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Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory

With the advent of neuroimaging techniques, it becomes feasible to explore the structure-function relationships in the brain. When the brain is not involved in any cognitive task or stimulated by any external output, it preserves important activities which follow well-defined spatial distribution pa...

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Autores principales: Das, T. K., Abeyasinghe, P. M., Crone, J. S., Sosnowski, A., Laureys, S., Owen, A. M., Soddu, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168033/
https://www.ncbi.nlm.nih.gov/pubmed/25276772
http://dx.doi.org/10.1155/2014/237898
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author Das, T. K.
Abeyasinghe, P. M.
Crone, J. S.
Sosnowski, A.
Laureys, S.
Owen, A. M.
Soddu, A.
author_facet Das, T. K.
Abeyasinghe, P. M.
Crone, J. S.
Sosnowski, A.
Laureys, S.
Owen, A. M.
Soddu, A.
author_sort Das, T. K.
collection PubMed
description With the advent of neuroimaging techniques, it becomes feasible to explore the structure-function relationships in the brain. When the brain is not involved in any cognitive task or stimulated by any external output, it preserves important activities which follow well-defined spatial distribution patterns. Understanding the self-organization of the brain from its anatomical structure, it has been recently suggested to model the observed functional pattern from the structure of white matter fiber bundles. Different models which study synchronization (e.g., the Kuramoto model) or global dynamics (e.g., the Ising model) have shown success in capturing fundamental properties of the brain. In particular, these models can explain the competition between modularity and specialization and the need for integration in the brain. Graphing the functional and structural brain organization supports the model and can also highlight the strategy used to process and organize large amount of information traveling between the different modules. How the flow of information can be prevented or partially destroyed in pathological states, like in severe brain injured patients with disorders of consciousness or by pharmacological induction like in anaesthesia, will also help us to better understand how global or integrated behavior can emerge from local and modular interactions.
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spelling pubmed-41680332014-09-28 Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory Das, T. K. Abeyasinghe, P. M. Crone, J. S. Sosnowski, A. Laureys, S. Owen, A. M. Soddu, A. Biomed Res Int Review Article With the advent of neuroimaging techniques, it becomes feasible to explore the structure-function relationships in the brain. When the brain is not involved in any cognitive task or stimulated by any external output, it preserves important activities which follow well-defined spatial distribution patterns. Understanding the self-organization of the brain from its anatomical structure, it has been recently suggested to model the observed functional pattern from the structure of white matter fiber bundles. Different models which study synchronization (e.g., the Kuramoto model) or global dynamics (e.g., the Ising model) have shown success in capturing fundamental properties of the brain. In particular, these models can explain the competition between modularity and specialization and the need for integration in the brain. Graphing the functional and structural brain organization supports the model and can also highlight the strategy used to process and organize large amount of information traveling between the different modules. How the flow of information can be prevented or partially destroyed in pathological states, like in severe brain injured patients with disorders of consciousness or by pharmacological induction like in anaesthesia, will also help us to better understand how global or integrated behavior can emerge from local and modular interactions. Hindawi Publishing Corporation 2014 2014-09-04 /pmc/articles/PMC4168033/ /pubmed/25276772 http://dx.doi.org/10.1155/2014/237898 Text en Copyright © 2014 T. K. Das et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Das, T. K.
Abeyasinghe, P. M.
Crone, J. S.
Sosnowski, A.
Laureys, S.
Owen, A. M.
Soddu, A.
Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory
title Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory
title_full Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory
title_fullStr Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory
title_full_unstemmed Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory
title_short Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory
title_sort highlighting the structure-function relationship of the brain with the ising model and graph theory
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168033/
https://www.ncbi.nlm.nih.gov/pubmed/25276772
http://dx.doi.org/10.1155/2014/237898
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