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

Abstract Interneurons are important for computation in the brain, in particular, in the information processing involving the generation of theta oscillations in the hippocampus. Yet the functional role of interneurons in the theta generation remains to be elucidated. Here we use time-delayed mutual...

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Autores principales:	Songting Li, Jiamin Xu, Guifen Chen, Longnian Lin, Douglas Zhou, David Cai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/11e3499ed81f4b35a634a45579a6ab81
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spelling	oai:doaj.org-article:11e3499ed81f4b35a634a45579a6ab812021-12-02T16:06:36ZThe characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach10.1038/s41598-017-05527-22045-2322https://doaj.org/article/11e3499ed81f4b35a634a45579a6ab812017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05527-2https://doaj.org/toc/2045-2322Abstract Interneurons are important for computation in the brain, in particular, in the information processing involving the generation of theta oscillations in the hippocampus. Yet the functional role of interneurons in the theta generation remains to be elucidated. Here we use time-delayed mutual information to investigate information flow related to a special class of interneurons—theta-driving neurons in the hippocampal CA1 region of the mouse—to characterize the interactions between theta-driving neurons and theta oscillations. For freely behaving mice, our results show that information flows from the activity of theta-driving neurons to the theta wave, and the firing activity of theta-driving neurons shares a substantial amount of information with the theta wave regardless of behavioral states. Via realistic simulations of a CA1 pyramidal neuron, we further demonstrate that theta-driving neurons possess the characteristics of the cholecystokinin-expressing basket cells (CCK-BC). Our results suggest that it is important to take into account the role of CCK-BC in the generation and information processing of theta oscillations.Songting LiJiamin XuGuifen ChenLongnian LinDouglas ZhouDavid CaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Songting Li Jiamin Xu Guifen Chen Longnian Lin Douglas Zhou David Cai The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach
description	Abstract Interneurons are important for computation in the brain, in particular, in the information processing involving the generation of theta oscillations in the hippocampus. Yet the functional role of interneurons in the theta generation remains to be elucidated. Here we use time-delayed mutual information to investigate information flow related to a special class of interneurons—theta-driving neurons in the hippocampal CA1 region of the mouse—to characterize the interactions between theta-driving neurons and theta oscillations. For freely behaving mice, our results show that information flows from the activity of theta-driving neurons to the theta wave, and the firing activity of theta-driving neurons shares a substantial amount of information with the theta wave regardless of behavioral states. Via realistic simulations of a CA1 pyramidal neuron, we further demonstrate that theta-driving neurons possess the characteristics of the cholecystokinin-expressing basket cells (CCK-BC). Our results suggest that it is important to take into account the role of CCK-BC in the generation and information processing of theta oscillations.
format	article
author	Songting Li Jiamin Xu Guifen Chen Longnian Lin Douglas Zhou David Cai
author_facet	Songting Li Jiamin Xu Guifen Chen Longnian Lin Douglas Zhou David Cai
author_sort	Songting Li
title	The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach
title_short	The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach
title_full	The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach
title_fullStr	The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach
title_full_unstemmed	The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach
title_sort	characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/11e3499ed81f4b35a634a45579a6ab81
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The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach

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