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Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli

The regularity of the physical world and the biomechanics of the human body movements generate distributions of highly probable states that are internalized by the brain in the course of a lifetime. In Bayesian terms, the brain exploits prior knowledge, especially under conditions when sensory input...

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Autores principales: Betti, Viviana, Della Penna, Stefania, de Pasquale, Francesco, Corbetta, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961741/
https://www.ncbi.nlm.nih.gov/pubmed/32538310
http://dx.doi.org/10.1177/1073858420928988
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author Betti, Viviana
Della Penna, Stefania
de Pasquale, Francesco
Corbetta, Maurizio
author_facet Betti, Viviana
Della Penna, Stefania
de Pasquale, Francesco
Corbetta, Maurizio
author_sort Betti, Viviana
collection PubMed
description The regularity of the physical world and the biomechanics of the human body movements generate distributions of highly probable states that are internalized by the brain in the course of a lifetime. In Bayesian terms, the brain exploits prior knowledge, especially under conditions when sensory input is unavailable or uncertain, to predictively anticipate the most likely outcome of upcoming stimuli and movements. These internal models, formed during development, yet still malleable in adults, continuously adapt through the learning of novel stimuli and movements. Traditionally, neural beta (β) oscillations are considered essential for maintaining sensorimotor and cognitive representations, and for temporal coding of expectations. However, recent findings show that fluctuations of β band power in the resting state strongly correlate between cortical association regions. Moreover, central (hub) regions form strong interactions over time with different brain regions/networks (dynamic core). β band centrality fluctuations of regions of the dynamic core predict global efficiency peaks suggesting a mechanism for network integration. Furthermore, this temporal architecture is surprisingly stable, both in topology and dynamics, during the observation of ecological natural visual scenes, whereas synthetic temporally scrambled stimuli modify it. We propose that spontaneous β rhythms may function as a long-term “prior” of frequent environmental stimuli and behaviors.
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spelling pubmed-79617412021-03-30 Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli Betti, Viviana Della Penna, Stefania de Pasquale, Francesco Corbetta, Maurizio Neuroscientist Reviews The regularity of the physical world and the biomechanics of the human body movements generate distributions of highly probable states that are internalized by the brain in the course of a lifetime. In Bayesian terms, the brain exploits prior knowledge, especially under conditions when sensory input is unavailable or uncertain, to predictively anticipate the most likely outcome of upcoming stimuli and movements. These internal models, formed during development, yet still malleable in adults, continuously adapt through the learning of novel stimuli and movements. Traditionally, neural beta (β) oscillations are considered essential for maintaining sensorimotor and cognitive representations, and for temporal coding of expectations. However, recent findings show that fluctuations of β band power in the resting state strongly correlate between cortical association regions. Moreover, central (hub) regions form strong interactions over time with different brain regions/networks (dynamic core). β band centrality fluctuations of regions of the dynamic core predict global efficiency peaks suggesting a mechanism for network integration. Furthermore, this temporal architecture is surprisingly stable, both in topology and dynamics, during the observation of ecological natural visual scenes, whereas synthetic temporally scrambled stimuli modify it. We propose that spontaneous β rhythms may function as a long-term “prior” of frequent environmental stimuli and behaviors. SAGE Publications 2020-06-15 2021-04 /pmc/articles/PMC7961741/ /pubmed/32538310 http://dx.doi.org/10.1177/1073858420928988 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Reviews
Betti, Viviana
Della Penna, Stefania
de Pasquale, Francesco
Corbetta, Maurizio
Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli
title Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli
title_full Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli
title_fullStr Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli
title_full_unstemmed Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli
title_short Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli
title_sort spontaneous beta band rhythms in the predictive coding of natural stimuli
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961741/
https://www.ncbi.nlm.nih.gov/pubmed/32538310
http://dx.doi.org/10.1177/1073858420928988
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