A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data
Sara Motlaghian, V. Vahidi, Bradley T. Baker, Ayşenil Belger, Juan Bustillo, Ashkan Faghiri, James M. Ford, Armin Iraji, Kelvin O. Lim, Daniel H. Mathalon, Robyn L. Miller, Bryon A. Mueller, Daniel S. OʼLeary, Steven G. Potkin, Adrian Preda, T.G. van Erp, Vince D. Calhoun
Topics & Concepts
Nonlinear systemDynamic functional connectivityComputer scienceResting state fMRILinear modelDynamic network analysisMutual informationArtificial intelligenceFocus (optics)Range (aeronautics)Schizophrenia (object-oriented programming)Function (biology)Machine learningPattern recognition (psychology)PsychologyNeuroscienceQuantum mechanicsMaterials scienceComposite materialComputer networkOpticsProgramming languagePhysicsBiologyEvolutionary biologyFunctional Brain Connectivity StudiesNeural dynamics and brain functionEEG and Brain-Computer Interfaces