title: Neuronal functional connectivity dynamics in cortex: An MSC-based analysis.
abstract: The activation of neural ensembles in the cortex is correlated with behavioral states and a change in neuronal functional connectivity patterns is expected. In this paper, we investigate this dynamic nature of functional connectivity in the cortex. Because of the time scale of behavior, a robust method with limited sample size is desirable. In light of this, we utilize mean square contingency (MSC) to measure the pairwise neural dependency to quantify the cortical functional connectivity. Simulation results show that MSC is more robust than cross correlation when the sample size is small. In monkey neural data test, our approach is more effective in detecting the dynamics of functional connectivity associated with the transitions between rest and movement states.
authors.affiliation: Department of Electrical Engineering, University of Florida, Gainesville, Florida 32611, USA. linli@cnel.ufl.edu
authors.forename: Lin
authors.initials: L
authors.lastname: Li
authors.forename: Il
authors.initials: I
authors.lastname: Park
authors.forename: Sohan
authors.initials: S
authors.lastname: Seth
authors.forename: Justin C
authors.initials: JC
authors.lastname: Sanchez
authors.forename: Jose C
authors.initials: JC
authors.lastname: Principe
mesh_terms: D000200:Action Potentials; D000465:Algorithms; D000818:Animals; D002540:Cerebral Cortex / Q000166:cytology / Q000502:physiology*; D000882:Haplorhini / Q000502:physiology*; D009474:Neurons / Q000502:physiology*