title: Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM.
abstract: Resting state functional Magnetic Resonance Imaging (rs-fMRI) is increasingly used for the identification of image biomarkers of brain diseases or psychiatric conditions such as schizophrenia. This paper deals with the application of ensembles of Extreme Learning Machines (ELM) to build Computer Aided Diagnosis systems on the basis of features extracted from the activity measures computed over rs-fMRI data. The power of ELM to provide quick but near optimal solutions to the training of Single Layer Feedforward Networks (SLFN) allows extensive exploration of discriminative power of feature spaces in affordable time with off-the-shelf computational resources. Exploration is performed in this paper by an evolutionary search approach that has found functional activity map features allowing to achieve quite successful classification experiments, providing biologically plausible voxel-site localizations.
authors.affiliation: Computational Intelligence Group (GIC), University of the Basque Country, UPV/EHU, Spain; CISE Department, University of Florida, Gainesville, USA. Electronic address: daria.chizhik@gmail.com.
authors.forename: Darya
authors.initials: D
authors.lastname: Chyzhyk
authors.affiliation: Computational Intelligence Group (GIC), University of the Basque Country, UPV/EHU, Spain; ENGINE Centre, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Savio
authors.affiliation: Computational Intelligence Group (GIC), University of the Basque Country, UPV/EHU, Spain; ENGINE Centre, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland.
authors.forename: Manuel
authors.initials: M
authors.lastname: Graña
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D000069550:Machine Learning; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D012559:Schizophrenia / Q000175:diagnosis* / Q000503:physiopathology; D055815:Young Adult
keywords: Computer Aided Diagnosis; Extreme Learning Machine Ensembles; Resting state fMRI; Schizophrenia