- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

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

Show full item record

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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/112499

Files in this item

Item Metadata

Title: Multi-modal MRI classifiers identify excessive alcohol consumption and treatment effects in the brain
Author: Cosa, Alejandro Moreno, Andrea Pacheco-Torres, Jesús Ciccocioppo, Roberto Hyytiä, Petri Sommer, Wolfgang H. Moratal, David Canals, Santiago
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
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 ...[+]
Subjects: Alcohol use disorders , Classification algorithms , Machine learning , Multi-modal MRI , Naltrexone , Rat
Copyrigths: Cerrado
Source:
Addiction Biology. (issn: 1355-6215 )
DOI: 10.1111/adb.12418
Publisher:
Blackwell Publishing
Publisher version: https://doi.org/10.1111/adb.12418
Project ID:
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/
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/
MINECO/TEC2012-33778
MINECO/PIM2010ERN-00679
Thanks:
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 ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record