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State-related neural influences on fMRI connectivity estimation
The spatiotemporal structure of functional magnetic resonance imaging (fMRI) signals has provided a valuable window into the network underpinnings of human brain function and dysfunction. Although some cross-regional temporal correlation patterns (functional connectivity; FC) exhibit a high degree o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815005/ https://www.ncbi.nlm.nih.gov/pubmed/34560268 http://dx.doi.org/10.1016/j.neuroimage.2021.118590 |
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author | Martin, Caroline G. He, Biyu J. Chang, Catie |
author_facet | Martin, Caroline G. He, Biyu J. Chang, Catie |
author_sort | Martin, Caroline G. |
collection | PubMed |
description | The spatiotemporal structure of functional magnetic resonance imaging (fMRI) signals has provided a valuable window into the network underpinnings of human brain function and dysfunction. Although some cross-regional temporal correlation patterns (functional connectivity; FC) exhibit a high degree of stability across individuals and species, there is growing acknowledgment that measures of FC can exhibit marked changes over a range of temporal scales. Further, FC can covary with experimental task demands and ongoing neural processes linked to arousal, consciousness and perception, cognitive and affective state, and brain-body interactions. The increased recognition that such interrelated neural processes modulate FC measurements has raised both challenges and new opportunities in using FC to investigate brain function. Here, we review recent advances in the quantification of neural effects that shape fMRI FC and discuss the broad implications of these findings in the design and analysis of fMRI studies. We also discuss how a more complete understanding of the neural factors that shape FC measurements can resolve apparent inconsistencies in the literature and lead to more interpretable conclusions from fMRI studies. |
format | Online Article Text |
id | pubmed-8815005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-88150052022-02-04 State-related neural influences on fMRI connectivity estimation Martin, Caroline G. He, Biyu J. Chang, Catie Neuroimage Article The spatiotemporal structure of functional magnetic resonance imaging (fMRI) signals has provided a valuable window into the network underpinnings of human brain function and dysfunction. Although some cross-regional temporal correlation patterns (functional connectivity; FC) exhibit a high degree of stability across individuals and species, there is growing acknowledgment that measures of FC can exhibit marked changes over a range of temporal scales. Further, FC can covary with experimental task demands and ongoing neural processes linked to arousal, consciousness and perception, cognitive and affective state, and brain-body interactions. The increased recognition that such interrelated neural processes modulate FC measurements has raised both challenges and new opportunities in using FC to investigate brain function. Here, we review recent advances in the quantification of neural effects that shape fMRI FC and discuss the broad implications of these findings in the design and analysis of fMRI studies. We also discuss how a more complete understanding of the neural factors that shape FC measurements can resolve apparent inconsistencies in the literature and lead to more interpretable conclusions from fMRI studies. 2021-12-01 2021-09-21 /pmc/articles/PMC8815005/ /pubmed/34560268 http://dx.doi.org/10.1016/j.neuroimage.2021.118590 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Article Martin, Caroline G. He, Biyu J. Chang, Catie State-related neural influences on fMRI connectivity estimation |
title | State-related neural influences on fMRI connectivity estimation |
title_full | State-related neural influences on fMRI connectivity estimation |
title_fullStr | State-related neural influences on fMRI connectivity estimation |
title_full_unstemmed | State-related neural influences on fMRI connectivity estimation |
title_short | State-related neural influences on fMRI connectivity estimation |
title_sort | state-related neural influences on fmri connectivity estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815005/ https://www.ncbi.nlm.nih.gov/pubmed/34560268 http://dx.doi.org/10.1016/j.neuroimage.2021.118590 |
work_keys_str_mv | AT martincarolineg staterelatedneuralinfluencesonfmriconnectivityestimation AT hebiyuj staterelatedneuralinfluencesonfmriconnectivityestimation AT changcatie staterelatedneuralinfluencesonfmriconnectivityestimation |