Distributed control in a mean-field cortical network model: Implications for seizure suppression
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, n...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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American Physical Society
2012
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| Online Access: | http://hdl.handle.net/1721.1/74176 https://orcid.org/0000-0003-2668-7819 |
| _version_ | 1826214819013853184 |
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| author | Ching, ShiNung Brown, Emery N. Kramer, Mark A. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Ching, ShiNung Brown, Emery N. Kramer, Mark A. |
| author_sort | Ching, ShiNung |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:11:39Z |
| format | Article |
| id | mit-1721.1/74176 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:11:39Z |
| publishDate | 2012 |
| publisher | American Physical Society |
| record_format | dspace |
| spelling | mit-1721.1/741762022-10-02T06:58:12Z Distributed control in a mean-field cortical network model: Implications for seizure suppression Ching, ShiNung Brown, Emery N. Kramer, Mark A. Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Ching, ShiNung Brown, Emery N. 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. National Institutes of Health (U.S.) (DP1-OD003646) 2012-10-22T14:25:01Z 2012-10-22T14:25:01Z 2012-08 2012-07 Article http://purl.org/eprint/type/JournalArticle 1539-3755 1550-2376 http://hdl.handle.net/1721.1/74176 Ching, ShiNung, Emery Brown, and Mark Kramer. “Distributed Control in a Mean-field Cortical Network Model: Implications for Seizure Suppression.” Physical Review E 86.2 (2012). ©2012 American Physical Society https://orcid.org/0000-0003-2668-7819 en_US http://dx.doi.org/10.1103/PhysRevE.86.021920 Physical Review E Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society APS |
| spellingShingle | Ching, ShiNung Brown, Emery N. Kramer, Mark A. Distributed control in a mean-field cortical network model: Implications for seizure suppression |
| title | Distributed control in a mean-field cortical network model: Implications for seizure suppression |
| title_full | Distributed control in a mean-field cortical network model: Implications for seizure suppression |
| title_fullStr | Distributed control in a mean-field cortical network model: Implications for seizure suppression |
| title_full_unstemmed | Distributed control in a mean-field cortical network model: Implications for seizure suppression |
| title_short | Distributed control in a mean-field cortical network model: Implications for seizure suppression |
| title_sort | distributed control in a mean field cortical network model implications for seizure suppression |
| url | http://hdl.handle.net/1721.1/74176 https://orcid.org/0000-0003-2668-7819 |
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