Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the -support norm

Functional magnetic resonance imaging (fMRI) is a widely used modality, within the field of neuroimaging, that measures brain activity by detecting associated changes in blood oxygenation. One of the goals of fMRI data analysis is to detect correlations between brain activation and a task the subject performs during the scan.

Source: Computerized Medical Imaging and Graphics - March 27, 2015 Category: Radiology Authors: Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko Source Type: research