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集群性头痛中的白质解体。

White matter disintegration in cluster headache.

机构信息

Department of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.

出版信息

J Headache Pain. 2013 Jul 24;14(1):64. doi: 10.1186/1129-2377-14-64.

Abstract

BACKGROUND

Previous studies in primary headache disorders showed microstructural alterations in the white matter as measured by diffusion imaging. However these investigations are not in full agreement and some of those, especially in cluster headache, restricted the analysis to only a limited number of diffusion parameters. Therefore, in the current study we examined white matter microstructure in cluster headache patients.

METHODS

Diffusion weighted MRI images with 60 directions were acquired from thirteen patients with cluster headache and sixteen age-matched healthy controls. Tract based spatial statistics were used to compare white matter integrity in the core of the fibre bundles. Correlation of the diffusion parameters with cumulative number of headache days was examined.

RESULTS

There was a significant increment of the mean, axial and perpendicular diffusivity in widespread white matter regions in the frontal, parietal, temporal and occipital lobes. Reduced fractional anisotropy was found in the corpus callosum and some frontal and parietal white matter tracts mainly in the contralateral side of the pain. Axial diffusivity showed negative correlation to the number of the headache attacks.

CONCLUSIONS

The in vivo analysis of microstructural alterations in cluster headache provides important features of the disease, which might offer a deeper insight into the pathomechanism of the disease.

摘要

背景

既往原发性头痛疾病的研究显示,弥散成像可测量到脑白质的微观结构改变。然而,这些研究结果并不完全一致,其中一些研究,特别是在丛集性头痛中,仅将分析局限于少数几个弥散参数。因此,在本研究中,我们对丛集性头痛患者的脑白质微观结构进行了研究。

方法

从 13 名丛集性头痛患者和 16 名年龄匹配的健康对照者中采集了 60 个方向的弥散加权 MRI 图像。采用基于束的空间统计学方法比较了纤维束核心的脑白质完整性。并分析了弥散参数与头痛天数累积数的相关性。

结果

在额、顶、颞、枕叶的广泛脑白质区域,平均、轴和垂直弥散度均显著增加。在胼胝体和一些额、顶叶白质束中发现了部分对侧的各向异性分数降低,主要在疼痛的对侧。轴突弥散度与头痛发作次数呈负相关。

结论

丛集性头痛患者脑白质微观结构的体内分析提供了疾病的重要特征,这可能为深入了解疾病的发病机制提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ec9/3728007/5c5da4a8ec10/1129-2377-14-64-1.jpg

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