1 Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
2 Faculty of Physical Chemistry, University of Belgrade, Belgrade, Serbia.
Cephalalgia. 2019 May;39(6):732-741. doi: 10.1177/0333102418815487. Epub 2018 Nov 20.
Currently, there is no scoring system for assessing the complexity of migraine aura. Our goal was to develop a Migraine Aura Complexity Score that synthesizes the quantity and quality of aura symptoms and to test its applicability in neuroimaging studies.
Patients with migraine aura were interviewed in order to obtain characteristics of migraine aura. Explorative and confirmatory analyses were used to develop the Migraine Aura Complexity Score. Median values were derived from 10 consecutive migraine auras in each patient. The Migraine Aura Complexity Score was correlated with an average cortical thickness of different brain areas in studied patients. The Surface-based Morphometric Analysis approach was used to estimate cortical thickness.
This study included 23 (16 females and seven males) migraineurs with aura. Confirmatory factor analysis suggested the second-order model with three-factor measurement for grading migraine aura. The first factor is linked to higher cortical dysfunction during migraine aura, while the second is associated with the degree of involvement of primary visual and somatosensory cortices; the third linked symptoms of somatosensory aura and hand and head involvement. Positive correlation of Migraine Aura Complexity Score and averaged cortical thickness were found in the left and right hemispheres overall (r = 0.568, p = 0.007; r = 0.617, p = 0.003) and in some of their regions.
This study demonstrates that the Migraine Aura Complexity Score could be a valuable tool for assessing migraine aura. The score could be used in neuroradiological studies in order to achieve a stratification of patients with migraine aura.
目前尚无用于评估偏头痛先兆复杂性的评分系统。我们的目标是开发一种偏头痛先兆复杂性评分(Migraine Aura Complexity Score),综合先兆症状的数量和质量,并检验其在神经影像学研究中的适用性。
对偏头痛先兆患者进行访谈,以获取偏头痛先兆的特征。采用探索性和验证性分析来开发偏头痛先兆复杂性评分。从每位患者的 10 次连续偏头痛先兆中得出中位数。偏头痛先兆复杂性评分与研究患者不同脑区的平均皮质厚度相关。采用基于表面的形态计量分析方法来估计皮质厚度。
本研究纳入了 23 名(16 名女性,7 名男性)偏头痛伴先兆患者。验证性因子分析表明,偏头痛先兆的二级模型采用三因素测量方法进行分级。第一个因素与偏头痛先兆期间较高的皮质功能障碍有关,而第二个因素与初级视觉和体感皮质的受累程度有关;第三个因素与体感先兆症状以及手和头部受累有关。偏头痛先兆复杂性评分与平均皮质厚度在左右半球整体呈正相关(r=0.568,p=0.007;r=0.617,p=0.003),在一些区域也呈正相关。
本研究表明,偏头痛先兆复杂性评分可能是评估偏头痛先兆的一种有价值的工具。该评分可用于神经影像学研究,以便对偏头痛先兆患者进行分层。