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Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis

BACKGROUND: Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in migraine without aura (MO) patients between attack...

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Autores principales: Coppola, Gianluca, Di Renzo, Antonio, Tinelli, Emanuele, Lepre, Chiara, Di Lorenzo, Cherubino, Di Lorenzo, Giorgio, Scapeccia, Marco, Parisi, Vincenzo, Serrao, Mariano, Colonnese, Claudio, Schoenen, Jean, Pierelli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078119/
https://www.ncbi.nlm.nih.gov/pubmed/27778244
http://dx.doi.org/10.1186/s10194-016-0693-y
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author Coppola, Gianluca
Di Renzo, Antonio
Tinelli, Emanuele
Lepre, Chiara
Di Lorenzo, Cherubino
Di Lorenzo, Giorgio
Scapeccia, Marco
Parisi, Vincenzo
Serrao, Mariano
Colonnese, Claudio
Schoenen, Jean
Pierelli, Francesco
author_facet Coppola, Gianluca
Di Renzo, Antonio
Tinelli, Emanuele
Lepre, Chiara
Di Lorenzo, Cherubino
Di Lorenzo, Giorgio
Scapeccia, Marco
Parisi, Vincenzo
Serrao, Mariano
Colonnese, Claudio
Schoenen, Jean
Pierelli, Francesco
author_sort Coppola, Gianluca
collection PubMed
description BACKGROUND: Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in migraine without aura (MO) patients between attacks. METHODS: Eighteen patients with untreated MO underwent 3 T MRI scans and were compared to a group of 19 healthy volunteers (HV). We used MRI to collect resting state data among two selected resting state networks, identified using group independent component (IC) analysis. Fractional anisotropy (FA) and mean diffusivity (MD) values of bilateral thalami were retrieved from a previous diffusion tensor imaging study on the same subjects and correlated with resting state ICs Z-scores. RESULTS: In comparison to HV, in MO we found significant reduced functional connectivity between the default mode network and the visuo-spatial system. Both HV and migraine patients selected ICs Z-scores correlated negatively with FA values of the thalamus bilaterally. CONCLUSIONS: The present results are the first evidence supporting the hypothesis that an abnormal resting within networks connectivity associated with significant differences in baseline thalamic microstructure could contribute to interictal migraine pathophysiology.
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spelling pubmed-50781192016-11-07 Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis Coppola, Gianluca Di Renzo, Antonio Tinelli, Emanuele Lepre, Chiara Di Lorenzo, Cherubino Di Lorenzo, Giorgio Scapeccia, Marco Parisi, Vincenzo Serrao, Mariano Colonnese, Claudio Schoenen, Jean Pierelli, Francesco J Headache Pain Research Article BACKGROUND: Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in migraine without aura (MO) patients between attacks. METHODS: Eighteen patients with untreated MO underwent 3 T MRI scans and were compared to a group of 19 healthy volunteers (HV). We used MRI to collect resting state data among two selected resting state networks, identified using group independent component (IC) analysis. Fractional anisotropy (FA) and mean diffusivity (MD) values of bilateral thalami were retrieved from a previous diffusion tensor imaging study on the same subjects and correlated with resting state ICs Z-scores. RESULTS: In comparison to HV, in MO we found significant reduced functional connectivity between the default mode network and the visuo-spatial system. Both HV and migraine patients selected ICs Z-scores correlated negatively with FA values of the thalamus bilaterally. CONCLUSIONS: The present results are the first evidence supporting the hypothesis that an abnormal resting within networks connectivity associated with significant differences in baseline thalamic microstructure could contribute to interictal migraine pathophysiology. Springer Milan 2016-10-24 /pmc/articles/PMC5078119/ /pubmed/27778244 http://dx.doi.org/10.1186/s10194-016-0693-y Text en © The Author(s). 2016 Open AccessThis article is 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 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.
spellingShingle Research Article
Coppola, Gianluca
Di Renzo, Antonio
Tinelli, Emanuele
Lepre, Chiara
Di Lorenzo, Cherubino
Di Lorenzo, Giorgio
Scapeccia, Marco
Parisi, Vincenzo
Serrao, Mariano
Colonnese, Claudio
Schoenen, Jean
Pierelli, Francesco
Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis
title Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis
title_full Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis
title_fullStr Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis
title_full_unstemmed Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis
title_short Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis
title_sort thalamo-cortical network activity between migraine attacks: insights from mri-based microstructural and functional resting-state network correlation analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078119/
https://www.ncbi.nlm.nih.gov/pubmed/27778244
http://dx.doi.org/10.1186/s10194-016-0693-y
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