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Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem
The dynamics of the environment where we live in and the interaction with it, predicting events, provided strong evolutionary pressures for the brain functioning to process temporal information and generate timed responses. As a result, the human brain is able to process temporal information and gen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141745/ https://www.ncbi.nlm.nih.gov/pubmed/30254581 http://dx.doi.org/10.3389/fncom.2018.00075 |
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author | Gili, Tommaso Ciullo, Valentina Spalletta, Gianfranco |
author_facet | Gili, Tommaso Ciullo, Valentina Spalletta, Gianfranco |
author_sort | Gili, Tommaso |
collection | PubMed |
description | The dynamics of the environment where we live in and the interaction with it, predicting events, provided strong evolutionary pressures for the brain functioning to process temporal information and generate timed responses. As a result, the human brain is able to process temporal information and generate temporal patterns. Despite the clear importance of temporal processing to cognition, learning, communication and sensory, motor and emotional processing, the basal mechanisms of how animals differentiate simple intervals or provide timed responses are still under debate. The lesson we learned from the last decade of research in neuroscience is that functional and structural brain connectivity matter. Specifically, it has been accepted that the organization of the brain in interacting segregated networks enables its function. In this paper we delineate the route to a promising approach for investigating timing mechanisms. We illustrate how novel insight into timing mechanisms can come by investigating brain functioning as a multi-layer dynamical network whose clustered dynamics is bound to report the presence of metastable states. We anticipate that metastable dynamics underlie the real-time coordination necessary for the brain's dynamic functioning associated to time perception. This new point of view will help further clarifying mechanisms of neuropsychiatric disorders. |
format | Online Article Text |
id | pubmed-6141745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61417452018-09-25 Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem Gili, Tommaso Ciullo, Valentina Spalletta, Gianfranco Front Comput Neurosci Neuroscience The dynamics of the environment where we live in and the interaction with it, predicting events, provided strong evolutionary pressures for the brain functioning to process temporal information and generate timed responses. As a result, the human brain is able to process temporal information and generate temporal patterns. Despite the clear importance of temporal processing to cognition, learning, communication and sensory, motor and emotional processing, the basal mechanisms of how animals differentiate simple intervals or provide timed responses are still under debate. The lesson we learned from the last decade of research in neuroscience is that functional and structural brain connectivity matter. Specifically, it has been accepted that the organization of the brain in interacting segregated networks enables its function. In this paper we delineate the route to a promising approach for investigating timing mechanisms. We illustrate how novel insight into timing mechanisms can come by investigating brain functioning as a multi-layer dynamical network whose clustered dynamics is bound to report the presence of metastable states. We anticipate that metastable dynamics underlie the real-time coordination necessary for the brain's dynamic functioning associated to time perception. This new point of view will help further clarifying mechanisms of neuropsychiatric disorders. Frontiers Media S.A. 2018-09-11 /pmc/articles/PMC6141745/ /pubmed/30254581 http://dx.doi.org/10.3389/fncom.2018.00075 Text en Copyright © 2018 Gili, Ciullo and Spalletta. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Gili, Tommaso Ciullo, Valentina Spalletta, Gianfranco Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem |
title | Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem |
title_full | Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem |
title_fullStr | Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem |
title_full_unstemmed | Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem |
title_short | Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem |
title_sort | metastable states of multiscale brain networks are keys to crack the timing problem |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141745/ https://www.ncbi.nlm.nih.gov/pubmed/30254581 http://dx.doi.org/10.3389/fncom.2018.00075 |
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