Network burst dynamics under heterogeneous cholinergic modulation of neural firing properties and heterogeneous synaptic connectivity. (6th April 2016)

• Record Type: Journal Article
• Authors: Knudstrup, Scott; Zochowski, Michal; Booth, Victoria
• Editors: Poirazi, Panayiota
• Is Part Of: European journal of neuroscience. Volume 43:Number 10(2016:May)
• Page Start: 1321
• Page End: 1339
• Publication Date: 2016-04-06
• Subjects: acetylcholine -- computational modelling -- M current -- network synchrony -- phase response curve; Nervous system -- Periodicals; 612.8
• DOI: 10.1111/ejn.13210
• Languages: English
• ISSNs: 0953-816X

Abstract

Abstract: The characteristics of neural network activity depend on intrinsic neural properties and synaptic connectivity in the network. In brain networks, both of these properties are critically affected by the type and levels of neuromodulators present. The expression of many of the most powerful neuromodulators, including acetylcholine (ACh), varies tonically and phasically with behavioural state, leading to dynamic, heterogeneous changes in intrinsic neural properties and synaptic connectivity properties. Namely, ACh significantly alters neural firing properties as measured by the phase response curve in a manner that has been shown to alter the propensity for network synchronization. The aim of this simulation study was to build an understanding of how heterogeneity in cholinergic modulation of neural firing properties and heterogeneity in synaptic connectivity affect the initiation and maintenance of synchronous network bursting in excitatory networks. We show that cells that display different levels of ACh modulation have differential roles in generating network activity: weakly modulated cells are necessary for burst initiation and provide synchronizing drive to the rest of the network, whereas strongly modulated cells provide the overall activity level necessary to sustain burst firing. By applying several quantitative measures of network activity, we further show that the existence of network bursting and its characteristics, such as burst duration and intraburst synchrony, are dependent on the fraction of cell types providing the synaptic connections in the network. These results suggest mechanisms underlying ACh modulation of brain oscillations and the modulation of seizure activity during sleep states. Abstract : In heterogeneous excitatory network models composed of neurons with Type I and Type II excitability properties, Type II neurons promoted synchronized activity, while Type I cells were more excitable and provided overall network excitation. Variations in the balance of the synaptic connections between cell types caused dramatic changes in the stereotypic properties of network bursts, elucidating the role of each type of synapse.