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Multi-modal MRI classifiers identify excessive alcohol consumption and treatment effects in the brain

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Multi-modal MRI classifiers identify excessive alcohol consumption and treatment effects in the brain

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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 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 MINECO/TEC2012-33778 es_ES
dc.relation MINECO/PIM2010ERN-00679 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/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.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 Economía, Industria y Competitividad es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder University of Edinburgh
dc.contributor.funder European Regional Development Fund


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