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Whole-Brain Evaluation of Cortical Microconnectomes
The brain is an organ that functions as a network of many elements connected in a nonuniform manner. In the brain, the neocortex is evolutionarily newest and is thought to be primarily responsible for the high intelligence of mammals. In the mature mammalian brain, all cortical regions are expected...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616907/ https://www.ncbi.nlm.nih.gov/pubmed/37903612 http://dx.doi.org/10.1523/ENEURO.0094-23.2023 |
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author | Matsuda, Kouki Shirakami, Arata Nakajima, Ryota Akutsu, Tatsuya Shimono, Masanori |
author_facet | Matsuda, Kouki Shirakami, Arata Nakajima, Ryota Akutsu, Tatsuya Shimono, Masanori |
author_sort | Matsuda, Kouki |
collection | PubMed |
description | The brain is an organ that functions as a network of many elements connected in a nonuniform manner. In the brain, the neocortex is evolutionarily newest and is thought to be primarily responsible for the high intelligence of mammals. In the mature mammalian brain, all cortical regions are expected to have some degree of homology, but have some variations of local circuits to achieve specific functions performed by individual regions. However, few cellular-level studies have examined how the networks within different cortical regions differ. This study aimed to find rules for systematic changes of connectivity (microconnectomes) across 16 different cortical region groups. We also observed unknown trends in basic parameters in vitro such as firing rate and layer thickness across brain regions. Results revealed that the frontal group shows unique characteristics such as dense active neurons, thick cortex, and strong connections with deeper layers. This suggests the frontal side of the cortex is inherently capable of driving, even in isolation and that frontal nodes provide the driving force generating a global pattern of spontaneous synchronous activity, such as the default mode network. This finding provides a new hypothesis explaining why disruption in the frontal region causes a large impact on mental health. |
format | Online Article Text |
id | pubmed-10616907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-106169072023-11-01 Whole-Brain Evaluation of Cortical Microconnectomes Matsuda, Kouki Shirakami, Arata Nakajima, Ryota Akutsu, Tatsuya Shimono, Masanori eNeuro Research Article: Confirmation The brain is an organ that functions as a network of many elements connected in a nonuniform manner. In the brain, the neocortex is evolutionarily newest and is thought to be primarily responsible for the high intelligence of mammals. In the mature mammalian brain, all cortical regions are expected to have some degree of homology, but have some variations of local circuits to achieve specific functions performed by individual regions. However, few cellular-level studies have examined how the networks within different cortical regions differ. This study aimed to find rules for systematic changes of connectivity (microconnectomes) across 16 different cortical region groups. We also observed unknown trends in basic parameters in vitro such as firing rate and layer thickness across brain regions. Results revealed that the frontal group shows unique characteristics such as dense active neurons, thick cortex, and strong connections with deeper layers. This suggests the frontal side of the cortex is inherently capable of driving, even in isolation and that frontal nodes provide the driving force generating a global pattern of spontaneous synchronous activity, such as the default mode network. This finding provides a new hypothesis explaining why disruption in the frontal region causes a large impact on mental health. Society for Neuroscience 2023-10-25 /pmc/articles/PMC10616907/ /pubmed/37903612 http://dx.doi.org/10.1523/ENEURO.0094-23.2023 Text en Copyright © 2023 Matsuda et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article: Confirmation Matsuda, Kouki Shirakami, Arata Nakajima, Ryota Akutsu, Tatsuya Shimono, Masanori Whole-Brain Evaluation of Cortical Microconnectomes |
title | Whole-Brain Evaluation of Cortical Microconnectomes |
title_full | Whole-Brain Evaluation of Cortical Microconnectomes |
title_fullStr | Whole-Brain Evaluation of Cortical Microconnectomes |
title_full_unstemmed | Whole-Brain Evaluation of Cortical Microconnectomes |
title_short | Whole-Brain Evaluation of Cortical Microconnectomes |
title_sort | whole-brain evaluation of cortical microconnectomes |
topic | Research Article: Confirmation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616907/ https://www.ncbi.nlm.nih.gov/pubmed/37903612 http://dx.doi.org/10.1523/ENEURO.0094-23.2023 |
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