratha & Kevin He, 2022. "Learning from Viral Content," Papers 2210.01267, arXiv.org, revised Aug 2023.
    9. Philipp Lorenz-Spreen & Stephan Lewandowsky & Cass R. Sunstein & Ralph Hertwig, 2020. "How behavioural sciences can promote truth, autonomy and democratic discourse online," Nature Human Behaviour, Nature, vol. 4(11), pages 1102-1109, November.
    10. Huiru Cao & Xiaomin Li & Yanfeng Lin & Songyao Lian, 2022. "Hybrid Fake Information Containing Strategy Exploiting Multi-Dimensions Data in Online Community," Mathematics, MDPI, vol. 10(18), pages 1-13, September.
    11. Danielle Caled & Mário J. Silva, 2022. "Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation," Journal of Computational Social Science, Springer, vol. 5(1), pages 123-159, May.
    12. Abayomi Samuel Oyekale, 2021. "Willingness to Take COVID-19 Vaccines in Ethiopia: An Instrumental Variable Probit Approach," IJERPH, MDPI, vol. 18(17), pages 1-11, August.
    13. Folco Panizza & Piero Ronzani & Tiffany Morisseau & Simone Mattavelli & Carlo Martini, 2023. "How do online users respond to crowdsourced fact-checking?," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    14. Lara Marie Berger & Anna Kerkhof & Felix Mindl & Johannes Münster, 2023. "Debunking “Fake News” on Social Media: Short-Term and Longer-Term Effects of Fact Checking and Media Literacy Interventions," CESifo Working Paper Series 10576, CESifo.
    15. Juana Farfán & María Elena Mazo, 2021. "Disinformation and Responsibility in Young People in Spain during the COVID-19 Era," Publications, MDPI, vol. 9(3), pages 1-8, August.
    16. Niels G. Mede, 2022. "Legacy media as inhibitors and drivers of public reservations against science: global survey evidence on the link between media use and anti-science attitudes," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    17. Gonzalo Cisternas & Jorge Vásquez, 2022. "Misinformation in Social Media: The Role of Verification Incentives," Staff Reports 1028, Federal Reserve Bank of New York.
    18. Jonathon P. Schuldt & Adam R. Pearson & Neil A. Lewis jr. & Ashley Jardina & Peter K. Enns, 2022. "Inequality and Misperceptions of Group Concerns Threaten the Integrity and Societal Impact of Science," The ANNALS of the American Academy of Political and Social Science, , vol. 700(1), pages 195-207, March.
    19. Lee, Edmund W.J. & Bao, Huanyu & Wang, Yixi & Lim, Yi Torng, 2023. "From pandemic to Plandemic: Examining the amplification and attenuation of COVID-19 misinformation on social media," Social Science & Medicine, Elsevier, vol. 328(C).
    20. Mohamed Mostagir & James Siderius, 2022. "Learning in a Post-Truth World," Management Science, INFORMS, vol. 68(4), pages 2860-2868, April.

    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:14:y:2023:i:1:d:10.1038_s41467-023-38046-y. 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.