Three-Dimensional Analysis of Spiny Dendrites Using Straightening and Unrolling Transforms

Morales del Olmo, Juan, Benavides Piccione, Ruth ORCID: https://orcid.org/0000-0003-3288-9820, Rodríguez Martínez de Bartolomé, Ángel ORCID: https://orcid.org/0000-0002-5145-5676, Pastor Pérez, Luis ORCID: https://orcid.org/0000-0002-7900-7509, Yuste, Rafael and Felipe Oroquieta, Javier de ORCID: https://orcid.org/0000-0001-5484-0660 (2012). Three-Dimensional Analysis of Spiny Dendrites Using Straightening and Unrolling Transforms. "Neuroinformatics", v. 10 (n. 4); pp. 391-407. ISSN 1539-2791. https://doi.org/10.1007/s12021-012-9153-2.

Descripción

Título: Three-Dimensional Analysis of Spiny Dendrites Using Straightening and Unrolling Transforms
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Neuroinformatics
Fecha: Octubre 2012
ISSN: 1539-2791
Volumen: 10
Número: 4
Materias:
ODS:
Escuela: Centro de Tecnología Biomédica (CTB) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Current understanding of the synaptic organization of the brain depends to a large extent on knowledge about the synaptic inputs to the neurons. Indeed, the dendritic surfaces of pyramidal cells (the most common neuron in the cerebral cortex) are covered by thin protrusions named dendritic spines. These represent the targets of most excitatory synapses in the cerebral cortex and therefore, dendritic spines prove critical in learning, memory and cognition. This paper presents a new method that facilitates the analysis of the 3D structure of spine insertions in dendrites, providing insight on spine distribution patterns. This method is based both on the implementation of straightening and unrolling transformations to move the analysis process to a planar, unfolded arrangement, and on the design of DISPINE, an interactive environment that supports the visual analysis of 3D patterns.

Más información

ID de Registro: 20183
Identificador DC: https://oa.upm.es/20183/
Identificador OAI: oai:oa.upm.es:20183
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5487646
Identificador DOI: 10.1007/s12021-012-9153-2
URL Oficial: http://link.springer.com/article/10.1007%2Fs12021-...
Depositado por: Memoria Investigacion
Depositado el: 16 Oct 2013 17:29
Ultima Modificación: 12 Nov 2025 00:00