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Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity
The cerebral cortex is well known to display a large variation in excitatory and inhibitory chemoarchitecture, but the effect of this variation on global scale functional neural communication and synchronization patterns remains less well understood. Here, we provide evidence of the chemoarchitectur...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111767/ https://www.ncbi.nlm.nih.gov/pubmed/27207489 http://dx.doi.org/10.1002/hbm.23229 |
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author | van den Heuvel, Martijn P. Scholtens, Lianne H. Turk, Elise Mantini, Dante Vanduffel, Wim Feldman Barrett, Lisa |
author_facet | van den Heuvel, Martijn P. Scholtens, Lianne H. Turk, Elise Mantini, Dante Vanduffel, Wim Feldman Barrett, Lisa |
author_sort | van den Heuvel, Martijn P. |
collection | PubMed |
description | The cerebral cortex is well known to display a large variation in excitatory and inhibitory chemoarchitecture, but the effect of this variation on global scale functional neural communication and synchronization patterns remains less well understood. Here, we provide evidence of the chemoarchitecture of cortical regions to be associated with large‐scale region‐to‐region resting‐state functional connectivity. We assessed the excitatory versus inhibitory chemoarchitecture of cortical areas as an ExIn ratio between receptor density mappings of excitatory (AMPA, M(1)) and inhibitory (GABA(A), M(2)) receptors, computed on the basis of data collated from pioneering studies of autoradiography mappings as present in literature of the human (2 datasets) and macaque (1 dataset) cortex. Cortical variation in ExIn ratio significantly correlated with total level of functional connectivity as derived from resting‐state functional connectivity recordings of cortical areas across all three datasets (human I: P = 0.0004; human II: P = 0.0008; macaque: P = 0.0007), suggesting cortical areas with an overall more excitatory character to show higher levels of intrinsic functional connectivity during resting‐state. Our findings are indicative of the microscale chemoarchitecture of cortical regions to be related to resting‐state fMRI connectivity patterns at the global system's level of connectome organization. Hum Brain Mapp 37:3103–3113, 2016. © 2016 Wiley Periodicals, Inc. |
format | Online Article Text |
id | pubmed-5111767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51117672016-11-16 Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity van den Heuvel, Martijn P. Scholtens, Lianne H. Turk, Elise Mantini, Dante Vanduffel, Wim Feldman Barrett, Lisa Hum Brain Mapp Research Articles The cerebral cortex is well known to display a large variation in excitatory and inhibitory chemoarchitecture, but the effect of this variation on global scale functional neural communication and synchronization patterns remains less well understood. Here, we provide evidence of the chemoarchitecture of cortical regions to be associated with large‐scale region‐to‐region resting‐state functional connectivity. We assessed the excitatory versus inhibitory chemoarchitecture of cortical areas as an ExIn ratio between receptor density mappings of excitatory (AMPA, M(1)) and inhibitory (GABA(A), M(2)) receptors, computed on the basis of data collated from pioneering studies of autoradiography mappings as present in literature of the human (2 datasets) and macaque (1 dataset) cortex. Cortical variation in ExIn ratio significantly correlated with total level of functional connectivity as derived from resting‐state functional connectivity recordings of cortical areas across all three datasets (human I: P = 0.0004; human II: P = 0.0008; macaque: P = 0.0007), suggesting cortical areas with an overall more excitatory character to show higher levels of intrinsic functional connectivity during resting‐state. Our findings are indicative of the microscale chemoarchitecture of cortical regions to be related to resting‐state fMRI connectivity patterns at the global system's level of connectome organization. Hum Brain Mapp 37:3103–3113, 2016. © 2016 Wiley Periodicals, Inc. John Wiley and Sons Inc. 2016-05-21 /pmc/articles/PMC5111767/ /pubmed/27207489 http://dx.doi.org/10.1002/hbm.23229 Text en © 2016 The Authors. Human Brain Mapping Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles van den Heuvel, Martijn P. Scholtens, Lianne H. Turk, Elise Mantini, Dante Vanduffel, Wim Feldman Barrett, Lisa Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity |
title | Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity |
title_full | Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity |
title_fullStr | Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity |
title_full_unstemmed | Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity |
title_short | Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity |
title_sort | multimodal analysis of cortical chemoarchitecture and macroscale fmri resting‐state functional connectivity |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111767/ https://www.ncbi.nlm.nih.gov/pubmed/27207489 http://dx.doi.org/10.1002/hbm.23229 |
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