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Dendritic NMDA spikes are necessary for timing-dependent associative LTP in CA3 pyramidal cells

Overview of attention for article published in Nature Communications, November 2016
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Title
Dendritic NMDA spikes are necessary for timing-dependent associative LTP in CA3 pyramidal cells
Published in
Nature Communications, November 2016
DOI 10.1038/ncomms13480
Pubmed ID
Authors

Federico Brandalise, Stefano Carta, Fritjof Helmchen, John Lisman, Urs Gerber

Abstract

The computational repertoire of neurons is enhanced by regenerative electrical signals initiated in dendrites. These events, referred to as dendritic spikes, can act as cell-intrinsic amplifiers of synaptic input. Among these signals, dendritic NMDA spikes are of interest in light of their correlation with synaptic LTP induction. Because it is not possible to block NMDA spikes pharmacologically while maintaining NMDA receptors available to initiate synaptic plasticity, it remains unclear whether NMDA spikes alone can trigger LTP. Here we use dendritic recordings and calcium imaging to analyse the role of NMDA spikes in associative LTP in CA3 pyramidal cells. We show that NMDA spikes produce regenerative branch-specific calcium transients. Decreasing the probability of NMDA spikes reduces LTP, whereas increasing their probability enhances LTP. NMDA spikes and LTP occur without back-propagating action potentials. However, action potentials can facilitate LTP induction by promoting NMDA spikes. Thus, NMDA spikes are necessary and sufficient to produce the critical postsynaptic depolarization required for associative LTP in CA3 pyramidal cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 134 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 28%
Researcher 24 18%
Student > Master 12 9%
Student > Bachelor 12 9%
Professor 7 5%
Other 17 12%
Unknown 27 20%
Readers by discipline Count As %
Neuroscience 55 40%
Agricultural and Biological Sciences 31 23%
Computer Science 8 6%
Medicine and Dentistry 4 3%
Psychology 3 2%
Other 6 4%
Unknown 30 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 December 2016.
All research outputs
#18,483,671
of 22,903,988 outputs
Outputs from Nature Communications
#44,317
of 47,199 outputs
Outputs of similar age
#203,907
of 270,392 outputs
Outputs of similar age from Nature Communications
#806
of 867 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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