Literature DB >> 22416017

Hippocampal theta-driving cells revealed by Granger causality.

Lu Zhang1, Guifen Chen, Ruifang Niu, Wei Wei, Xiaoyu Ma, Jiamin Xu, Jingyi Wang, Zhiru Wang, Longnian Lin.   

Abstract

The two-dipole model of theta generation in hippocampal CA1 suggests that the inhibitory perisomatic theta dipole is generated by local GABAergic interneurons. Various CA1 interneurons fire preferentially at different theta phases, raising the question of how these theta-locked interneurons contribute to the generation of theta oscillations. We here recorded interneurons in the hippocampal CA1 area of freely behaving mice, and identified a unique subset of theta-locked interneurons by using the Granger causality approach. These cells fired in an extremely reliable theta-burst pattern at high firing rates (∼90 Hz) during exploration and always locked to ascending phases of the theta waves. Among theta-locked interneurons we recorded, only these cells generated strong Granger causal influences on local field potential (LFP) signals within the theta band (4-12 Hz), and the influences were persistent across behavioral states. Our results suggest that this unique type of theta-locked interneurons serve as the local inhibitory theta dipole control cells in shaping hippocampal theta oscillations.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22416017     DOI: 10.1002/hipo.22012

Source DB:  PubMed          Journal:  Hippocampus        ISSN: 1050-9631            Impact factor:   3.899


  10 in total

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4.  The characterization of hippocampal theta-driving neurons - a time-delayed mutual information approach.

Authors:  Songting Li; Jiamin Xu; Guifen Chen; Longnian Lin; Douglas Zhou; David Cai
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Journal:  Sci Rep       Date:  2015-07-27       Impact factor: 4.379

9.  Temporal redistribution of inhibition over neuronal subcellular domains underlies state-dependent rhythmic change of excitability in the hippocampus.

Authors:  Peter Somogyi; Linda Katona; Thomas Klausberger; Bálint Lasztóczi; Tim J Viney
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

10.  Inferring correlations associated to causal interactions in brain signals using autoregressive models.

Authors:  Víctor J López-Madrona; Fernanda S Matias; Claudio R Mirasso; Santiago Canals; Ernesto Pereda
Journal:  Sci Rep       Date:  2019-11-19       Impact factor: 4.379

  10 in total

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