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Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays

A ubiquitous feature of the vertebrate anatomy is the segregation of the brain into white and gray matter. Assuming that evolution maximized brain functionality, what is the reason for such segregation? To answer this question, we posit that brain functionality requires high interconnectivity and sh...

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Detalles Bibliográficos
Autores principales: Wen, Quan, Chklovskii, Dmitri B
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1323466/
https://www.ncbi.nlm.nih.gov/pubmed/16389299
http://dx.doi.org/10.1371/journal.pcbi.0010078
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author Wen, Quan
Chklovskii, Dmitri B
author_facet Wen, Quan
Chklovskii, Dmitri B
author_sort Wen, Quan
collection PubMed
description A ubiquitous feature of the vertebrate anatomy is the segregation of the brain into white and gray matter. Assuming that evolution maximized brain functionality, what is the reason for such segregation? To answer this question, we posit that brain functionality requires high interconnectivity and short conduction delays. Based on this assumption we searched for the optimal brain architecture by comparing different candidate designs. We found that the optimal design depends on the number of neurons, interneuronal connectivity, and axon diameter. In particular, the requirement to connect neurons with many fast axons drives the segregation of the brain into white and gray matter. These results provide a possible explanation for the structure of various regions of the vertebrate brain, such as the mammalian neocortex and neostriatum, the avian telencephalon, and the spinal cord.
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spelling pubmed-13234662005-12-30 Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays Wen, Quan Chklovskii, Dmitri B PLoS Comput Biol Research Article A ubiquitous feature of the vertebrate anatomy is the segregation of the brain into white and gray matter. Assuming that evolution maximized brain functionality, what is the reason for such segregation? To answer this question, we posit that brain functionality requires high interconnectivity and short conduction delays. Based on this assumption we searched for the optimal brain architecture by comparing different candidate designs. We found that the optimal design depends on the number of neurons, interneuronal connectivity, and axon diameter. In particular, the requirement to connect neurons with many fast axons drives the segregation of the brain into white and gray matter. These results provide a possible explanation for the structure of various regions of the vertebrate brain, such as the mammalian neocortex and neostriatum, the avian telencephalon, and the spinal cord. Public Library of Science 2005-12 2005-12-30 /pmc/articles/PMC1323466/ /pubmed/16389299 http://dx.doi.org/10.1371/journal.pcbi.0010078 Text en Copyright: © 2005 Wen and Chklovskii. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wen, Quan
Chklovskii, Dmitri B
Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
title Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
title_full Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
title_fullStr Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
title_full_unstemmed Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
title_short Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
title_sort segregation of the brain into gray and white matter: a design minimizing conduction delays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1323466/
https://www.ncbi.nlm.nih.gov/pubmed/16389299
http://dx.doi.org/10.1371/journal.pcbi.0010078
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