title: Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging.
abstract: Mutual information tools have been recently applied to quantify the connectivity between brain regions in functional magnetic resonance imaging (fMRI). Here we develop measures of mutual information between clusters of brain regions in the frequency domain. The properties and limitations of the method are exemplified through a single resting state fMRI dataset, and with a comparison involving frontostriatal connections in schizophrenic patients and healthy controls.
authors.affiliation: Fundació Sant Joan de Déu-SJD SSM, Dr. Antoni Pujadas, 42 Sant Boi de Llobregat 08830, Barcelona, Spain. rsalvador@fsjd.org <rsalvador@fsjd.org>
authors.forename: R
authors.initials: R
authors.lastname: Salvador
authors.forename: A
authors.initials: A
authors.lastname: Martínez
authors.forename: E
authors.initials: E
authors.lastname: Pomarol-Clotet
authors.forename: S
authors.initials: S
authors.lastname: Sarró
authors.forename: J
authors.initials: J
authors.lastname: Suckling
authors.forename: E
authors.initials: E
authors.lastname: Bullmore
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D016000:Cluster Analysis; D005583:Fourier Analysis; D006801:Humans; D007257:Information Theory; D008279:Magnetic Resonance Imaging / Q000706:statistics & numerical data*; D012559:Schizophrenia / Q000473:pathology