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Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events

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  • Zachariah M. Reagh

    (Washington University in St. Louis)

  • Charan Ranganath

    (University of California
    University of California)

Abstract

Although every life event is unique, there are considerable commonalities across events. However, little is known about whether or how the brain flexibly represents information about different event components at encoding and during remembering. Here, we show that different cortico-hippocampal networks systematically represent specific components of events depicted in videos, both during online experience and during episodic memory retrieval. Regions of an Anterior Temporal Network represented information about people, generalizing across contexts, whereas regions of a Posterior Medial Network represented context information, generalizing across people. Medial prefrontal cortex generalized across videos depicting the same event schema, whereas the hippocampus maintained event-specific representations. Similar effects were seen in real-time and recall, suggesting reuse of event components across overlapping episodic memories. These representational profiles together provide a computationally optimal strategy to scaffold memory for different high-level event components, allowing efficient reuse for event comprehension, recollection, and imagination.

Suggested Citation

  • Zachariah M. Reagh & Charan Ranganath, 2023. "Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36805-5
    DOI: 10.1038/s41467-023-36805-5
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    References listed on IDEAS

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    3. Zachariah M. Reagh & Angelique I. Delarazan & Alexander Garber & Charan Ranganath, 2020. "Aging alters neural activity at event boundaries in the hippocampus and Posterior Medial network," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    4. Arno Klein & Satrajit S Ghosh & Forrest S Bao & Joachim Giard & Yrjö Häme & Eliezer Stavsky & Noah Lee & Brian Rossa & Martin Reuter & Elias Chaibub Neto & Anisha Keshavan, 2017. "Mindboggling morphometry of human brains," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-40, February.
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    1. Daniel Pacheco-Estefan & Marie-Christin Fellner & Lukas Kunz & Hui Zhang & Peter Reinacher & Charlotte Roy & Armin Brandt & Andreas Schulze-Bonhage & Linglin Yang & Shuang Wang & Jing Liu & Gui Xue & , 2024. "Maintenance and transformation of representational formats during working memory prioritization," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

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