Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.

We modeled spine distribution along the dendritic networks of pyramidal neurons in both basal and apical dendrites. To do this, we applied network spatial analysis because spines can only lie on the dendritic shaft. We expanded the existing 2D computational techniques for spatial analysis along netw...

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Main Authors: Laura Anton-Sanchez, Pedro Larrañaga, Ruth Benavides-Piccione, Isabel Fernaud-Espinosa, Javier DeFelipe, Concha Bielza
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5491215?pdf=render
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author Laura Anton-Sanchez
Pedro Larrañaga
Ruth Benavides-Piccione
Isabel Fernaud-Espinosa
Javier DeFelipe
Concha Bielza
author_facet Laura Anton-Sanchez
Pedro Larrañaga
Ruth Benavides-Piccione
Isabel Fernaud-Espinosa
Javier DeFelipe
Concha Bielza
author_sort Laura Anton-Sanchez
collection DOAJ
description We modeled spine distribution along the dendritic networks of pyramidal neurons in both basal and apical dendrites. To do this, we applied network spatial analysis because spines can only lie on the dendritic shaft. We expanded the existing 2D computational techniques for spatial analysis along networks to perform a 3D network spatial analysis. We analyzed five detailed reconstructions of adult human pyramidal neurons of the temporal cortex with a total of more than 32,000 spines. We confirmed that there is a spatial variation in spine density that is dependent on the distance to the cell body in all dendrites. Considering the dendritic arborizations of each pyramidal cell as a group of instances of the same observation (the neuron), we used replicated point patterns together with network spatial analysis for the first time to search for significant differences in the spine distribution of basal dendrites between different cells and between all the basal and apical dendrites. To do this, we used a recent variant of Ripley's K function defined to work along networks. The results showed that there were no significant differences in spine distribution along basal arbors of the same neuron and along basal arbors of different pyramidal neurons. This suggests that dendritic spine distribution in basal dendritic arbors adheres to common rules. However, we did find significant differences in spine distribution along basal versus apical networks. Therefore, not only do apical and basal dendritic arborizations have distinct morphologies but they also obey different rules of spine distribution. Specifically, the results suggested that spines are more clustered along apical than in basal dendrites. Collectively, the results further highlighted that synaptic input information processing is different between these two dendritic domains.
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spelling doaj.art-f5a4a805e8c14037974a6406791ff5512022-12-22T00:11:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01126e018040010.1371/journal.pone.0180400Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.Laura Anton-SanchezPedro LarrañagaRuth Benavides-PiccioneIsabel Fernaud-EspinosaJavier DeFelipeConcha BielzaWe modeled spine distribution along the dendritic networks of pyramidal neurons in both basal and apical dendrites. To do this, we applied network spatial analysis because spines can only lie on the dendritic shaft. We expanded the existing 2D computational techniques for spatial analysis along networks to perform a 3D network spatial analysis. We analyzed five detailed reconstructions of adult human pyramidal neurons of the temporal cortex with a total of more than 32,000 spines. We confirmed that there is a spatial variation in spine density that is dependent on the distance to the cell body in all dendrites. Considering the dendritic arborizations of each pyramidal cell as a group of instances of the same observation (the neuron), we used replicated point patterns together with network spatial analysis for the first time to search for significant differences in the spine distribution of basal dendrites between different cells and between all the basal and apical dendrites. To do this, we used a recent variant of Ripley's K function defined to work along networks. The results showed that there were no significant differences in spine distribution along basal arbors of the same neuron and along basal arbors of different pyramidal neurons. This suggests that dendritic spine distribution in basal dendritic arbors adheres to common rules. However, we did find significant differences in spine distribution along basal versus apical networks. Therefore, not only do apical and basal dendritic arborizations have distinct morphologies but they also obey different rules of spine distribution. Specifically, the results suggested that spines are more clustered along apical than in basal dendrites. Collectively, the results further highlighted that synaptic input information processing is different between these two dendritic domains.http://europepmc.org/articles/PMC5491215?pdf=render
spellingShingle Laura Anton-Sanchez
Pedro Larrañaga
Ruth Benavides-Piccione
Isabel Fernaud-Espinosa
Javier DeFelipe
Concha Bielza
Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.
PLoS ONE
title Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.
title_full Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.
title_fullStr Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.
title_full_unstemmed Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.
title_short Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.
title_sort three dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons
url http://europepmc.org/articles/PMC5491215?pdf=render
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