Recurrent connections between CA2 pyramidal cells.


Journal

Hippocampus
ISSN: 1098-1063
Titre abrégé: Hippocampus
Pays: United States
ID NLM: 9108167

Informations de publication

Date de publication:
04 2019
Historique:
received: 13 05 2018
revised: 27 10 2018
accepted: 26 11 2018
pubmed: 28 12 2018
medline: 20 5 2020
entrez: 28 12 2018
Statut: ppublish

Résumé

Recurrent excitatory synapses have theoretically been shown to play roles in memory storage and associative learning and are well described to occur in the CA3 region of the hippocampus. Here, we report that the CA2 region also contains recurrent excitatory monosynaptic couplings. Using dual whole-cell patch-clamp recordings from CA2 pyramidal cells in mouse hippocampal slices under differential interference contrast microscopic controls, we evaluated monosynaptic excitatory connections. Unitary excitatory postsynaptic potentials occurred in 1.4% of 502 cell pairs. These connected pairs were preferentially located in the superficial layer and proximal part (CA2b) of the CA2 region. These results indicate that recurrent excitatory circuits are denser in the CA2 region than in the CA1 region, as well as in the CA3 region.

Identifiants

pubmed: 30588702
doi: 10.1002/hipo.23064
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

305-312

Subventions

Organisme : International Research Center for Neurointelligence (WPI-IRCN)
Pays : International
Organisme : Human Frontier Science Program
ID : RGP0019/2016
Pays : International
Organisme : Grants-in-Aid for Scientific Research
ID : 17K19441
Pays : International
Organisme : Grants-in-Aid for Scientific Research
ID : 18H05114
Pays : International

Informations de copyright

© 2018 Wiley Periodicals, Inc.

Auteurs

Kazuki Okamoto (K)

Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.

Yuji Ikegaya (Y)

Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan.

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Classifications MeSH