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Thalamocortical network connectivity controls spatiotemporal dynamics of cortical and thalamic traveling waves

View ORCID ProfileSayak Bhattacharya, View ORCID ProfileMatthieu B. Le Cauchois, View ORCID ProfilePablo A. Iglesias, View ORCID ProfileZhe S. Chen
doi: https://doi.org/10.1101/780239
Sayak Bhattacharya
1Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218
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Matthieu B. Le Cauchois
2Department of Mechanical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218
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Pablo A. Iglesias
1Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218
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  • For correspondence: pi@jhu.edu zhe.chen@nyulangone.org
Zhe S. Chen
3Department of Psychiatry, Department of Neuroscience & Physiology, Neuroscience Institute, New York University School of Medicine, New York, NY 10016
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  • For correspondence: pi@jhu.edu zhe.chen@nyulangone.org
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Abstract

Propagation of neural activity in spatially structured neuronal networks has been observed in awake, anesthetized and sleeping brains. However, it remains unclear how traveling waves are coordinated temporally across recurrently connected brain structures, and how network connectivity affects spatiotemporal neural activity. Here we develop a computational model of a two-dimensional thalamocortical network that enables us to investigate traveling wave characteristics in space-time. We show that thalamocortical and intracortical network connectivity, excitation/inhibition balance, thalamocortical/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. Simulations of our model further predict that increased thalamic inhibition induces slower cortical wave frequency, and enhanced cortical excitation increases cortical wave speed and oscillation frequencies. Overall, the model study provides not only theoretical insight into the basis for spatiotemporal wave patterns, but also experimental predictions that potentially control these dynamics.

Author Summary Cognition or sensorimotor control requires the coordination of neural activity across widespread brain circuits. Propagating waves of oscillatory neural activities have been observed at both macroscopic and mesoscopic levels, with various frequencies, spatial coverage, and modalities. However, a complete understanding how thalamocortical traveling waves are originated and temporally coordinated in the thalamus and cortex are still unclear. Furthermore, it remains unknown how the network connectivity, excitation/inhibition balance, thalamocortical or corticothalamic delay determine the spatiotemporal wave patterns and characteristics of cortical and thalamic traveling waves. Here we develop a computational model of a two-dimensional thalamocortical network to investigate the thalamic and neocortical traveling wave characteristics in space-time, which allows us to quantitatively assess the impact of thalamocortical network properties on the formation and maintenance of complex traveling wave patterns. Our computational model provides strong theoretical insight into the basis of spatiotemporal wave propagation, as well as experimental predictions that control these wave dynamics.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 23, 2019.
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Thalamocortical network connectivity controls spatiotemporal dynamics of cortical and thalamic traveling waves
Sayak Bhattacharya, Matthieu B. Le Cauchois, Pablo A. Iglesias, Zhe S. Chen
bioRxiv 780239; doi: https://doi.org/10.1101/780239
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Thalamocortical network connectivity controls spatiotemporal dynamics of cortical and thalamic traveling waves
Sayak Bhattacharya, Matthieu B. Le Cauchois, Pablo A. Iglesias, Zhe S. Chen
bioRxiv 780239; doi: https://doi.org/10.1101/780239

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