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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
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    References listed on IDEAS

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    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.
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