Can pathway-specific LFPs be obtained in cytoarchitectonically complex structures?

UDC.coleccionInvestigaciónes_ES
UDC.departamentoFisioterapia, Medicina e Ciencias Biomédicases_ES
UDC.grupoInvNeurociencia e Control Motor (NEUROcom)es_ES
UDC.grupoInvNeurociencia e Control Motor (INIBIC)es_ES
UDC.institutoCentroINIBIC - Instituto de Investigacións Biomédicas de A Coruñaes_ES
dc.contributor.authorMarakova, Julia
dc.contributor.authorOrtuño Silva, Tania
dc.contributor.authorKorovaichuk, Alejandra
dc.contributor.authorCudeiro, Javier
dc.contributor.authorMarakov, Valeri A.
dc.contributor.authorRivadulla, Casto
dc.contributor.authorHerreras, Oscar
dc.date.accessioned2015-06-08T11:09:27Z
dc.date.available2015-06-08T11:09:27Z
dc.date.issued2014-05-01
dc.description.abstract[Abstract] Deciphering how the brain encodes the continuous flow of information contained in natural stimuli requires understanding the spontaneous activity of functional assemblies in multiple neuronal populations. A promising integrative approach that combines multisite recordings of local field potentials (LFP) with an independent component analysis (ICA) enables continuous readouts of population specific activities of functionally different neuron groups to be obtained. We previously used this technique successfully in the hippocampus, a single-layer neuronal structure. Here we provide numerical evidence that the cytoarchitectonic complexity of other brain structures does not compromise the value of the ICA-separated LFP components, given that spatial sampling of LFP is representative. The spatial distribution of an LFP component may be quite complex due to folded and multilayered structure of the neuronal aggregate. Nevertheless, the time course of each LFP component is still a reliable postsynaptic convolution of spikes fired by a homogeneous afferent population. This claim is supported by preliminary experimental data obtained in the lateral geniculate nucleus of the awake monkey.es_ES
dc.description.sponsorshipThis work was supported by Grants BFU2010-19192, BFU2009-08169 and FIS2010-20054 from the former Spanish Ministry of Science and Innovation. We thank Mark Sefton at BiomedRed for editorial support.
dc.description.sponsorshipinfo:eu-repo/grantAgreement/MICINN/Programa Nacional de Investigación Fundamental/BFU2010-19192/ES/EXTRACCION DE FUENTES DE ACTIVIDAD NEURAL PROFUNDA CON TECNICAS DE SEPARACION CIEGA DE FUENTES
dc.description.sponsorshipinfo:eu-repo/grantAgreement/MICINN/Programa Nacional de Investigación Fundamental/BFU2009-08169/ES/Papel De Las Conexiones Feedback En El Procesamiento Visual
dc.description.sponsorshipinfo:eu-repo/grantAgreement/MICINN/Programa Nacional de Investigación Fundamental/FIS2010-20054/ES/MODELIZACION TEORICO-EXPERIMENTAL DE REDES NEURONALES IMPLICADAS EN PROCESOS COGNITIVOS
dc.identifier.citationMarakova J, Ortuño T, Korovaichuk A, Cudeiro J, Marakov VA, Rivadulla C, Herreras O. Can pathway-specific LFPs be obtained in cytoarchitectonically complex structures?. Front Syst Neurosci. 2014;8:66.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/14641
dc.language.isoenges_ES
dc.publisherFrontierses_ES
dc.relation.urihttp://dx.doi.org/10.3389/fnsys.2014.00066es_ES
dc.rightsCreative Commons Attribution 4.0 International Licence (CC-BY 4.0)
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLocal field potentialses_ES
dc.subjectSpatial discriminationes_ES
dc.subjectIndependent component analysises_ES
dc.subjectSpontaneous activityes_ES
dc.subjectNetwork activityes_ES
dc.subjectLateral geniculate nucleuses_ES
dc.subjectMulticompartmental neuron modeles_ES
dc.subjectLFP modeles_ES
dc.titleCan pathway-specific LFPs be obtained in cytoarchitectonically complex structures?es_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication625b7434-dd41-488a-bc91-7090b4d4691a
relation.isAuthorOfPublication3cd59af1-f59b-457f-a031-499ca9f479f1
relation.isAuthorOfPublicationa70b6d0e-88fa-4cad-af5a-5e35add9ebba
relation.isAuthorOfPublication.latestForDiscovery625b7434-dd41-488a-bc91-7090b4d4691a

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