CA3 hippocampal synaptic plasticity supports ripple physiology during memory consolidation.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
14 Dec 2023
Historique:
received: 05 04 2023
accepted: 25 10 2023
medline: 15 12 2023
pubmed: 15 12 2023
entrez: 14 12 2023
Statut: epublish

Résumé

The consolidation of recent memories depends on memory replays, also called ripples, generated within the hippocampus during slow-wave sleep, and whose inactivation leads to memory impairment. For now, the mobilisation, localisation and importance of synaptic plasticity events associated to ripples are largely unknown. To tackle this question, we used cell surface AMPAR immobilisation to block post-synaptic LTP within the hippocampal region of male mice during a spatial memory task, and show that: 1- hippocampal synaptic plasticity is engaged during consolidation, but is dispensable during encoding or retrieval. 2- Plasticity blockade during sleep results in apparent forgetting of the encoded rule. 3- In vivo ripple recordings show a strong effect of AMPAR immobilisation when a rule has been recently encoded. 4- In situ investigation suggests that plasticity at CA3-CA3 recurrent synapses supports ripple generation. We thus propose that post-synaptic AMPAR mobility at CA3 recurrent synapses is necessary for ripple-dependent rule consolidation.

Identifiants

pubmed: 38097535
doi: 10.1038/s41467-023-42969-x
pii: 10.1038/s41467-023-42969-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8312

Informations de copyright

© 2023. The Author(s).

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Auteurs

Hajer El Oussini (H)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Chun-Lei Zhang (CL)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.
Sorbonne Université, CNRS, INSERM, Institut de Biologie Paris Seine (IBPS), Neurosciences Paris Seine (NPS), Team Synaptic Plasticity and Neural Networks, F-75005, Paris, France.

Urielle François (U)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Cecilia Castelli (C)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Aurélie Lampin-Saint-Amaux (A)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Marilyn Lepleux (M)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Pablo Molle (P)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Legeolas Velez (L)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Cyril Dejean (C)

University of Bordeaux, INSERM, Neurocentre Magendie, U1215, F-33000, Bordeaux, France.

Frederic Lanore (F)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Cyril Herry (C)

University of Bordeaux, INSERM, Neurocentre Magendie, U1215, F-33000, Bordeaux, France.

Daniel Choquet (D)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France.

Yann Humeau (Y)

University of Bordeaux, CNRS, IINS, UMR 5297, F-33000, Bordeaux, France. yann.humeau@u-bordeaux.fr.

Classifications MeSH