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Resonance Analysis as a Tool for Characterizing Functional Division of Layer 5 Pyramidal Neurons

Overview of attention for article published in Frontiers in Computational Neuroscience, May 2018
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Title
Resonance Analysis as a Tool for Characterizing Functional Division of Layer 5 Pyramidal Neurons
Published in
Frontiers in Computational Neuroscience, May 2018
DOI 10.3389/fncom.2018.00029
Pubmed ID
Authors

Melvin A. Felton, Alfred B. Yu, David L. Boothe, Kelvin S. Oie, Piotr J. Franaszczuk

Abstract

Evidence suggests that layer 5 pyramidal neurons can be divided into functional zones with unique afferent connectivity and membrane characteristics that allow for post-synaptic integration of feedforward and feedback inputs. To assess the existence of these zones and their interaction, we characterized the resonance properties of a biophysically-realistic compartmental model of a neocortical layer 5 pyramidal neuron. Consistent with recently published theoretical and empirical findings, our model was configured to have a "hot zone" in distal apical dendrite and apical tuft where both high- and low-threshold Ca2+ ionic conductances had densities 1-2 orders of magnitude higher than anywhere else in the apical dendrite. We simulated injection of broad spectrum sinusoidal currents with linearly increasing frequency to calculate the input impedance of individual compartments, the transfer impedance between the soma and key compartments within the dendritic tree, and a dimensionless term we introduce called resonance quality. We show that input resonance analysis distinguished at least four distinct zones within the model based on properties of their frequency preferences: basal dendrite which displayed little resonance; soma/proximal apical dendrite which displayed resonance at 5-23 Hz, strongest at 5-10 Hz and hyperpolarized/resting membrane potentials; distal apical dendrite which displayed resonance at 8-19 Hz, strongest at 10 Hz and depolarized membrane potentials; and apical tuft which displayed a weak resonance largely between 8 and 10 Hz across a wide range of membrane potentials. Transfer resonance analysis revealed that changes in subthreshold electrical coupling were found to modulate the transfer resonant frequency of signals transmitted from distal apical dendrite and apical tuft to the soma, which would impact the frequencies that individual neurons are expected to respond to and reinforce. Furthermore, eliminating the hot zone was found to reduce amplification of resonance within the model, which contributes to reduced excitability when perisomatic and distal apical regions receive coincident stimulating current injections. These results indicate that the interactions between different functional zones should be considered in a more complete understanding of neuronal integration. Resonance analysis may therefore be a useful tool for assessing the integration of inputs across the entire neuronal membrane.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Other 2 14%
Professor > Associate Professor 2 14%
Professor 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Neuroscience 6 43%
Agricultural and Biological Sciences 1 7%
Social Sciences 1 7%
Computer Science 1 7%
Chemistry 1 7%
Other 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 May 2018.
All research outputs
#13,592,375
of 23,043,346 outputs
Outputs from Frontiers in Computational Neuroscience
#575
of 1,355 outputs
Outputs of similar age
#169,056
of 326,453 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#22
of 33 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,355 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 326,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.