Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Predicting dementia development in Parkinson's disease using Bayesian network classifiers
Año:2012
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Parkinson's disease (PD) has broadly been associated with mild cognitive impairment (PDMCI) and dementia (PDD). Researchers have studied surrogate, neuroanatomic biomarkers provided by magnetic resonance imaging (MRI) that may help in the early diagnosis of this condition. In this paper four classification models (naive Bayes, multivariate filter-based naive Bayes, filter selective naive Bayes and SVM) have been applied to evaluate their capacity to discriminate between cognitive intact patients with Parkinson's disease (PDCI), PDMCI and PDD. For this purpose, the MRI studies of 45 subjects (16 PDCI, 15 PDMCI and 14 PDD) were acquired and post processed with Freesurfer, obtaining 112 variables (volumes of subcortical structures and thickness of cortical parcels) per subject. A multi- variate filter-based naive Bayes was found to be the best classifier, having the highest cross-validated sensitivity, specificity and accuracy. Additionally, the most relevant variables related to dementia in PD, as predicted by our classifiers, were cerebral white matter, and volumes of the lateral ventricles and hippocampi.
Internacional
Si
JCR del ISI
Si
Título de la revista
Psychiatry Research-Neuroimaging
ISSN
0925-4927
Factor de impacto JCR
2,964
Información de impacto
Volumen
DOI
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Participantes
  • Autor: Dinora Araceli Morales Vega (UPM)
  • Autor: Yolanda Vives-Gilbert (Port d'Informació Científica, Campus UAB; Institut de Física d'AltesEnergies, IFAE)
  • Autor: Beatriz Gómez-Ansón (Neuroradiology Unit, HospitalSantaCreuiSantPau)
  • Autor: Endika Bengoetxea (Intelligent Systems Group, University of the Basque Country)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Autor: Javier Pagonabarraga (Department of Neurology, HospitalSantaCreuiSantPau)
  • Autor: Jaime Kulisevsky (Department of Neurology, HospitalSantaCreuiSantPau)
  • Autor: Idoia Corcuera-Solano (Neuroradiology Unit, HospitalSantaCreuiSantPau)
  • Autor: Manuel Delfino (Port d'Informació Científica, Campus UAB; Universitat Autonoma de Barcelona)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Departamento: Inteligencia Artificial
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