2024-03-29T08:46:14Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1528702022-06-30T11:33:43Zcom_10261_54com_10261_1col_10261_307
2017-07-14T11:12:52Z
urn:hdl:10261/152870
A univocal definition of the neuronal soma morphology using Gaussian mixture models
Luengo-Sanchez, Sergio
Bielza, Concha
Benavides-Piccione, Ruth
Fernaud-Espinosa, Isabel
DeFelipe, Javier
Larrañaga, Pedro
Ministerio de Economía y Competitividad (España)
Instituto de Salud Carlos III
Comunidad de Madrid
European Commission
The definition of the soma is fuzzy, as there is no clear line demarcating the soma of the labeled neurons and the origin of the dendrites and axon. Thus, the morphometric analysis of the neuronal soma is highly subjective. In this paper, we provide a mathematical definition and an automatic segmentation method to delimit the neuronal soma. We applied this method to the characterization of pyramidal cells, which are the most abundant neurons in the cerebral cortex. Since there are no benchmarks with which to compare the proposed procedure, we validated the goodness of this automatic segmentation method against manual segmentation by neuroanatomists to set up a framework for comparison. We concluded that there were no significant differences between automatically and manually segmented somata, i.e., the proposed procedure segments the neurons similarly to how a neuroanatomist does. It also provides univocal, justifiable and objective cutoffs. Thus, this study is a means of characterizing pyramidal neurons in order to objectively compare the morphometry of the somata of these neurons in different cortical areas and species.
2017-07-14T11:12:52Z
2017-07-14T11:12:52Z
2015-11-03
2017-07-14T11:12:52Z
artículo
Frontiers in Neuroanatomy 9: 137 (2015)
1662-5129
http://hdl.handle.net/10261/152870
10.3389/fnana.2015.00137
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100004587
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/100012818
26578898
en
Publisher's version
http://dx.doi.org/10.3389/fnana.2015.00137
Sí
info:eu-repo/grantAgreement/EC/FP7/604102
Copyright © 2015 Luengo-Sanchez, Bielza, Benavides-Piccione, Fernaud-Espinosa, DeFelipe and Larrañaga.
http://creativecommons.org/licenses/by/4.0/
openAccess
Frontiers Media