Faragó Péter, Tuka Bernadett, Tóth Eszter, Szabó Nikoletta, Király András, Csete Gergő, Szok Délia, Tajti János, Párdutz Árpád, Vécsei László, Kincses Zsigmond Tamás
Department of Neurology, Neuroimaging Research Group, Albert Szent-Györgyi, Clinical Center, University of Szeged, Semmelweis u. 6, H-6725, Szeged, Hungary.
MTA-SZTE Neuroscience Research Group, Szeged, Hungary.
J Headache Pain. 2017 Dec;18(1):8. doi: 10.1186/s10194-016-0716-8. Epub 2017 Jan 25.
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.
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.
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.
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.
偏头痛是最严重的原发性头痛疾病之一。发作期间头痛的性质及相关症状提示大脑存在潜在的功能改变。在本研究中,我们检测了有先兆偏头痛患者(MWA)、无先兆偏头痛患者(MWoA)及健康对照者静息态功能磁共振成像(fMRI)波动的振幅。
采集所有参与者的静息态功能磁共振图像和T1高分辨率图像。数据分析时我们比较了各研究组(MWA-对照组、MWA-MWoA组、MWoA-对照组)。通过MELODIC识别静息态网络。为所有参与者的所有网络确定各网络的平均时间序列。通过离散小波分解将时间序列分解为五个频段。比较各研究组之间特定频率活动的振幅。此外,通过小波分析将预处理后的静息态图像逐体素分解为五个特定频段。通过非参数置换检验比较各研究组之间的体素级振幅。
在MWA-对照组比较中,离散小波分解发现外侧视觉网络存在改变。在最高频段(0.16-0.0Hz)测量到MWA组有更高的活动。在MWA-MWoA组比较中,所有网络在MWA组的0.08-0.04Hz频率范围内显示更高的活动,外侧视觉网络在更高频率时也如此。在MWoA-对照组比较中,仅默认模式网络在MWoA组的0.08-0.04Hz频段显示活动降低。体素级频率特异性振幅分析发现,与MWoA相比,MWA在额顶叶区域、前扣带回皮质和小脑有更高的振幅。
MWA静息态fMRI活动波动的振幅高于MWoA。这些结果与之前发现MWA存在皮质兴奋性过高的研究一致。