title: Rhythms of the brain: an examination of mixed mode oscillation approaches to the analysis of neurophysiological data.
abstract: In the nervous system many behaviorally relevant dynamical processes are characterized by episodes of complex oscillatory states, whose periodicity may be expressed over multiple temporal and spatial scales. In at least some of these instances the variability in oscillatory amplitude and frequency can be explained in terms of deterministic dynamics, rather than being purely noise-driven. Recently interest has increased in studying the application of mixed-mode oscillations (MMOs) to neurophysiological data. MMOs are complex periodic waveforms where each period is comprised of several maxima and minima of different amplitudes. While MMOs might be expected to occur in brain kinetics, only a few examples have been identified thus far. In this article, we review recent theoretical and experimental findings on brain oscillatory rhythms in relation to MMOs, focusing on examples at the single neuron level but also briefly touching on possible instances of the phenomenon across local and global brain networks.
authors: Institute for Adaptive and Neural Computation, School of Informatics and Centre of Neuroscience Research, University of Edinburgh, 5 Forrest Hill Road, Edinburgh EH1 2QL, United Kingdom.
authors: Irina
authors: I
authors: Erchova
authors: David J
authors: DJ
authors: McGonigle
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D001683:Biological Clocks / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004562:Electrocardiography / Q000379:methods; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D009482:Neurophysiology / Q000379:methods; D010507:Periodicity