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Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction
(2009)
Pattern recognition methods have been successfully applied in several functional neuroimaging studies. These methods can be used to infer cognitive states, so-called brain decoding. Using such approaches, it is possible ...
Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects
(2011)
Recent techniques of image analysis brought the possibility to recognize subjects based on discriminative image features. We performed a magnetic resonance imaging (MRI)-based classification study to assess its usefulness ...
Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis
(2010)
The identification, modeling, and analysis of interactions between nodes of neural systems in the human brain have become the aim of interest of many studies in neuroscience. The complex neural network structure and its ...
Identification of psychopathic individuals using pattern classification of MRI images
(2011)
Background: Psychopathy is a disorder of personality characterized by severe impairments of social conduct, emotional experience, and interpersonal behavior. Psychopaths consistently violate social norms and bring considerable ...
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates
(2008)
Background: Prostate cancer is a leading cause of death in the male population, therefore, a comprehensive study about the genes and the molecular networks involved in the tumoral prostate process becomes necessary. In ...
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression
(2015)
© 2015 Published by Elsevier Ireland Ltd.Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major ...