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Title: Inhibitory neurons exhibit high controlling ability in the cortical microconnectome
Authors: Kajiwara, Motoki
Nomura, Ritsuki
Goetze, Felix
Kawabata, Masanori
Isomura, Yoshikazu
Akutsu, Tatsuya  kyouindb  KAKEN_id  orcid (unconfirmed)
Shimono, Masanori  kyouindb  KAKEN_id
Author's alias: 梶原, 基
野村, 凛月
川端, 政則
礒村, 宜和
阿久津, 達也
下野, 昌宣
Issue Date: Apr-2021
Publisher: Public Library of Science (PLoS)
Journal title: PLOS Computational Biology
Volume: 17
Issue: 4
Thesis number: e1008846
Abstract: 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.
Description: 脳が安定して活動を続けられるメカニズムの一端を解明 --新皮質で、抑制性細胞は他細胞を制御しやすいトポロジカルな位置取りをする--. 京都大学プレスリリース. 2021-04-09.
Rights: © 2021 Kajiwara et al.
This is an open access article distributed under the terms of the Creative Commons Attribution License (Creative Commons Attribution 4.0 International Public License), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI(Published Version): 10.1371/journal.pcbi.1008846
PubMed ID: 33831009
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