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Cell-type–specific inhibition of the dendritic plateau potential in striatal spiny projection neurons
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2017 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 114, no 36, p. E7612-E7621Article in journal (Refereed) Published
Abstract [en]

Striatal spiny projection neurons (SPNs) receive convergent excitatory synaptic inputs from the cortex and thalamus. Activation of spatially clustered and temporally synchronized excitatory inputs at the distal dendrites could trigger plateau potentials in SPNs. Such supralinear synaptic integration is crucial for dendritic computation. However, how plateau potentials interact with subsequent excitatory and inhibitory synaptic inputs remains unknown. By combining computational simulation, two-photon imaging, optogenetics, and dual-color uncaging of glutamate and GABA, we demonstrate that plateau potentials can broaden the spatiotemporal window for integrating excitatory inputs and promote spiking. The temporal window of spiking can be delicately controlled by GABAergic inhibition in a cell-type–specific manner. This subtle inhibitory control of plateau potential depends on the location and kinetics of the GABAergic inputs and is achieved by the balance between relief and reestablishment of NMDA receptor Mg2+ block. These findings represent a mechanism for controlling spatiotemporal synaptic integration in SPNs.

Place, publisher, year, edition, pages
National Academy of Sciences , 2017. Vol. 114, no 36, p. E7612-E7621
Keywords [en]
Dendritic computation, Inhibition, Plateau potential, Striatum, Synaptic integration, 4 aminobutyric acid, glutamic acid, magnesium ion, n methyl dextro aspartic acid receptor, adult, animal cell, animal tissue, Article, cell specificity, cell synchronization, dendrite, female, GABAergic system, male, mouse, nerve cell, nerve cell excitability, nonhuman, optogenetics, priority journal, simulation, spike, striatal spiny projection neuron, synaptic transmission
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:kth:diva-218816DOI: 10.1073/pnas.1704893114Scopus ID: 2-s2.0-85029221172OAI: oai:DiVA.org:kth-218816DiVA, id: diva2:1174949
Note

QC 20180117

Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-03-07Bibliographically approved

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Hellgren Kotaleski, Jeanette

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Science for Life Laboratory, SciLifeLabSchool of Computer Science and Communication (CSC)
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