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A Predictive Structural Model of the Primate Connectome

Anatomical connectivity imposes strong constraints on brain function, but there is no general agreement about principles that govern its organization. Based on extensive quantitative data, we tested the power of three factors to predict connections of the primate cerebral cortex: architectonic simil...

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Detalles Bibliográficos
Autores principales: Beul, Sarah F., Barbas, Helen, Hilgetag, Claus C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335700/
https://www.ncbi.nlm.nih.gov/pubmed/28256558
http://dx.doi.org/10.1038/srep43176
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author Beul, Sarah F.
Barbas, Helen
Hilgetag, Claus C.
author_facet Beul, Sarah F.
Barbas, Helen
Hilgetag, Claus C.
author_sort Beul, Sarah F.
collection PubMed
description Anatomical connectivity imposes strong constraints on brain function, but there is no general agreement about principles that govern its organization. Based on extensive quantitative data, we tested the power of three factors to predict connections of the primate cerebral cortex: architectonic similarity (structural model), spatial proximity (distance model) and thickness similarity (thickness model). Architectonic similarity showed the strongest and most consistent influence on connection features. This parameter was strongly associated with the presence or absence of inter-areal connections and when integrated with spatial distance, the factor allowed predicting the existence of projections with very high accuracy. Moreover, architectonic similarity was strongly related to the laminar pattern of projection origins, and the absolute number of cortical connections of an area. By contrast, cortical thickness similarity and distance were not systematically related to connection features. These findings suggest that cortical architecture provides a general organizing principle for connections in the primate brain, providing further support for the well-corroborated structural model.
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spelling pubmed-53357002017-03-07 A Predictive Structural Model of the Primate Connectome Beul, Sarah F. Barbas, Helen Hilgetag, Claus C. Sci Rep Article Anatomical connectivity imposes strong constraints on brain function, but there is no general agreement about principles that govern its organization. Based on extensive quantitative data, we tested the power of three factors to predict connections of the primate cerebral cortex: architectonic similarity (structural model), spatial proximity (distance model) and thickness similarity (thickness model). Architectonic similarity showed the strongest and most consistent influence on connection features. This parameter was strongly associated with the presence or absence of inter-areal connections and when integrated with spatial distance, the factor allowed predicting the existence of projections with very high accuracy. Moreover, architectonic similarity was strongly related to the laminar pattern of projection origins, and the absolute number of cortical connections of an area. By contrast, cortical thickness similarity and distance were not systematically related to connection features. These findings suggest that cortical architecture provides a general organizing principle for connections in the primate brain, providing further support for the well-corroborated structural model. Nature Publishing Group 2017-03-03 /pmc/articles/PMC5335700/ /pubmed/28256558 http://dx.doi.org/10.1038/srep43176 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Beul, Sarah F.
Barbas, Helen
Hilgetag, Claus C.
A Predictive Structural Model of the Primate Connectome
title A Predictive Structural Model of the Primate Connectome
title_full A Predictive Structural Model of the Primate Connectome
title_fullStr A Predictive Structural Model of the Primate Connectome
title_full_unstemmed A Predictive Structural Model of the Primate Connectome
title_short A Predictive Structural Model of the Primate Connectome
title_sort predictive structural model of the primate connectome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335700/
https://www.ncbi.nlm.nih.gov/pubmed/28256558
http://dx.doi.org/10.1038/srep43176
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