Cargando…
Inhibitory neurons exhibit high controlling ability in the cortical microconnectome
The brain is a network system in which excitatory and inhibitory neurons keep activity balanced in the highly non-random connectivity pattern of the microconnectome. It is well known that the relative percentage of inhibitory neurons is much smaller than excitatory neurons in the cortex. So, in gene...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031186/ https://www.ncbi.nlm.nih.gov/pubmed/33831009 http://dx.doi.org/10.1371/journal.pcbi.1008846 |
_version_ | 1783676141758840832 |
---|---|
author | Kajiwara, Motoki Nomura, Ritsuki Goetze, Felix Kawabata, Masanori Isomura, Yoshikazu Akutsu, Tatsuya Shimono, Masanori |
author_facet | Kajiwara, Motoki Nomura, Ritsuki Goetze, Felix Kawabata, Masanori Isomura, Yoshikazu Akutsu, Tatsuya Shimono, Masanori |
author_sort | Kajiwara, Motoki |
collection | PubMed |
description | The brain is a network system in which excitatory and inhibitory neurons keep activity balanced in the highly non-random connectivity pattern of the microconnectome. It is well known that the relative percentage of inhibitory neurons is much smaller than excitatory neurons in the cortex. So, in general, how inhibitory neurons can keep the balance with the surrounding excitatory neurons is an important question. There is much accumulated knowledge about this fundamental question. This study quantitatively evaluated the relatively higher functional contribution of inhibitory neurons in terms of not only properties of individual neurons, such as firing rate, but also in terms of topological mechanisms and controlling ability on other excitatory neurons. We combined simultaneous electrical recording (~2.5 hours) of ~1000 neurons in vitro, and quantitative evaluation of neuronal interactions including excitatory-inhibitory categorization. This study accurately defined recording brain anatomical targets, such as brain regions and cortical layers, by inter-referring MRI and immunostaining recordings. The interaction networks enabled us to quantify topological influence of individual neurons, in terms of controlling ability to other neurons. Especially, the result indicated that highly influential inhibitory neurons show higher controlling ability of other neurons than excitatory neurons, and are relatively often distributed in deeper layers of the cortex. Furthermore, the neurons having high controlling ability are more effectively limited in number than central nodes of k-cores, and these neurons also participate in more clustered motifs. In summary, this study suggested that the high controlling ability of inhibitory neurons is a key mechanism to keep balance with a large number of other excitatory neurons beyond simple higher firing rate. Application of the selection method of limited important neurons would be also applicable for the ability to effectively and selectively stimulate E/I imbalanced disease states. |
format | Online Article Text |
id | pubmed-8031186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80311862021-04-14 Inhibitory neurons exhibit high controlling ability in the cortical microconnectome Kajiwara, Motoki Nomura, Ritsuki Goetze, Felix Kawabata, Masanori Isomura, Yoshikazu Akutsu, Tatsuya Shimono, Masanori PLoS Comput Biol Research Article The brain is a network system in which excitatory and inhibitory neurons keep activity balanced in the highly non-random connectivity pattern of the microconnectome. It is well known that the relative percentage of inhibitory neurons is much smaller than excitatory neurons in the cortex. So, in general, how inhibitory neurons can keep the balance with the surrounding excitatory neurons is an important question. There is much accumulated knowledge about this fundamental question. This study quantitatively evaluated the relatively higher functional contribution of inhibitory neurons in terms of not only properties of individual neurons, such as firing rate, but also in terms of topological mechanisms and controlling ability on other excitatory neurons. We combined simultaneous electrical recording (~2.5 hours) of ~1000 neurons in vitro, and quantitative evaluation of neuronal interactions including excitatory-inhibitory categorization. This study accurately defined recording brain anatomical targets, such as brain regions and cortical layers, by inter-referring MRI and immunostaining recordings. The interaction networks enabled us to quantify topological influence of individual neurons, in terms of controlling ability to other neurons. Especially, the result indicated that highly influential inhibitory neurons show higher controlling ability of other neurons than excitatory neurons, and are relatively often distributed in deeper layers of the cortex. Furthermore, the neurons having high controlling ability are more effectively limited in number than central nodes of k-cores, and these neurons also participate in more clustered motifs. In summary, this study suggested that the high controlling ability of inhibitory neurons is a key mechanism to keep balance with a large number of other excitatory neurons beyond simple higher firing rate. Application of the selection method of limited important neurons would be also applicable for the ability to effectively and selectively stimulate E/I imbalanced disease states. Public Library of Science 2021-04-08 /pmc/articles/PMC8031186/ /pubmed/33831009 http://dx.doi.org/10.1371/journal.pcbi.1008846 Text en © 2021 Kajiwara et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kajiwara, Motoki Nomura, Ritsuki Goetze, Felix Kawabata, Masanori Isomura, Yoshikazu Akutsu, Tatsuya Shimono, Masanori Inhibitory neurons exhibit high controlling ability in the cortical microconnectome |
title | Inhibitory neurons exhibit high controlling ability in the cortical microconnectome |
title_full | Inhibitory neurons exhibit high controlling ability in the cortical microconnectome |
title_fullStr | Inhibitory neurons exhibit high controlling ability in the cortical microconnectome |
title_full_unstemmed | Inhibitory neurons exhibit high controlling ability in the cortical microconnectome |
title_short | Inhibitory neurons exhibit high controlling ability in the cortical microconnectome |
title_sort | inhibitory neurons exhibit high controlling ability in the cortical microconnectome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031186/ https://www.ncbi.nlm.nih.gov/pubmed/33831009 http://dx.doi.org/10.1371/journal.pcbi.1008846 |
work_keys_str_mv | AT kajiwaramotoki inhibitoryneuronsexhibithighcontrollingabilityinthecorticalmicroconnectome AT nomuraritsuki inhibitoryneuronsexhibithighcontrollingabilityinthecorticalmicroconnectome AT goetzefelix inhibitoryneuronsexhibithighcontrollingabilityinthecorticalmicroconnectome AT kawabatamasanori inhibitoryneuronsexhibithighcontrollingabilityinthecorticalmicroconnectome AT isomurayoshikazu inhibitoryneuronsexhibithighcontrollingabilityinthecorticalmicroconnectome AT akutsutatsuya inhibitoryneuronsexhibithighcontrollingabilityinthecorticalmicroconnectome AT shimonomasanori inhibitoryneuronsexhibithighcontrollingabilityinthecorticalmicroconnectome |