title: An entropy-based model for basal ganglia dysfunctions in movement disorders.
abstract: During this last decade, nonlinear analyses have been used to characterize the irregularity that exists in the neuronal data stream of the basal ganglia. In comparison to linear parameters for disparity (i.e., rate, standard deviation, and oscillatory activities), nonlinear analyses focus on complex patterns that are composed of groups of interspike intervals with matching lengths but not necessarily contiguous in the data stream. In light of recent animal and clinical studies, we present a review and commentary on the basal ganglia neuronal entropy in the context of movement disorders.
authors.affiliation: Department of Neurology, University of South Alabama, 307 University Boulevard, Mobile, AL 36608, USA. odarbin@usouthal.edu
authors.forename: Olivier
authors.initials: O
authors.lastname: Darbin
authors.forename: Daniel
authors.initials: D
authors.lastname: Dees
authors.forename: Anthony
authors.initials: A
authors.lastname: Martino
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Adams
authors.forename: Dean
authors.initials: D
authors.lastname: Naritoku
mesh_terms: D000818:Animals; D001479:Basal Ganglia / Q000503:physiopathology*; D019277:Entropy; D006801:Humans; D008959:Models, Neurological; D009069:Movement Disorders / Q000503:physiopathology*; D009474:Neurons / Q000473:pathology; D017711:Nonlinear Dynamics