Publication:
Rate of information flow across layered neuro-spike network in the spinal cord

dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorCivaş, Meltem
dc.contributor.kuauthorAkan, Özgür Barış
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Electrical and Electronics Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokid6647
dc.date.accessioned2024-11-09T23:25:00Z
dc.date.issued2020
dc.description.abstractSpinal 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.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue3
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsorshipERC Project MINERVA [ERC-2013-CoG 616922]
dc.description.sponsorshipERC Proof of Concept Project MINERGRACE [ERC-2017-PoC 780645]
dc.description.sponsorshipHuawei 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.volume19
dc.identifier.doi10.1109/TNB.2020.2980476
dc.identifier.eissn1558-2639
dc.identifier.issn1536-1241
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-85081598846
dc.identifier.urihttp://dx.doi.org/10.1109/TNB.2020.2980476
dc.identifier.urihttps://hdl.handle.net/20.500.14288/11297
dc.identifier.wos545423500005
dc.keywordsNeurons
dc.keywordsSpinal cord
dc.keywordsMuscles
dc.keywordsManganese
dc.keywordsDiseases
dc.keywordsBrain modeling
dc.keywordsInformation and communication technology
dc.keywordsNeuro-spike communication
dc.keywordsNanoscale communication
dc.keywordsSpinal cord injuries
dc.languageEnglish
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.sourceIEEE Transactions on Nanobioscience
dc.subjectBiochemical research methods
dc.subjectNanoscience
dc.subjectNanotechnology
dc.titleRate of information flow across layered neuro-spike network in the spinal cord
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.authorid0000-0003-2523-3858
local.contributor.kuauthorCivaş, Meltem
local.contributor.kuauthorAkan, Özgür Barış
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

Files