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Interictal brain activity differs in migraine with and without aura: resting state fMRI study

BACKGROUND: Migraine is one of the most severe primary headache disorders. The nature of the headache and the associated symptoms during the attack suggest underlying functional alterations in the brain. In this study, we examined amplitude, the resting state fMRI fluctuation in migraineurs with and...

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Autores principales: Faragó, Péter, Tuka, Bernadett, Tóth, Eszter, Szabó, Nikoletta, Király, András, Csete, Gergő, Szok, Délia, Tajti, János, Párdutz, Árpád, Vécsei, László, Kincses, Zsigmond Tamás
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5267588/
https://www.ncbi.nlm.nih.gov/pubmed/28124204
http://dx.doi.org/10.1186/s10194-016-0716-8
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author Faragó, Péter
Tuka, Bernadett
Tóth, Eszter
Szabó, Nikoletta
Király, András
Csete, Gergő
Szok, Délia
Tajti, János
Párdutz, Árpád
Vécsei, László
Kincses, Zsigmond Tamás
author_facet Faragó, Péter
Tuka, Bernadett
Tóth, Eszter
Szabó, Nikoletta
Király, András
Csete, Gergő
Szok, Délia
Tajti, János
Párdutz, Árpád
Vécsei, László
Kincses, Zsigmond Tamás
author_sort Faragó, Péter
collection PubMed
description BACKGROUND: Migraine is one of the most severe primary headache disorders. The nature of the headache and the associated symptoms during the attack suggest underlying functional alterations in the brain. In this study, we examined amplitude, the resting state fMRI fluctuation in migraineurs with and without aura (MWA, MWoA respectively) and healthy controls. METHODS: Resting state functional MRI images and T1 high-resolution images were acquired from all participants. For data analysis we compared the groups (MWA-Control, MWA-MWoA, MWoA-Control). The resting state networks were identified by MELODIC. The mean time courses of the networks were identified for each participant for all networks. The time-courses were decomposed into five frequency bands by discrete wavelet decomposition. The amplitude of the frequency-specific activity was compared between groups. Furthermore, the preprocessed resting state images were decomposed by wavelet analysis into five specific frequency bands voxel-wise. The voxel-wise amplitudes were compared between groups by non-parametric permutation test. RESULTS: In the MWA-Control comparison the discrete wavelet decomposition found alterations in the lateral visual network. Higher activity was measured in the MWA group in the highest frequency band (0.16–0.08 Hz). In case of the MWA-MWoA comparison all networks showed higher activity in the 0.08–0.04 Hz frequency range in MWA, and the lateral visual network in in higher frequencies. In MWoA-Control comparison only the default mode network revealed decreased activity in MWoA group in the 0.08–0.04 Hz band. The voxel-wise frequency specific analysis of the amplitudes found higher amplitudes in MWA as compared to MWoA in the in fronto-parietal regions, anterior cingulate cortex and cerebellum. DISCUSSION: The amplitude of the resting state fMRI activity fluctuation is higher in MWA than in MWoA. These results are in concordance with former studies, which found cortical hyperexcitability in MWA.
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spelling pubmed-52675882017-02-09 Interictal brain activity differs in migraine with and without aura: resting state fMRI study Faragó, Péter Tuka, Bernadett Tóth, Eszter Szabó, Nikoletta Király, András Csete, Gergő Szok, Délia Tajti, János Párdutz, Árpád Vécsei, László Kincses, Zsigmond Tamás J Headache Pain Research Article BACKGROUND: Migraine is one of the most severe primary headache disorders. The nature of the headache and the associated symptoms during the attack suggest underlying functional alterations in the brain. In this study, we examined amplitude, the resting state fMRI fluctuation in migraineurs with and without aura (MWA, MWoA respectively) and healthy controls. METHODS: Resting state functional MRI images and T1 high-resolution images were acquired from all participants. For data analysis we compared the groups (MWA-Control, MWA-MWoA, MWoA-Control). The resting state networks were identified by MELODIC. The mean time courses of the networks were identified for each participant for all networks. The time-courses were decomposed into five frequency bands by discrete wavelet decomposition. The amplitude of the frequency-specific activity was compared between groups. Furthermore, the preprocessed resting state images were decomposed by wavelet analysis into five specific frequency bands voxel-wise. The voxel-wise amplitudes were compared between groups by non-parametric permutation test. RESULTS: In the MWA-Control comparison the discrete wavelet decomposition found alterations in the lateral visual network. Higher activity was measured in the MWA group in the highest frequency band (0.16–0.08 Hz). In case of the MWA-MWoA comparison all networks showed higher activity in the 0.08–0.04 Hz frequency range in MWA, and the lateral visual network in in higher frequencies. In MWoA-Control comparison only the default mode network revealed decreased activity in MWoA group in the 0.08–0.04 Hz band. The voxel-wise frequency specific analysis of the amplitudes found higher amplitudes in MWA as compared to MWoA in the in fronto-parietal regions, anterior cingulate cortex and cerebellum. DISCUSSION: The amplitude of the resting state fMRI activity fluctuation is higher in MWA than in MWoA. These results are in concordance with former studies, which found cortical hyperexcitability in MWA. Springer Milan 2017-01-25 /pmc/articles/PMC5267588/ /pubmed/28124204 http://dx.doi.org/10.1186/s10194-016-0716-8 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
Faragó, Péter
Tuka, Bernadett
Tóth, Eszter
Szabó, Nikoletta
Király, András
Csete, Gergő
Szok, Délia
Tajti, János
Párdutz, Árpád
Vécsei, László
Kincses, Zsigmond Tamás
Interictal brain activity differs in migraine with and without aura: resting state fMRI study
title Interictal brain activity differs in migraine with and without aura: resting state fMRI study
title_full Interictal brain activity differs in migraine with and without aura: resting state fMRI study
title_fullStr Interictal brain activity differs in migraine with and without aura: resting state fMRI study
title_full_unstemmed Interictal brain activity differs in migraine with and without aura: resting state fMRI study
title_short Interictal brain activity differs in migraine with and without aura: resting state fMRI study
title_sort interictal brain activity differs in migraine with and without aura: resting state fmri study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5267588/
https://www.ncbi.nlm.nih.gov/pubmed/28124204
http://dx.doi.org/10.1186/s10194-016-0716-8
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