title: Brain activity: connectivity, sparsity, and mutual information.
abstract: We develop a new approach to functional brain connectivity analysis, which deals with four fundamental aspects of connectivity not previously jointly treated. These are: temporal correlation, spurious spatial correlation, sparsity, and network construction using trajectory (as opposed to marginal) Mutual Information. We call the new method Sparse Conditional Trajectory Mutual Information (SCoTMI). We demonstrate SCoTMI on simulated and real fMRI data, showing that SCoTMI gives more accurate and more repeatable detection of network links than competing network estimation methods.
authors.forename: Ben
authors.initials: B
authors.lastname: Cassidy
authors.forename: Caroline
authors.initials: C
authors.lastname: Rae
authors.forename: Victor
authors.initials: V
authors.lastname: Solo
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D063132:Connectome; D016208:Databases, Factual; D006801:Humans; D008279:Magnetic Resonance Imaging; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*