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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F17%3A00066963" target="_blank" >RIV/00159816:_____/17:00066963 - isvavai.cz</a>

  • Result on the web

    <a href="https://thejournalofheadacheandpain.springeropen.com/articles/10.1186/s10194-016-0716-8" target="_blank" >https://thejournalofheadacheandpain.springeropen.com/articles/10.1186/s10194-016-0716-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s10194-016-0716-8" target="_blank" >10.1186/s10194-016-0716-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Headache and Pain

  • ISSN

    1129-2369

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    JAN

  • Country of publishing house

    IT - ITALY

  • Number of pages

    9

  • Pages from-to

    8

  • UT code for WoS article

    000397741200001

  • EID of the result in the Scopus database