Publication: Rate of information flow across layered neuro-spike network in the spinal cord
dc.contributor.department | N/A | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.kuauthor | Civaş, Meltem | |
dc.contributor.kuauthor | Akan, Özgür Barış | |
dc.contributor.kuprofile | PhD Student | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Electrical and Electronics Engineering | |
dc.contributor.schoolcollegeinstitute | Graduate School of Sciences and Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.yokid | N/A | |
dc.contributor.yokid | 6647 | |
dc.date.accessioned | 2024-11-09T23:25:00Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Spinal Cord Injury (SCI) is a severe condition that can result in loss of motor and sensory functions by disrupting communication among neurons, i.e., neuro-spike communication. Future information and communication technology (ICT) based treatment techniques for SCI are expected to rely on nano networks, deployed inside the body. In this respect, modeling neuro-spike communication channels in the spinal cord and revealing the relationship between channel metrics and SCI are required to realize these treatment techniques and diagnosis tools such as replacement neural implants, high-performance diagnosis tools, which are based on ICT metrics instead of large medical data. Therefore, in this study, we focus on a spinal cord network, namely the descending spinal cord pathway, which is responsible for the transmission of brain motor signals to the spinal cord. We aim to analyze the rate of motor information flow to the corresponding muscle. To this end, we model the spinal cord motor network as a layered network consisting of a cascade of two independent neuro-spike channels, which are brain-spinal cord network and spinal cord interneuron-spinal cord motoneuron network. We derive upper and lower bounds for the total rate across the brain-spinal cord network and interneuron-spinal cord network. Our evaluations demonstrate that the total rate in the case of upper motor neuron syndrome (UMNS), which manifests itself with muscle weakness, approaches zero, where the brain-spinal cord network becomes a bottleneck. In lower motor neuron syndrome (LMNS), which results in muscle atrophy, the total rate again approaches zero with the loss of spinal cord motoneurons (MN). | |
dc.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.issue | 3 | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsorship | ERC Project MINERVA [ERC-2013-CoG 616922] | |
dc.description.sponsorship | ERC Proof of Concept Project MINERGRACE [ERC-2017-PoC 780645] | |
dc.description.sponsorship | Huawei Graduate Research Scholarship This work was supported in part by the ERC Project MINERVA under Grant ERC-2013-CoG 616922, in part by the ERC Proof of Concept Project MINERGRACE under Grant ERC-2017-PoC 780645, and in part by the Huawei Graduate Research Scholarship. | |
dc.description.volume | 19 | |
dc.identifier.doi | 10.1109/TNB.2020.2980476 | |
dc.identifier.eissn | 1558-2639 | |
dc.identifier.issn | 1536-1241 | |
dc.identifier.quartile | Q3 | |
dc.identifier.scopus | 2-s2.0-85081598846 | |
dc.identifier.uri | http://dx.doi.org/10.1109/TNB.2020.2980476 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/11297 | |
dc.identifier.wos | 545423500005 | |
dc.keywords | Neurons | |
dc.keywords | Spinal cord | |
dc.keywords | Muscles | |
dc.keywords | Manganese | |
dc.keywords | Diseases | |
dc.keywords | Brain modeling | |
dc.keywords | Information and communication technology | |
dc.keywords | Neuro-spike communication | |
dc.keywords | Nanoscale communication | |
dc.keywords | Spinal cord injuries | |
dc.language | English | |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | |
dc.source | IEEE Transactions on Nanobioscience | |
dc.subject | Biochemical research methods | |
dc.subject | Nanoscience | |
dc.subject | Nanotechnology | |
dc.title | Rate of information flow across layered neuro-spike network in the spinal cord | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.authorid | N/A | |
local.contributor.authorid | 0000-0003-2523-3858 | |
local.contributor.kuauthor | Civaş, Meltem | |
local.contributor.kuauthor | Akan, Özgür Barış | |
relation.isOrgUnitOfPublication | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 |