title: Hierarchical spike clustering analysis for investigation of interneuron heterogeneity.
abstract: Action potentials represent the output of a neuron. Especially interneurons display a variety of discharge patterns ranging from regular action potential firing to prominent spike clustering or stuttering. The mechanisms underlying this heterogeneity remain incompletely understood. We established hierarchical cluster analysis of spike trains as a measure of spike clustering. A clustering index was calculated from action potential trains recorded in the whole-cell patch clamp configuration from hippocampal (CA1, stratum radiatum) and entorhinal (medial entorhinal cortex, layer 2) interneurons in acute slices and simulated data. Prominent, region-dependent, but also variable spike clustering was detected using this measure. Further analysis revealed a strong positive correlation between spike clustering and membrane potentials oscillations but an inverse correlation with neuronal resonance. Furthermore, clustering was more pronounced when the balance between fast-activating K(+) currents, assessed by the spike repolarisation time, and hyperpolarization-activated currents, gauged by the size of the sag potential, was shifted in favour of fast K(+) currents. Simulations of spike clustering confirmed that variable ratios of fast K(+) and hyperpolarization-activated currents could underlie different degrees of spike clustering and could thus be crucial for temporally structuring interneuron spike output.
authors.affiliation: Institute of Neurophysiology, Charité, Berlin, Germany; Institute of Cellular Neurosciences, University of Bonn Medical School, Bonn, Germany. Electronic address: boehlen@gmail.com.
authors.forename: Anne
authors.initials: A
authors.lastname: Boehlen
authors.affiliation: Institute of Neurophysiology, Charité, Berlin, Germany; Excellence Cluster NeuroCure, Berlin, Germany.
authors.forename: Uwe
authors.initials: U
authors.lastname: Heinemann
authors.affiliation: Institute of Cellular Neurosciences, University of Bonn Medical School, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Institute of Neurology, University College London, London, United Kingdom. Electronic address: christian.henneberger@uni-bonn.de.
authors.forename: Christian
authors.initials: C
authors.lastname: Henneberger
mesh_terms: D000200:Action Potentials; D000818:Animals; D002414:Cations, Monovalent; D016000:Cluster Analysis; D018728:Entorhinal Cortex / Q000166:cytology / Q000502:physiology; D005260:Female; D006624:Hippocampus / Q000166:cytology / Q000502:physiology; D006859:Hydrogen / Q000502:physiology; D066298:In Vitro Techniques; D007395:Interneurons / Q000502:physiology*; D008297:Male; D011188:Potassium / Q000502:physiology; D017208:Rats, Wistar
chemical_list: D002414:Cations, Monovalent; D006859:Hydrogen; D011188:Potassium
keywords: Entorhinal cortex; Hippocampus; Interneuron excitability; Membrane potential oscillations; Resonance; Spike clustering