The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves

Abstract Propagation of activity in spatially structured neuronal networks has been observed in awake, anesthetized, and sleeping brains. How these wave patterns emerge and organize across brain structures, and how network connectivity affects spatiotemporal neural activity remains unclear. Here, we...

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Autores principales:	Sayak Bhattacharya, Matthieu B. L. Cauchois, Pablo A. Iglesias, Zhe Sage Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/86a22cd2e9b042608d413a0baa296c16
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spelling	oai:doaj.org-article:86a22cd2e9b042608d413a0baa296c162021-12-02T18:30:57ZThe impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves10.1038/s41598-021-93618-62045-2322https://doaj.org/article/86a22cd2e9b042608d413a0baa296c162021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93618-6https://doaj.org/toc/2045-2322Abstract Propagation of activity in spatially structured neuronal networks has been observed in awake, anesthetized, and sleeping brains. How these wave patterns emerge and organize across brain structures, and how network connectivity affects spatiotemporal neural activity remains unclear. Here, we develop a computational model of a two-dimensional thalamocortical network, which gives rise to emergent traveling waves similar to those observed experimentally. We illustrate how spontaneous and evoked oscillatory activity in space and time emerge using a closed-loop thalamocortical architecture, sustaining smooth waves in the cortex and staggered waves in the thalamus. We further show that intracortical and thalamocortical network connectivity, cortical excitation/inhibition balance, and thalamocortical or corticothalamic delay can independently or jointly change the spatiotemporal patterns (radial, planar and rotating waves) and characteristics (speed, direction, and frequency) of cortical and thalamic traveling waves. Computer simulations predict that increased thalamic inhibition induces slower cortical frequencies and that enhanced cortical excitation increases traveling wave speed and frequency. Overall, our results provide insight into the genesis and sustainability of thalamocortical spatiotemporal patterns, showing how simple synaptic alterations cause varied spontaneous and evoked wave patterns. Our model and simulations highlight the need for spatially spread neural recordings to uncover critical circuit mechanisms for brain functions.Sayak BhattacharyaMatthieu B. L. CauchoisPablo A. IglesiasZhe Sage ChenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sayak Bhattacharya Matthieu B. L. Cauchois Pablo A. Iglesias Zhe Sage Chen The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves
description	Abstract Propagation of activity in spatially structured neuronal networks has been observed in awake, anesthetized, and sleeping brains. How these wave patterns emerge and organize across brain structures, and how network connectivity affects spatiotemporal neural activity remains unclear. Here, we develop a computational model of a two-dimensional thalamocortical network, which gives rise to emergent traveling waves similar to those observed experimentally. We illustrate how spontaneous and evoked oscillatory activity in space and time emerge using a closed-loop thalamocortical architecture, sustaining smooth waves in the cortex and staggered waves in the thalamus. We further show that intracortical and thalamocortical network connectivity, cortical excitation/inhibition balance, and thalamocortical or corticothalamic delay can independently or jointly change the spatiotemporal patterns (radial, planar and rotating waves) and characteristics (speed, direction, and frequency) of cortical and thalamic traveling waves. Computer simulations predict that increased thalamic inhibition induces slower cortical frequencies and that enhanced cortical excitation increases traveling wave speed and frequency. Overall, our results provide insight into the genesis and sustainability of thalamocortical spatiotemporal patterns, showing how simple synaptic alterations cause varied spontaneous and evoked wave patterns. Our model and simulations highlight the need for spatially spread neural recordings to uncover critical circuit mechanisms for brain functions.
format	article
author	Sayak Bhattacharya Matthieu B. L. Cauchois Pablo A. Iglesias Zhe Sage Chen
author_facet	Sayak Bhattacharya Matthieu B. L. Cauchois Pablo A. Iglesias Zhe Sage Chen
author_sort	Sayak Bhattacharya
title	The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves
title_short	The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves
title_full	The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves
title_fullStr	The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves
title_full_unstemmed	The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves
title_sort	impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/86a22cd2e9b042608d413a0baa296c16
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The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves

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