Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782462317237108736 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5078119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Milan |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT coppolagianluca thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT direnzoantonio thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT tinelliemanuele thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT leprechiara thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT dilorenzocherubino thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT dilorenzogiorgio thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT scapecciamarco thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT parisivincenzo thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT serraomariano thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT colonneseclaudio thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT schoenenjean thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis AT pierellifrancesco thalamocorticalnetworkactivitybetweenmigraineattacksinsightsfrommribasedmicrostructuralandfunctionalrestingstatenetworkcorrelationanalysis |