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dc.contributor.author | Cosa, Alejandro | es_ES |
dc.contributor.author | Moreno, Andrea | es_ES |
dc.contributor.author | Pacheco-Torres, Jesús | es_ES |
dc.contributor.author | Ciccocioppo, Roberto | es_ES |
dc.contributor.author | Hyytiä, Petri | es_ES |
dc.contributor.author | Sommer, Wolfgang H. | es_ES |
dc.contributor.author | Moratal, David | es_ES |
dc.contributor.author | Canals, Santiago | es_ES |
dc.date.accessioned | 2018-11-14T21:02:52Z | |
dc.date.available | 2018-11-14T21:02:52Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.issn | 1355-6215 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/112499 | |
dc.description.abstract | [EN] Robust neuroimaging markers of neuropsychiatric disorders have proven difficult to obtain. In alcohol use disorders, profound brain structural deficits can be found in severe alcoholic patients, but the heterogeneity of unimodal MRI measurements has so far precluded the identification of selective biomarkers, especially for early diagnosis. In the present work we used a combination of multiple MRI modalities to provide comprehensive and insightful descriptions of brain tissue microstructure. We performed a longitudinal experiment using Marchigian¿Sardinian (msP) rats, an established model of chronic excessive alcohol consumption, and acquired multi¿modal images before and after 1¿month of alcohol consumption (6.8¿±¿1.4¿g/kg/day, mean¿±¿SD), as well as after 1¿week of abstinence with or without concomitant treatment with the antirelapse opioid antagonist naltrexone (2.5¿mg/kg/day). We found remarkable sensitivity and selectivity to accurately classify brains affected by alcohol even after the relative short exposure period. One month drinking was enough to imprint a highly specific signature of alcohol consumption. Brain alterations were regionally specific and affected both gray and white matter and persisted into the early abstinence state without any detectable recovery. Interestingly, naltrexone treatment during early abstinence resulted in subtle brain changes that could be distinguished from non¿treated abstinent brains, suggesting the existence of an intermediate state associated with brain recovery from alcohol exposure induced by medication. The presented framework is a promising tool for the development of biomarkers for clinical diagnosis of alcohol use disorders, with capacity to further inform about its progression and response to treatment. | es_ES |
dc.description.sponsorship | We are grateful to Begona Fernandez for her excellent technical assistance. Supported by grants from the Spanish MINECO to S.C. (BFU2015-64380-C2-1-R and PIM2010ERN-00679 as part of the Era-Net NEURON TRANSALC) and from the EU Horizon 2020 Program 668863-SyBil-AA grant, and to D.M. including FEDER funds under grant TEC2012-33778 and BFU2015-64380-C2-2-R. A.M. holds a studentship from the University of Edinburgh. The Instituto de Neurociencias is 'Centre of Excellence Severo Ochoa'. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Blackwell Publishing | es_ES |
dc.relation.ispartof | Addiction Biology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Alcohol use disorders | es_ES |
dc.subject | Classification algorithms | es_ES |
dc.subject | Machine learning | es_ES |
dc.subject | Multi-modal MRI | es_ES |
dc.subject | Naltrexone | es_ES |
dc.subject | Rat | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Multi-modal MRI classifiers identify excessive alcohol consumption and treatment effects in the brain | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1111/adb.12418 | 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/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/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TEC2012-33778/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TEC2012-33778/ES/CARACTERIZACION CUANTITATIVA DE LA METASTASIS VERTEBRAL MEDIANTE ANALISIS DE IMAGEN DE TC Y MODELADO POR ELEMENTOS FINITOS PARA LA DETERMINACION DEL RIESGO DE FRACTURA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//PIM2010ERN-00679/ES/CIRCUITOS NEURONALES DISFUNCIONALES EN ALCOHOLISMO: CONECTIVIDAD CEREBRAL COMO INDICE TERAPEUTICO/ | 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/ | |
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 | Cosa, A.; Moreno, A.; Pacheco-Torres, J.; Ciccocioppo, R.; Hyytiä, P.; Sommer, WH.; Moratal, D.... (2017). Multi-modal MRI classifiers identify excessive alcohol consumption and treatment effects in the brain. Addiction Biology. 22(5):1459-1472. https://doi.org/10.1111/adb.12418 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1111/adb.12418 | es_ES |
dc.description.upvformatpinicio | 1459 | es_ES |
dc.description.upvformatpfin | 1472 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 22 | es_ES |
dc.description.issue | 5 | es_ES |
dc.relation.pasarela | S\353076 | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | University of Edinburgh | |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |