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Topographic gradients of intrinsic dynamics across neocortex
The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and macroscale connectome architecture. Here we comprehensively characterize the rich temporal patterns of neural activity throughout the human brain. Applying massive temporal feature extraction to regional haem...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771969/ https://www.ncbi.nlm.nih.gov/pubmed/33331819 http://dx.doi.org/10.7554/eLife.62116 |
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author | Shafiei, Golia Markello, Ross D Vos de Wael, Reinder Bernhardt, Boris C Fulcher, Ben D Misic, Bratislav |
author_facet | Shafiei, Golia Markello, Ross D Vos de Wael, Reinder Bernhardt, Boris C Fulcher, Ben D Misic, Bratislav |
author_sort | Shafiei, Golia |
collection | PubMed |
description | The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and macroscale connectome architecture. Here we comprehensively characterize the rich temporal patterns of neural activity throughout the human brain. Applying massive temporal feature extraction to regional haemodynamic activity, we systematically estimate over 6000 statistical properties of individual brain regions’ time-series across the neocortex. We identify two robust spatial gradients of intrinsic dynamics, one spanning a ventromedial-dorsolateral axis and dominated by measures of signal autocorrelation, and the other spanning a unimodal-transmodal axis and dominated by measures of dynamic range. These gradients reflect spatial patterns of gene expression, intracortical myelin and cortical thickness, as well as structural and functional network embedding. Importantly, these gradients are correlated with patterns of meta-analytic functional activation, differentiating cognitive versus affective processing and sensory versus higher-order cognitive processing. Altogether, these findings demonstrate a link between microscale and macroscale architecture, intrinsic dynamics, and cognition. |
format | Online Article Text |
id | pubmed-7771969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77719692020-12-30 Topographic gradients of intrinsic dynamics across neocortex Shafiei, Golia Markello, Ross D Vos de Wael, Reinder Bernhardt, Boris C Fulcher, Ben D Misic, Bratislav eLife Neuroscience The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and macroscale connectome architecture. Here we comprehensively characterize the rich temporal patterns of neural activity throughout the human brain. Applying massive temporal feature extraction to regional haemodynamic activity, we systematically estimate over 6000 statistical properties of individual brain regions’ time-series across the neocortex. We identify two robust spatial gradients of intrinsic dynamics, one spanning a ventromedial-dorsolateral axis and dominated by measures of signal autocorrelation, and the other spanning a unimodal-transmodal axis and dominated by measures of dynamic range. These gradients reflect spatial patterns of gene expression, intracortical myelin and cortical thickness, as well as structural and functional network embedding. Importantly, these gradients are correlated with patterns of meta-analytic functional activation, differentiating cognitive versus affective processing and sensory versus higher-order cognitive processing. Altogether, these findings demonstrate a link between microscale and macroscale architecture, intrinsic dynamics, and cognition. eLife Sciences Publications, Ltd 2020-12-17 /pmc/articles/PMC7771969/ /pubmed/33331819 http://dx.doi.org/10.7554/eLife.62116 Text en © 2020, Shafiei et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Shafiei, Golia Markello, Ross D Vos de Wael, Reinder Bernhardt, Boris C Fulcher, Ben D Misic, Bratislav Topographic gradients of intrinsic dynamics across neocortex |
title | Topographic gradients of intrinsic dynamics across neocortex |
title_full | Topographic gradients of intrinsic dynamics across neocortex |
title_fullStr | Topographic gradients of intrinsic dynamics across neocortex |
title_full_unstemmed | Topographic gradients of intrinsic dynamics across neocortex |
title_short | Topographic gradients of intrinsic dynamics across neocortex |
title_sort | topographic gradients of intrinsic dynamics across neocortex |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771969/ https://www.ncbi.nlm.nih.gov/pubmed/33331819 http://dx.doi.org/10.7554/eLife.62116 |
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