| dc.contributor.author | Ching, ShiNung | |
| dc.contributor.author | Brown, Emery N. | |
| dc.contributor.author | Kramer, Mark A. | |
| dc.date.accessioned | 2012-10-22T14:25:01Z | |
| dc.date.available | 2012-10-22T14:25:01Z | |
| dc.date.issued | 2012-08 | |
| dc.date.submitted | 2012-07 | |
| dc.identifier.issn | 1539-3755 | |
| dc.identifier.issn | 1550-2376 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/74176 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | National Institutes of Health (U.S.) (DP1-OD003646) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | American Physical Society | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1103/PhysRevE.86.021920 | en_US |
| dc.rights | 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. | en_US |
| dc.source | APS | en_US |
| dc.title | Distributed control in a mean-field cortical network model: Implications for seizure suppression | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | 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 | en_US |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
| dc.contributor.mitauthor | Ching, ShiNung | |
| dc.contributor.mitauthor | Brown, Emery N. | |
| dc.relation.journal | Physical Review E | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Ching, ShiNung; Brown, Emery; Kramer, Mark | en |
| dc.identifier.orcid | https://orcid.org/0000-0003-2668-7819 | |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |