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Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features

BACKGROUND: To date, few MRI studies have been performed in patients affected by chronic migraine (CM), especially in those without medication overuse. Here, we performed magnetic resonance imaging (MRI) voxel-based morphometry (VBM) analyses to investigate the gray matter (GM) volume of the whole b...

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Autores principales: Coppola, Gianluca, Petolicchio, Barbara, Di Renzo, Antonio, Tinelli, Emanuele, Di Lorenzo, Cherubino, Parisi, Vincenzo, Serrao, Mariano, Calistri, Valentina, Tardioli, Stefano, Cartocci, Gaia, Ambrosini, Anna, Caramia, Francesca, Di Piero, Vittorio, Pierelli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762618/
https://www.ncbi.nlm.nih.gov/pubmed/29322264
http://dx.doi.org/10.1186/s10194-017-0825-z
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author Coppola, Gianluca
Petolicchio, Barbara
Di Renzo, Antonio
Tinelli, Emanuele
Di Lorenzo, Cherubino
Parisi, Vincenzo
Serrao, Mariano
Calistri, Valentina
Tardioli, Stefano
Cartocci, Gaia
Ambrosini, Anna
Caramia, Francesca
Di Piero, Vittorio
Pierelli, Francesco
author_facet Coppola, Gianluca
Petolicchio, Barbara
Di Renzo, Antonio
Tinelli, Emanuele
Di Lorenzo, Cherubino
Parisi, Vincenzo
Serrao, Mariano
Calistri, Valentina
Tardioli, Stefano
Cartocci, Gaia
Ambrosini, Anna
Caramia, Francesca
Di Piero, Vittorio
Pierelli, Francesco
author_sort Coppola, Gianluca
collection PubMed
description BACKGROUND: To date, few MRI studies have been performed in patients affected by chronic migraine (CM), especially in those without medication overuse. Here, we performed magnetic resonance imaging (MRI) voxel-based morphometry (VBM) analyses to investigate the gray matter (GM) volume of the whole brain in patients affected by CM. Our aim was to investigate whether fluctuations in the GM volumes were related to the clinical features of CM. METHODS: Twenty untreated patients with CM without a past medical history of medication overuse underwent 3-Tesla MRI scans and were compared to a group of 20 healthy controls (HCs). We used SPM12 and the CAT12 toolbox to process the MRI data and to perform VBM analyses of the structural T1-weighted MRI scans. The GM volume of patients was compared to that of HCs with various corrected and uncorrected thresholds. To check for possible correlations, patients’ clinical features and GM maps were regressed. RESULTS: Initially, we did not find significant differences in the GM volume between patients with CM and HCs (p < 0.05 corrected for multiple comparisons). However, using more-liberal uncorrected statistical thresholds, we noted that compared to HCs, patients with CM exhibited clusters of regions with lower GM volumes including the cerebellum, left middle temporal gyrus, left temporal pole/amygdala/hippocampus/pallidum/orbitofrontal cortex, and left occipital areas (Brodmann areas 17/18). The GM volume of the cerebellar hemispheres was negatively correlated with the disease duration and positively correlated with the number of tablets taken per month. CONCLUSION: No gross morphometric changes were observed in patients with CM when compared with HCs. However, using more-liberal uncorrected statistical thresholds, we observed that CM is associated with subtle GM volume changes in several brain areas known to be involved in nociception/antinociception, multisensory integration, and analgesic dependence. We speculate that these slight morphometric impairments could lead, at least in a subgroup of patients, to the development and continuation of maladaptive acute medication usage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s10194-017-0825-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-57626182018-01-25 Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features Coppola, Gianluca Petolicchio, Barbara Di Renzo, Antonio Tinelli, Emanuele Di Lorenzo, Cherubino Parisi, Vincenzo Serrao, Mariano Calistri, Valentina Tardioli, Stefano Cartocci, Gaia Ambrosini, Anna Caramia, Francesca Di Piero, Vittorio Pierelli, Francesco J Headache Pain Research Article BACKGROUND: To date, few MRI studies have been performed in patients affected by chronic migraine (CM), especially in those without medication overuse. Here, we performed magnetic resonance imaging (MRI) voxel-based morphometry (VBM) analyses to investigate the gray matter (GM) volume of the whole brain in patients affected by CM. Our aim was to investigate whether fluctuations in the GM volumes were related to the clinical features of CM. METHODS: Twenty untreated patients with CM without a past medical history of medication overuse underwent 3-Tesla MRI scans and were compared to a group of 20 healthy controls (HCs). We used SPM12 and the CAT12 toolbox to process the MRI data and to perform VBM analyses of the structural T1-weighted MRI scans. The GM volume of patients was compared to that of HCs with various corrected and uncorrected thresholds. To check for possible correlations, patients’ clinical features and GM maps were regressed. RESULTS: Initially, we did not find significant differences in the GM volume between patients with CM and HCs (p < 0.05 corrected for multiple comparisons). However, using more-liberal uncorrected statistical thresholds, we noted that compared to HCs, patients with CM exhibited clusters of regions with lower GM volumes including the cerebellum, left middle temporal gyrus, left temporal pole/amygdala/hippocampus/pallidum/orbitofrontal cortex, and left occipital areas (Brodmann areas 17/18). The GM volume of the cerebellar hemispheres was negatively correlated with the disease duration and positively correlated with the number of tablets taken per month. CONCLUSION: No gross morphometric changes were observed in patients with CM when compared with HCs. However, using more-liberal uncorrected statistical thresholds, we observed that CM is associated with subtle GM volume changes in several brain areas known to be involved in nociception/antinociception, multisensory integration, and analgesic dependence. We speculate that these slight morphometric impairments could lead, at least in a subgroup of patients, to the development and continuation of maladaptive acute medication usage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s10194-017-0825-z) contains supplementary material, which is available to authorized users. Springer Milan 2017-12-08 /pmc/articles/PMC5762618/ /pubmed/29322264 http://dx.doi.org/10.1186/s10194-017-0825-z Text en © The Author(s). 2017 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
Petolicchio, Barbara
Di Renzo, Antonio
Tinelli, Emanuele
Di Lorenzo, Cherubino
Parisi, Vincenzo
Serrao, Mariano
Calistri, Valentina
Tardioli, Stefano
Cartocci, Gaia
Ambrosini, Anna
Caramia, Francesca
Di Piero, Vittorio
Pierelli, Francesco
Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features
title Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features
title_full Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features
title_fullStr Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features
title_full_unstemmed Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features
title_short Cerebral gray matter volume in patients with chronic migraine: correlations with clinical features
title_sort cerebral gray matter volume in patients with chronic migraine: correlations with clinical features
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762618/
https://www.ncbi.nlm.nih.gov/pubmed/29322264
http://dx.doi.org/10.1186/s10194-017-0825-z
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