Literature DB >> 23005798

Distributed control in a mean-field cortical network model: implications for seizure suppression.

ShiNung Ching1, Emery N Brown, Mark A Kramer.   

Abstract

Brain electrical stimulation (BES) has long been suggested as a means of controlling pathological brain activity. In epilepsy, control of a spatially localized source, the seizure focus, may normalize neuronal dynamics. Consequently, most BES research has been directed at controlling small, local, neuronal populations. At a higher level, pathological seizure activity can be viewed as a network event that may begin without a clear spatial focus or in multiple sites and spread rapidly through a distributed cortical network. In this paper, we begin to address the implications of local control in a network scenario. To do so, we explore the efficacy of local BES when deployed over a larger-scale neuronal network, for instance, using a grid of stimulating electrodes on the cortex. By introducing a mean-field model of neuronal interactions we are able to identify limitations in network controllability based on physiological constraints that suggest the need for more nuanced network control strategies.

Entities:  

Mesh:

Year:  2012        PMID: 23005798     DOI: 10.1103/PhysRevE.86.021920

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  15 in total

1.  Role of Graph Architecture in Controlling Dynamical Networks with Applications to Neural Systems.

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Journal:  Nat Phys       Date:  2017-09-25       Impact factor: 20.034

Review 2.  Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.

Authors:  Danielle S Bassett; Ankit N Khambhati; Scott T Grafton
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Review 3.  Cognitive network neuroscience.

Authors:  John D Medaglia; Mary-Ellen Lynall; Danielle S Bassett
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Review 4.  Network neuroscience.

Authors:  Danielle S Bassett; Olaf Sporns
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

5.  A Hamilton-Jacobi-Bellman approach for termination of seizure-like bursting.

Authors:  Dan Wilson; Jeff Moehlis
Journal:  J Comput Neurosci       Date:  2014-06-26       Impact factor: 1.621

6.  A practical guide to methodological considerations in the controllability of structural brain networks.

Authors:  Teresa M Karrer; Jason Z Kim; Jennifer Stiso; Ari E Kahn; Fabio Pasqualetti; Ute Habel; Danielle S Bassett
Journal:  J Neural Eng       Date:  2020-04-09       Impact factor: 5.379

7.  Optimal control based seizure abatement using patient derived connectivity.

Authors:  Peter N Taylor; Jijju Thomas; Nishant Sinha; Justin Dauwels; Marcus Kaiser; Thomas Thesen; Justin Ruths
Journal:  Front Neurosci       Date:  2015-06-03       Impact factor: 4.677

8.  Emergence of coupling-induced oscillations and broken symmetries in heterogeneously driven nonlinear reaction networks.

Authors:  Varsha Sreenivasan; Shakti N Menon; Sitabhra Sinha
Journal:  Sci Rep       Date:  2017-05-09       Impact factor: 4.379

9.  Emergence from general anesthesia and the sleep-manifold.

Authors:  Darren F Hight; Vera M Dadok; Andrew J Szeri; Paul S García; Logan Voss; Jamie W Sleigh
Journal:  Front Syst Neurosci       Date:  2014-08-13

Review 10.  Small-World Brain Networks Revisited.

Authors:  Danielle S Bassett; Edward T Bullmore
Journal:  Neuroscientist       Date:  2016-09-21       Impact factor: 7.519

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