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Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain
Hierarchical temporal dynamics are a fundamental computational property of the brain; however, there are no whole brain, noninvasive investigations into timescales of neural processing in animal models. To that end, we used the spatial resolution and sensitivity of ultrahigh field functional magneti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923667/ https://www.ncbi.nlm.nih.gov/pubmed/35234612 http://dx.doi.org/10.7554/eLife.75540 |
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author | Manea, Ana MG Zilverstand, Anna Ugurbil, Kamil Heilbronner, Sarah R Zimmermann, Jan |
author_facet | Manea, Ana MG Zilverstand, Anna Ugurbil, Kamil Heilbronner, Sarah R Zimmermann, Jan |
author_sort | Manea, Ana MG |
collection | PubMed |
description | Hierarchical temporal dynamics are a fundamental computational property of the brain; however, there are no whole brain, noninvasive investigations into timescales of neural processing in animal models. To that end, we used the spatial resolution and sensitivity of ultrahigh field functional magnetic resonance imaging (fMRI) performed at 10.5 T to probe timescales across the whole macaque brain. We uncovered within-species consistency between timescales estimated from fMRI and electrophysiology. Crucially, we extended existing electrophysiological hierarchies to whole-brain topographies. Our results validate the complementary use of hemodynamic and electrophysiological intrinsic timescales, establishing a basis for future translational work. Further, with these results in hand, we were able to show that one facet of the high-dimensional functional connectivity (FC) topography of any region in the brain is closely related to hierarchical temporal dynamics. We demonstrated that intrinsic timescales are organized along spatial gradients that closely match FC gradient topographies across the whole brain. We conclude that intrinsic timescales are a unifying organizational principle of neural processing across the whole brain. |
format | Online Article Text |
id | pubmed-8923667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-89236672022-03-16 Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain Manea, Ana MG Zilverstand, Anna Ugurbil, Kamil Heilbronner, Sarah R Zimmermann, Jan eLife Neuroscience Hierarchical temporal dynamics are a fundamental computational property of the brain; however, there are no whole brain, noninvasive investigations into timescales of neural processing in animal models. To that end, we used the spatial resolution and sensitivity of ultrahigh field functional magnetic resonance imaging (fMRI) performed at 10.5 T to probe timescales across the whole macaque brain. We uncovered within-species consistency between timescales estimated from fMRI and electrophysiology. Crucially, we extended existing electrophysiological hierarchies to whole-brain topographies. Our results validate the complementary use of hemodynamic and electrophysiological intrinsic timescales, establishing a basis for future translational work. Further, with these results in hand, we were able to show that one facet of the high-dimensional functional connectivity (FC) topography of any region in the brain is closely related to hierarchical temporal dynamics. We demonstrated that intrinsic timescales are organized along spatial gradients that closely match FC gradient topographies across the whole brain. We conclude that intrinsic timescales are a unifying organizational principle of neural processing across the whole brain. eLife Sciences Publications, Ltd 2022-03-02 /pmc/articles/PMC8923667/ /pubmed/35234612 http://dx.doi.org/10.7554/eLife.75540 Text en © 2022, Manea et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Manea, Ana MG Zilverstand, Anna Ugurbil, Kamil Heilbronner, Sarah R Zimmermann, Jan Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain |
title | Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain |
title_full | Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain |
title_fullStr | Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain |
title_full_unstemmed | Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain |
title_short | Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain |
title_sort | intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923667/ https://www.ncbi.nlm.nih.gov/pubmed/35234612 http://dx.doi.org/10.7554/eLife.75540 |
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