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Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain

Intrinsic timescales of activity fluctuations vary hierarchically across the brain. This variation reflects a broad gradient of functional specialization in information storage and processing, with integrative association areas displaying slower timescales that are thought to reflect longer temporal...

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Autores principales: Fallon, John, Ward, Phillip G. D., Parkes, Linden, Oldham, Stuart, Arnatkevičiūtė, Aurina, Fornito, Alex, Fulcher, Ben D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888482/
https://www.ncbi.nlm.nih.gov/pubmed/33615091
http://dx.doi.org/10.1162/netn_a_00151
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author Fallon, John
Ward, Phillip G. D.
Parkes, Linden
Oldham, Stuart
Arnatkevičiūtė, Aurina
Fornito, Alex
Fulcher, Ben D.
author_facet Fallon, John
Ward, Phillip G. D.
Parkes, Linden
Oldham, Stuart
Arnatkevičiūtė, Aurina
Fornito, Alex
Fulcher, Ben D.
author_sort Fallon, John
collection PubMed
description Intrinsic timescales of activity fluctuations vary hierarchically across the brain. This variation reflects a broad gradient of functional specialization in information storage and processing, with integrative association areas displaying slower timescales that are thought to reflect longer temporal processing windows. The organization of timescales is associated with cognitive function, distinctive between individuals, and disrupted in disease, but we do not yet understand how the temporal properties of activity dynamics are shaped by the brain’s underlying structural connectivity network. Using resting-state fMRI and diffusion MRI data from 100 healthy individuals from the Human Connectome Project, here we show that the timescale of resting-state fMRI dynamics increases with structural connectivity strength, matching recent results in the mouse brain. Our results hold at the level of individuals, are robust to parcellation schemes, and are conserved across a range of different timescale- related statistics. We establish a comprehensive BOLD dynamical signature of structural connectivity strength by comparing over 6,000 time series features, highlighting a range of new temporal features for characterizing BOLD dynamics, including measures of stationarity and symbolic motif frequencies. Our findings indicate a conserved property of mouse and human brain organization in which a brain region’s spontaneous activity fluctuations are closely related to their surrounding structural scaffold.
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spelling pubmed-78884822021-02-19 Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain Fallon, John Ward, Phillip G. D. Parkes, Linden Oldham, Stuart Arnatkevičiūtė, Aurina Fornito, Alex Fulcher, Ben D. Netw Neurosci Research Articles Intrinsic timescales of activity fluctuations vary hierarchically across the brain. This variation reflects a broad gradient of functional specialization in information storage and processing, with integrative association areas displaying slower timescales that are thought to reflect longer temporal processing windows. The organization of timescales is associated with cognitive function, distinctive between individuals, and disrupted in disease, but we do not yet understand how the temporal properties of activity dynamics are shaped by the brain’s underlying structural connectivity network. Using resting-state fMRI and diffusion MRI data from 100 healthy individuals from the Human Connectome Project, here we show that the timescale of resting-state fMRI dynamics increases with structural connectivity strength, matching recent results in the mouse brain. Our results hold at the level of individuals, are robust to parcellation schemes, and are conserved across a range of different timescale- related statistics. We establish a comprehensive BOLD dynamical signature of structural connectivity strength by comparing over 6,000 time series features, highlighting a range of new temporal features for characterizing BOLD dynamics, including measures of stationarity and symbolic motif frequencies. Our findings indicate a conserved property of mouse and human brain organization in which a brain region’s spontaneous activity fluctuations are closely related to their surrounding structural scaffold. MIT Press 2020-09-01 /pmc/articles/PMC7888482/ /pubmed/33615091 http://dx.doi.org/10.1162/netn_a_00151 Text en © 2020 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
spellingShingle Research Articles
Fallon, John
Ward, Phillip G. D.
Parkes, Linden
Oldham, Stuart
Arnatkevičiūtė, Aurina
Fornito, Alex
Fulcher, Ben D.
Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
title Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
title_full Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
title_fullStr Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
title_full_unstemmed Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
title_short Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
title_sort timescales of spontaneous fmri fluctuations relate to structural connectivity in the brain
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888482/
https://www.ncbi.nlm.nih.gov/pubmed/33615091
http://dx.doi.org/10.1162/netn_a_00151
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