From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data
Based on the fluctuations ensembled over neighbouring neurons, blood oxygen level‐dependent (BOLD) signal is a mesoscale measurement of brain signals. Intraregional temporal features (IRTFs) of BOLD signal, extracted from regional neural activities, are utilized to investigate how the brain function...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203790/ https://www.ncbi.nlm.nih.gov/pubmed/37086446 http://dx.doi.org/10.1002/hbm.26302 |
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author | Wang, Bolong Chen, Yaojing Chen, Kewei Lu, Hui Zhang, Zhanjun |
author_facet | Wang, Bolong Chen, Yaojing Chen, Kewei Lu, Hui Zhang, Zhanjun |
author_sort | Wang, Bolong |
collection | PubMed |
description | Based on the fluctuations ensembled over neighbouring neurons, blood oxygen level‐dependent (BOLD) signal is a mesoscale measurement of brain signals. Intraregional temporal features (IRTFs) of BOLD signal, extracted from regional neural activities, are utilized to investigate how the brain functions in local brain areas. This literature highlights four types of IRTFs and their representative calculations including variability in the temporal domain, variability in the frequency domain, entropy, and intrinsic neural timescales, which are tightly related to cognitions. In the brain‐wide spatial organization, these brain features generally organized into two spatial hierarchies, reflecting structural constraints of regional dynamics and hierarchical functional processing workflow in brain. Meanwhile, the spatial organization gives rise to the link between neuronal properties and cognitive performance. Disrupted or unbalanced spatial conditions of IRTFs emerge with suboptimal cognitive states, which improved our understanding of the aging process and/or neuropathology of brain disease. This review concludes that IRTFs are important properties of the brain functional system and IRTFs should be considered in a brain‐wide manner. |
format | Online Article Text |
id | pubmed-10203790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102037902023-05-24 From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data Wang, Bolong Chen, Yaojing Chen, Kewei Lu, Hui Zhang, Zhanjun Hum Brain Mapp Review Article Based on the fluctuations ensembled over neighbouring neurons, blood oxygen level‐dependent (BOLD) signal is a mesoscale measurement of brain signals. Intraregional temporal features (IRTFs) of BOLD signal, extracted from regional neural activities, are utilized to investigate how the brain functions in local brain areas. This literature highlights four types of IRTFs and their representative calculations including variability in the temporal domain, variability in the frequency domain, entropy, and intrinsic neural timescales, which are tightly related to cognitions. In the brain‐wide spatial organization, these brain features generally organized into two spatial hierarchies, reflecting structural constraints of regional dynamics and hierarchical functional processing workflow in brain. Meanwhile, the spatial organization gives rise to the link between neuronal properties and cognitive performance. Disrupted or unbalanced spatial conditions of IRTFs emerge with suboptimal cognitive states, which improved our understanding of the aging process and/or neuropathology of brain disease. This review concludes that IRTFs are important properties of the brain functional system and IRTFs should be considered in a brain‐wide manner. John Wiley & Sons, Inc. 2023-04-22 /pmc/articles/PMC10203790/ /pubmed/37086446 http://dx.doi.org/10.1002/hbm.26302 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Article Wang, Bolong Chen, Yaojing Chen, Kewei Lu, Hui Zhang, Zhanjun From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data |
title | From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data |
title_full | From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data |
title_fullStr | From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data |
title_full_unstemmed | From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data |
title_short | From local properties to brain‐wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data |
title_sort | from local properties to brain‐wide organization: a review of intraregional temporal features in functional magnetic resonance imaging data |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203790/ https://www.ncbi.nlm.nih.gov/pubmed/37086446 http://dx.doi.org/10.1002/hbm.26302 |
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