Electrodiffusion models of synaptic potentials in dendritic spines.


Journal

Journal of computational neuroscience
ISSN: 1573-6873
Titre abrégé: J Comput Neurosci
Pays: United States
ID NLM: 9439510

Informations de publication

Date de publication:
08 2019
Historique:
received: 05 04 2019
accepted: 01 08 2019
revised: 29 07 2019
pubmed: 15 8 2019
medline: 26 6 2020
entrez: 15 8 2019
Statut: ppublish

Résumé

The biophysical properties of dendritic spines play a critical role in neuronal integration but are still poorly understood, due to experimental difficulties in accessing them. Spine biophysics has been traditionally explored using theoretical models based on cable theory. However, cable theory generally assumes that concentration changes associated with ionic currents are negligible and, therefore, ignores electrodiffusion, i.e. the interaction between electric fields and ionic diffusion. This assumption, while true for large neuronal compartments, could be incorrect when applied to femto-liter size structures such as dendritic spines. To extend cable theory and explore electrodiffusion effects, we use here the Poisson (P) and Nernst-Planck (NP) equations, which relate electric field to charge and Fick's law of diffusion, to model ion concentration dynamics in spines receiving excitatory synaptic potentials (EPSPs). We use experimentally measured voltage transients from spines with nanoelectrodes to explore these dynamics with realistic parameters. We find that (i) passive diffusion and electrodiffusion jointly affect the dynamics of spine EPSPs; (ii) spine geometry plays a key role in shaping EPSPs; and, (iii) the spine-neck resistance dynamically decreases during EPSPs, leading to short-term synaptic facilitation. Our formulation, which complements and extends cable theory, can be easily adapted to model ionic biophysics in other nanoscale bio-compartments.

Identifiants

pubmed: 31410632
doi: 10.1007/s10827-019-00725-5
pii: 10.1007/s10827-019-00725-5
pmc: PMC7350286
mid: NIHMS1537033
doi:

Substances chimiques

Anions 0
Cations 0
Receptors, AMPA 0
Receptors, N-Methyl-D-Aspartate 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

77-89

Subventions

Organisme : NINDS NIH HHS
ID : R01NS110422
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH100561
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH101218
Pays : United States
Organisme : NIMH NIH HHS
ID : R01MH100561
Pays : United States
Organisme : NIMH NIH HHS
ID : R01MH101218
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS110422
Pays : United States

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Auteurs

Thibault Lagache (T)

Department of Biological Sciences, Columbia University, New York, NY, 10027, USA. thibault.lagache@pasteur.fr.
Neurotechnology Center, Columbia University, New York, NY, 10027, USA. thibault.lagache@pasteur.fr.
Kavli institute of Brain Science, Columbia University, New York, NY, 10027, USA. thibault.lagache@pasteur.fr.
BioImage Analysis Unit, Institut Pasteur, Paris, France. thibault.lagache@pasteur.fr.

Krishna Jayant (K)

Department of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Neurotechnology Center, Columbia University, New York, NY, 10027, USA.
Kavli institute of Brain Science, Columbia University, New York, NY, 10027, USA.
Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA.

Rafael Yuste (R)

Department of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Neurotechnology Center, Columbia University, New York, NY, 10027, USA.
Kavli institute of Brain Science, Columbia University, New York, NY, 10027, USA.

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