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The homotopic connectivity of the functional brain: a meta-analytic approach

Homotopic connectivity (HC) is the connectivity between mirror areas of the brain hemispheres. It can exhibit a marked and functionally relevant spatial variability, and can be perturbed by several pathological conditions. The voxel-mirrored homotopic connectivity (VMHC) is a technique devised to en...

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Autores principales: Mancuso, Lorenzo, Costa, Tommaso, Nani, Andrea, Manuello, Jordi, Liloia, Donato, Gelmini, Gabriele, Panero, Melissa, Duca, Sergio, Cauda, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399443/
https://www.ncbi.nlm.nih.gov/pubmed/30833662
http://dx.doi.org/10.1038/s41598-019-40188-3
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author Mancuso, Lorenzo
Costa, Tommaso
Nani, Andrea
Manuello, Jordi
Liloia, Donato
Gelmini, Gabriele
Panero, Melissa
Duca, Sergio
Cauda, Franco
author_facet Mancuso, Lorenzo
Costa, Tommaso
Nani, Andrea
Manuello, Jordi
Liloia, Donato
Gelmini, Gabriele
Panero, Melissa
Duca, Sergio
Cauda, Franco
author_sort Mancuso, Lorenzo
collection PubMed
description Homotopic connectivity (HC) is the connectivity between mirror areas of the brain hemispheres. It can exhibit a marked and functionally relevant spatial variability, and can be perturbed by several pathological conditions. The voxel-mirrored homotopic connectivity (VMHC) is a technique devised to enquire this pattern of brain organization, based on resting state functional connectivity. Since functional connectivity can be revealed also in a meta-analytical fashion using co-activations, here we propose to calculate the meta-analytic homotopic connectivity (MHC) as the meta-analytic counterpart of the VMHC. The comparison between the two techniques reveals their general similarity, but also highlights regional differences associated with how HC varies from task to rest. Two main differences were found from rest to task: (i) regions known to be characterized by global hubness are more similar than regions displaying local hubness; and (ii) medial areas are characterized by a higher degree of homotopic connectivity, while lateral areas appear to decrease their degree of homotopic connectivity during task performance. These findings show that MHC can be an insightful tool to study how the hemispheres functionally interact during task and rest conditions.
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spelling pubmed-63994432019-03-07 The homotopic connectivity of the functional brain: a meta-analytic approach Mancuso, Lorenzo Costa, Tommaso Nani, Andrea Manuello, Jordi Liloia, Donato Gelmini, Gabriele Panero, Melissa Duca, Sergio Cauda, Franco Sci Rep Article Homotopic connectivity (HC) is the connectivity between mirror areas of the brain hemispheres. It can exhibit a marked and functionally relevant spatial variability, and can be perturbed by several pathological conditions. The voxel-mirrored homotopic connectivity (VMHC) is a technique devised to enquire this pattern of brain organization, based on resting state functional connectivity. Since functional connectivity can be revealed also in a meta-analytical fashion using co-activations, here we propose to calculate the meta-analytic homotopic connectivity (MHC) as the meta-analytic counterpart of the VMHC. The comparison between the two techniques reveals their general similarity, but also highlights regional differences associated with how HC varies from task to rest. Two main differences were found from rest to task: (i) regions known to be characterized by global hubness are more similar than regions displaying local hubness; and (ii) medial areas are characterized by a higher degree of homotopic connectivity, while lateral areas appear to decrease their degree of homotopic connectivity during task performance. These findings show that MHC can be an insightful tool to study how the hemispheres functionally interact during task and rest conditions. Nature Publishing Group UK 2019-03-04 /pmc/articles/PMC6399443/ /pubmed/30833662 http://dx.doi.org/10.1038/s41598-019-40188-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mancuso, Lorenzo
Costa, Tommaso
Nani, Andrea
Manuello, Jordi
Liloia, Donato
Gelmini, Gabriele
Panero, Melissa
Duca, Sergio
Cauda, Franco
The homotopic connectivity of the functional brain: a meta-analytic approach
title The homotopic connectivity of the functional brain: a meta-analytic approach
title_full The homotopic connectivity of the functional brain: a meta-analytic approach
title_fullStr The homotopic connectivity of the functional brain: a meta-analytic approach
title_full_unstemmed The homotopic connectivity of the functional brain: a meta-analytic approach
title_short The homotopic connectivity of the functional brain: a meta-analytic approach
title_sort homotopic connectivity of the functional brain: a meta-analytic approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399443/
https://www.ncbi.nlm.nih.gov/pubmed/30833662
http://dx.doi.org/10.1038/s41598-019-40188-3
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