Literature DB >> 17314301

Synchronization of electrically coupled pairs of inhibitory interneurons in neocortex.

Jaime G Mancilla1, Timothy J Lewis, David J Pinto, John Rinzel, Barry W Connors.   

Abstract

We performed a systematic analysis of phase locking in pairs of electrically coupled neocortical fast-spiking (FS) and low-threshold-spiking (LTS) interneurons and in a conductance-based model of a pair of FS cells. Phase-response curves (PRCs) were obtained for real interneurons and the model cells. We used PRCs and the theory of weakly coupled oscillators to make predictions about phase-locking characteristics of cell pairs. Phase locking and the robustness of phase-locked states to differences in intrinsic frequencies of cells were directly examined by driving interneuron pairs through a wide range of firing frequencies. Calculations using PRCs accurately predicted that electrical coupling robustly synchronized the firing of interneurons over all frequencies studied (FS, approximately 25-80 Hz; LTS, approximately 10-30 Hz). The synchronizing ability of electrical coupling and the robustness of the phase-locked states were directly dependent on the strength of coupling but not on firing frequency. The FS cell model also predicted the existence of stable antiphase firing at frequencies below approximately 30 Hz, but no evidence for stable antiphase firing was found using the experimentally determined PRCs or in direct measures of phase locking in pairs of interneurons. Despite significant differences in biophysical properties of FS and LTS cells, their phase-locking behavior was remarkably similar. The wide spikes and shallow action potential afterhyperpolarizations of interneurons, compared with the model, prohibited antiphase behavior. Electrical coupling between cortical interneurons of the same type maintained robust synchronous firing of cell pairs for up to approximately 10% heterogeneity in their intrinsic frequencies.

Mesh:

Year:  2007        PMID: 17314301      PMCID: PMC6673558          DOI: 10.1523/JNEUROSCI.2715-06.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  80 in total

1.  Electrical and chemical synapses between relay neurons in developing thalamus.

Authors:  Seung-Chan Lee; Scott J Cruikshank; Barry W Connors
Journal:  J Physiol       Date:  2010-05-10       Impact factor: 5.182

2.  Phase response curves of subthalamic neurons measured with synaptic input and current injection.

Authors:  Michael A Farries; Charles J Wilson
Journal:  J Neurophysiol       Date:  2012-07-11       Impact factor: 2.714

Review 3.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

4.  Phase-response curves and synchronized neural networks.

Authors:  Roy M Smeal; G Bard Ermentrout; John A White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

5.  Engineering the synchronization of neuron action potentials using global time-delayed feedback stimulation.

Authors:  Craig G Rusin; Sarah E Johnson; Jaideep Kapur; John L Hudson
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-12-06

6.  Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.

Authors:  Peter Ashwin; Stephen Coombes; Rachel Nicks
Journal:  J Math Neurosci       Date:  2016-01-06       Impact factor: 1.300

7.  A population of gap junction-coupled neurons drives recurrent network activity in a developing visual circuit.

Authors:  Zhenyu Liu; Christopher M Ciarleglio; Ali S Hamodi; Carlos D Aizenman; Kara G Pratt
Journal:  J Neurophysiol       Date:  2016-01-13       Impact factor: 2.714

8.  Functional phase response curves: a method for understanding synchronization of adapting neurons.

Authors:  Jianxia Cui; Carmen C Canavier; Robert J Butera
Journal:  J Neurophysiol       Date:  2009-05-06       Impact factor: 2.714

9.  Neuronal synchrony: peculiarity and generality.

Authors:  Thomas Nowotny; Ramon Huerta; Mikhail I Rabinovich
Journal:  Chaos       Date:  2008-09       Impact factor: 3.642

Review 10.  Inhibitory Interneurons Regulate Temporal Precision and Correlations in Cortical Circuits.

Authors:  Jessica A Cardin
Journal:  Trends Neurosci       Date:  2018-09-25       Impact factor: 13.837

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.