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Voxel-Wise Quantitative Mapping of the Brain Association Ability
The association cortices of the brain are essential for integrating multimodal information that subserves complex and high-order cognitive functions. To delineate the changing pattern of associative cortices can provide critical insight into brain development, aging, plasticity, and disease-triggere...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555663/ https://www.ncbi.nlm.nih.gov/pubmed/34720865 http://dx.doi.org/10.3389/fnins.2021.746894 |
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author | Chen, Kai Wang, Lijie Zeng, Jianguang Chen, Ai Gao, Zhao Wang, Jiaojian |
author_facet | Chen, Kai Wang, Lijie Zeng, Jianguang Chen, Ai Gao, Zhao Wang, Jiaojian |
author_sort | Chen, Kai |
collection | PubMed |
description | The association cortices of the brain are essential for integrating multimodal information that subserves complex and high-order cognitive functions. To delineate the changing pattern of associative cortices can provide critical insight into brain development, aging, plasticity, and disease-triggered functional abnormalities. However, how to quantitatively characterize the association capability of the brain is elusive. Here, we developed a new method of association index (Asso) at the voxel level to quantitatively characterize the brain association ability. Using the Asso method, we found high Asso values in association cortical networks, and low values in visual and limbic networks, suggesting a pattern of significant gradient distribution in neural functions. The spatial distribution patterns of Asso show high similarities across different thresholds suggesting that Asso mapping is a threshold-free method. In addition, compared with functional connectivity strength, i.e., degree centrality method, Asso mapping showed different patterns for association cortices and primary cortices. Finally, the Asso method was applied to investigate aging effects and identified similar findings with previous studies. All these results indicated that Asso can characterize the brain association patterns effectively and open a new avenue to reveal a neural basis for development, aging, and brain disorders. |
format | Online Article Text |
id | pubmed-8555663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85556632021-10-30 Voxel-Wise Quantitative Mapping of the Brain Association Ability Chen, Kai Wang, Lijie Zeng, Jianguang Chen, Ai Gao, Zhao Wang, Jiaojian Front Neurosci Neuroscience The association cortices of the brain are essential for integrating multimodal information that subserves complex and high-order cognitive functions. To delineate the changing pattern of associative cortices can provide critical insight into brain development, aging, plasticity, and disease-triggered functional abnormalities. However, how to quantitatively characterize the association capability of the brain is elusive. Here, we developed a new method of association index (Asso) at the voxel level to quantitatively characterize the brain association ability. Using the Asso method, we found high Asso values in association cortical networks, and low values in visual and limbic networks, suggesting a pattern of significant gradient distribution in neural functions. The spatial distribution patterns of Asso show high similarities across different thresholds suggesting that Asso mapping is a threshold-free method. In addition, compared with functional connectivity strength, i.e., degree centrality method, Asso mapping showed different patterns for association cortices and primary cortices. Finally, the Asso method was applied to investigate aging effects and identified similar findings with previous studies. All these results indicated that Asso can characterize the brain association patterns effectively and open a new avenue to reveal a neural basis for development, aging, and brain disorders. Frontiers Media S.A. 2021-10-15 /pmc/articles/PMC8555663/ /pubmed/34720865 http://dx.doi.org/10.3389/fnins.2021.746894 Text en Copyright © 2021 Chen, Wang, Zeng, Chen, Gao and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Chen, Kai Wang, Lijie Zeng, Jianguang Chen, Ai Gao, Zhao Wang, Jiaojian Voxel-Wise Quantitative Mapping of the Brain Association Ability |
title | Voxel-Wise Quantitative Mapping of the Brain Association Ability |
title_full | Voxel-Wise Quantitative Mapping of the Brain Association Ability |
title_fullStr | Voxel-Wise Quantitative Mapping of the Brain Association Ability |
title_full_unstemmed | Voxel-Wise Quantitative Mapping of the Brain Association Ability |
title_short | Voxel-Wise Quantitative Mapping of the Brain Association Ability |
title_sort | voxel-wise quantitative mapping of the brain association ability |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555663/ https://www.ncbi.nlm.nih.gov/pubmed/34720865 http://dx.doi.org/10.3389/fnins.2021.746894 |
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