title: Improved Diagnostic Multimodal Biomarkers for Alzheimer's Disease and Mild Cognitive Impairment.
abstract: The early diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI) is very important for treatment research and patient care purposes. Few biomarkers are currently considered in clinical settings, and their use is still optional. The objective of this work was to determine whether multimodal and nonpreviously AD associated features could improve the classification accuracy between AD, MCI, and healthy controls, which may impact future AD biomarkers. For this, Alzheimer's Disease Neuroimaging Initiative database was mined for case-control candidates. At least 652 baseline features extracted from MRI and PET analyses, biological samples, and clinical data up to February 2014 were used. A feature selection methodology that includes a genetic algorithm search coupled to a logistic regression classifier and forward and backward selection strategies was used to explore combinations of features. This generated diagnostic models with sizes ranging from 3 to 8, including well documented AD biomarkers, as well as unexplored image, biochemical, and clinical features. Accuracies of 0.85, 0.79, and 0.80 were achieved for HC-AD, HC-MCI, and MCI-AD classifications, respectively, when evaluated using a blind test set. In conclusion, a set of features provided additional and independent information to well-established AD biomarkers, aiding in the classification of MCI and AD.
authors.affiliation: Cátedra de Bioinformática, Tecnológico de Monterrey, 64849 Monterrey, NL, Mexico.
authors.forename: Antonio
authors.initials: A
authors.lastname: Martínez-Torteya
authors.affiliation: Cátedra de Bioinformática, Tecnológico de Monterrey, 64849 Monterrey, NL, Mexico ; Departamento de Investigación e Innovación, Escuela de Medicina, Tecnológico de Monterrey, 64710 Monterrey, NL, Mexico.
authors.forename: Víctor
authors.initials: V
authors.lastname: Treviño
authors.affiliation: Cátedra de Bioinformática, Tecnológico de Monterrey, 64849 Monterrey, NL, Mexico ; Departamento de Investigación e Innovación, Escuela de Medicina, Tecnológico de Monterrey, 64710 Monterrey, NL, Mexico.
authors.forename: José G
authors.initials: JG
authors.lastname: Tamez-Peña
mesh_terms: D000544:Alzheimer Disease / Q000000981:diagnostic imaging* / Q000235:genetics / Q000473:pathology; D015415:Biomarkers; D060825:Cognitive Dysfunction / Q000000981:diagnostic imaging* / Q000235:genetics / Q000473:pathology; D016208:Databases, Factual; D042241:Early Diagnosis; D006801:Humans; D008279:Magnetic Resonance Imaging; D064847:Multimodal Imaging; D011859:Radiography
chemical_list: D015415:Biomarkers