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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Bolong, Chen, Yaojing, Chen, Kewei, Lu, Hui, Zhang, Zhanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
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
_version_ 1785045707029217280
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
work_keys_str_mv AT wangbolong fromlocalpropertiestobrainwideorganizationareviewofintraregionaltemporalfeaturesinfunctionalmagneticresonanceimagingdata
AT chenyaojing fromlocalpropertiestobrainwideorganizationareviewofintraregionaltemporalfeaturesinfunctionalmagneticresonanceimagingdata
AT chenkewei fromlocalpropertiestobrainwideorganizationareviewofintraregionaltemporalfeaturesinfunctionalmagneticresonanceimagingdata
AT luhui fromlocalpropertiestobrainwideorganizationareviewofintraregionaltemporalfeaturesinfunctionalmagneticresonanceimagingdata
AT zhangzhanjun fromlocalpropertiestobrainwideorganizationareviewofintraregionaltemporalfeaturesinfunctionalmagneticresonanceimagingdata