Journal article
Hippocampal ripple diversity organizes neuronal reactivation dynamics in the offline brain
- Abstract:
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Hippocampal ripples are highly synchronized neuronal population patterns reactivating past waking experiences in the offline brain. Whether the level, structure, and content of ripple-nested activity are consistent across consecutive events or are tuned in each event remains unclear. By profiling individual ripples using laminar currents in the mouse hippocampus during sleep/rest, we identified Radsink and LMsink ripples featuring current sinks in stratum radiatum versus stratumlacunosum-moleculare, respectively. These two ripple profiles recruit neurons differently. Radsink ripples integrate recent motifs of waking coactivity, combining superficial and deep CA1 principal cells into denser, higher-dimensional patterns that undergo hour-long stable reactivation. In contrast, LMsink ripples contain core motifs of prior coactivity, engaging deep cells in sparser, lower-dimensional patterns that undergo a reactivation drift to gradually update their pre-existing content for recent wakefulness. We propose that ripple-by-ripple diversity supports parallel reactivation channels for integrating recent wakefulness while updating prior representations.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 10.7MB, Terms of use)
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(Preview, Supplementary materials, pdf, 3.6MB, Terms of use)
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- Publisher copy:
- 10.1016/j.neuron.2025.09.012
Authors
- Funder identifier:
- https://ror.org/00cwqg982
- Grant:
- BB/S007741/1
- Publisher:
- Cell Press
- Journal:
- Neuron More from this journal
- Volume:
- 113
- Issue:
- 24
- Pages:
- 4245-4262.e17
- Publication date:
- 2025-10-02
- Acceptance date:
- 2025-09-11
- DOI:
- EISSN:
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1097-4199
- ISSN:
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0896-6273
- Language:
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English
- Keywords:
- Pubs id:
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2287707
- Local pid:
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pubs:2287707
- Source identifiers:
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W4414825126
- Deposit date:
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2025-09-12
- ARK identifier:
Terms of use
- Copyright holder:
- Castelli et al.
- Copyright date:
- 2025
- Rights statement:
- © 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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