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dc.contributor.author | Pérez-Ramírez, María Úrsula | es_ES |
dc.contributor.author | Díaz-Parra, Antonio | es_ES |
dc.contributor.author | Ciccocioppo, R. | es_ES |
dc.contributor.author | Canals, S. | es_ES |
dc.contributor.author | Moratal, David | es_ES |
dc.date.accessioned | 2020-07-23T03:31:02Z | |
dc.date.available | 2020-07-23T03:31:02Z | |
dc.date.issued | 2017-09-14 | es_ES |
dc.identifier.issn | 1557-170X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/148515 | |
dc.description.abstract | [EN] Alcohol use disorders (AUD) are a major public health concern. Understanding the brain network alterations is of the utmost importance to diagnose and develop treatment strategies. Employing resting-state functional magnetic resonance imaging, we have performed a longitudinal study in a rat model of chronic excessive alcohol consumption, to identify functional alterations in brain networks triggered by alcohol drinking. Two time points were considered: 1) before alcohol consumption (control condition) and 2) after 30 days of alcohol drinking (alcohol condition). We first identified nine resting-state networks with group independent component analysis. Afterwards, dual regression was applied to obtain subject-specific time courses and spatial maps. L2-regularized partial correlation analysis between pairs of networks showed that functional connectivity (FC) between the retrosplenial-visual and striatal networks decreases due to alcohol consumption, whereas FC between the prefrontal-cingulate and striatal networks increases. Analysis of subject-specific spatial maps revealed FC decreases within networks after alcohol drinking, including the striatal, motor-parietal, prefrontal-cingulate, retrosplenial-visual and left motor-parietal networks. Overall, our results unveil a generalized decrease in brain FC induced by alcohol drinking in genetically predisposed animals, even after a relatively short period of exposure (1 month). The only exception to this hypo-connectivity state is the functional association between the striatal and prefrontal-cingulate networks, which increases after drinking, supporting evidence in human alcoholics. | es_ES |
dc.description.sponsorship | Research supported by the Spanish Ministerio de Economia y Competitividad (MINECO) under grants BFU2015-64380-C2-1-R and BFU2015-64380-C2-2R, and EU Horizon 2020 Program 668863-SyBil-AA grant. S. Canals acknowledges financial support from the Spanish State Research Agency, through the "Severo Ochoa" Programme for Centres of Excellence in R&D (ref. SEV-2013-0317). U. Perez-Ramirez and A. Diaz-Parra are funded by the Spanish Ministerio de Educacion, Cultura y Deporte (MECD) under grant FPU13/03537 and FPU13/01475 respectively. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IEEE Engineering in Medicine and Biology Society | es_ES |
dc.relation.ispartof | Proceedings Intenational Anual Conference of IEEE Engineering in Medicine and Biology Society | es_ES |
dc.relation.ispartof | 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Addiction | es_ES |
dc.subject | Robust | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Brain functional connectivity alterations in a rat model of excessive alcohol drinking: A resting-state network analysis | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1109/EMBC.2017.8037492 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/668863/EU/Systems Biology of Alcohol Addiction: Modeling and validating disease state networks in human and animal brains for understanding pathophysiolgy, predicting outcomes and improving therapy/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//BFU2015-64380-C2-1-R/ES/TRATAR LA ENFERMEDAD RESINTONIZANDO LA DINAMICA DE LAS REDES CEREBRALES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//SEV-2013-0317/ES/-/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//BFU2015-64380-C2-2-R/ES/ANALISIS DE TEXTURAS EN IMAGEN CEREBRAL MULTIMODAL POR RESONANCIA MAGNETICA PARA UNA DETECCION TEMPRANA DE ALTERACIONES EN LA RED Y BIOMARCADORES DE ENFERMEDAD/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU13%2F01475/ES/FPU13%2F01475/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU13%2F03537/ES/FPU13%2F03537/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica | es_ES |
dc.description.bibliographicCitation | Pérez-Ramírez, MÚ.; Díaz-Parra, A.; Ciccocioppo, R.; Canals, S.; Moratal, D. (2017). Brain functional connectivity alterations in a rat model of excessive alcohol drinking: A resting-state network analysis. Proceedings Intenational Anual Conference of IEEE Engineering in Medicine and Biology Society. 3016-3019. https://doi.org/10.1109/EMBC.2017.8037492 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017) | es_ES |
dc.relation.conferencedate | Julio 11-15,2017 | es_ES |
dc.relation.conferenceplace | Jeju Island, South Korea | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/EMBC.2017.8037492 | es_ES |
dc.description.upvformatpinicio | 3016 | es_ES |
dc.description.upvformatpfin | 3019 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.identifier.pmid | 29060533 | es_ES |
dc.relation.pasarela | S\353080 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte | es_ES |