3D morphology-based clustering and simulation of human pyramidal cell dendritic spines

Luengo Sánchez, Sergio and Fernaud Espinosa, Isabel and Bielza Lozoya, María Concepción and Benavides Piccione, Ruth and Larrañaga Múgica, Pedro María and Felipe Oroquieta, Javier de (2018). 3D morphology-based clustering and simulation of human pyramidal cell dendritic spines. "PLOS Computational Biology", v. 14 (n. 6); pp. 1-22. ISSN 1553-7358. https://doi.org/10.1371/journal.pcbi.1006221.

Description

Title: 3D morphology-based clustering and simulation of human pyramidal cell dendritic spines
Author/s:
  • Luengo Sánchez, Sergio
  • Fernaud Espinosa, Isabel
  • Bielza Lozoya, María Concepción
  • Benavides Piccione, Ruth
  • Larrañaga Múgica, Pedro María
  • Felipe Oroquieta, Javier de
Item Type: Article
Título de Revista/Publicación: PLOS Computational Biology
Date: 2018
ISSN: 1553-7358
Volume: 14
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The dendritic spines of pyramidal neurons are the targets of most excitatory synapses in the cerebral cortex. They have a wide variety of morphologies, and their morphology appears to be critical from the functional point of view. To further characterize dendritic spine geometry, we used in this paper over 7,000 individually 3D reconstructed dendritic spines from human cortical pyramidal neurons to group dendritic spines using model-based clustering. This approach uncovered six separate groups of human dendritic spines. To better understand the differences between these groups, the discriminative characteristics of each group were identified as a set of rules. Model-based clustering was also useful for simulating accurate 3D virtual representations of spines that matched the morphological definitions of each cluster. This mathematical approach could provide a useful tool for theoretical predictions on the functional features of human pyramidal neurons based on the morphology of dendritic spines.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainC080020-09UnspecifiedUnspecifiedCajal Blue Brain
Government of SpainTIN2016-79684-PUnspecifiedUniversidad Politécnica de MadridAvances en clasificación multidimensional y detección de anomalías con redes bayesianas
Madrid Regional GovernmentS2013/ICE-2845CASI – CAMUnspecifiedConceptos y aplicaciones de los sistemas inteligentes
Horizon 2020720270HBP SGA1UnspecifiedHuman Brain Project Specific Grant Agreement 1

More information

Item ID: 54566
DC Identifier: http://oa.upm.es/54566/
OAI Identifier: oai:oa.upm.es:54566
DOI: 10.1371/journal.pcbi.1006221
Official URL: https://journals.plos.org/ploscompbiol/article?rev=2&id=10.1371/journal.pcbi.1006221
Deposited by: Memoria Investigacion
Deposited on: 14 May 2019 10:08
Last Modified: 14 May 2019 10:08
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