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Impact of Dendritic Size and Dendritic Topology on Burst Firing in Pyramidal Cells

Overview of attention for article published in PLoS Computational Biology, May 2010
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Mentioned by

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1 X user
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2 Wikipedia pages

Citations

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145 Dimensions

Readers on

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248 Mendeley
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2 CiteULike
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Title
Impact of Dendritic Size and Dendritic Topology on Burst Firing in Pyramidal Cells
Published in
PLoS Computational Biology, May 2010
DOI 10.1371/journal.pcbi.1000781
Pubmed ID
Authors

Ronald A. J. van Elburg, Arjen van Ooyen

Abstract

Neurons display a wide range of intrinsic firing patterns. A particularly relevant pattern for neuronal signaling and synaptic plasticity is burst firing, the generation of clusters of action potentials with short interspike intervals. Besides ion-channel composition, dendritic morphology appears to be an important factor modulating firing pattern. However, the underlying mechanisms are poorly understood, and the impact of morphology on burst firing remains insufficiently known. Dendritic morphology is not fixed but can undergo significant changes in many pathological conditions. Using computational models of neocortical pyramidal cells, we here show that not only the total length of the apical dendrite but also the topological structure of its branching pattern markedly influences inter- and intraburst spike intervals and even determines whether or not a cell exhibits burst firing. We found that there is only a range of dendritic sizes that supports burst firing, and that this range is modulated by dendritic topology. Either reducing or enlarging the dendritic tree, or merely modifying its topological structure without changing total dendritic length, can transform a cell's firing pattern from bursting to tonic firing. Interestingly, the results are largely independent of whether the cells are stimulated by current injection at the soma or by synapses distributed over the dendritic tree. By means of a novel measure called mean electrotonic path length, we show that the influence of dendritic morphology on burst firing is attributable to the effect both dendritic size and dendritic topology have, not on somatic input conductance, but on the average spatial extent of the dendritic tree and the spatiotemporal dynamics of the dendritic membrane potential. Our results suggest that alterations in size or topology of pyramidal cell morphology, such as observed in Alzheimer's disease, mental retardation, epilepsy, and chronic stress, could change neuronal burst firing and thus ultimately affect information processing and cognition.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 3%
United States 5 2%
Germany 2 <1%
France 2 <1%
Brazil 1 <1%
Israel 1 <1%
Switzerland 1 <1%
Denmark 1 <1%
Netherlands 1 <1%
Other 2 <1%
Unknown 225 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 26%
Researcher 47 19%
Student > Master 29 12%
Student > Bachelor 22 9%
Professor > Associate Professor 10 4%
Other 41 17%
Unknown 35 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 28%
Neuroscience 59 24%
Biochemistry, Genetics and Molecular Biology 15 6%
Medicine and Dentistry 11 4%
Physics and Astronomy 11 4%
Other 43 17%
Unknown 39 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 November 2013.
All research outputs
#7,513,657
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#5,051
of 9,043 outputs
Outputs of similar age
#33,989
of 104,740 outputs
Outputs of similar age from PLoS Computational Biology
#31
of 55 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 104,740 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.