Inconsistent findings from migraine neuroimaging studies have limited attempts to localize migraine symptomatology. Novel brain network mapping techniques offer a new approach for linking neuroimaging findings to a common neuroanatomical substrate and localizing therapeutic targets. In this study, we attempted to determine whether neuroanatomically heterogeneous neuroimaging findings of migraine localize to a common brain network. We used meta-analytic coordinates of decreased grey matter volume in migraineurs as seed regions to generate resting state functional connectivity network maps from a normative connectome (n = 1000). Network maps were overlapped to identify common regions of connectivity across all coordinates. Specificity of our findings was evaluated using a whole-brain Bayesian spatial generalized linear mixed model and a region of interest analysis with comparison groups of chronic pain and a neurologic control (Alzheimer's disease). We found that all migraine coordinates (11/11, 100%) were negatively connected (t ≥ ±7, P < 10-6 family-wise error corrected for multiple comparisons) to a single location in left extrastriate visual cortex overlying dorsal V3 and V3A subregions. More than 90% of coordinates (10/11) were also positively connected with bilateral insula and negatively connected with the hypothalamus. Bayesian spatial generalized linear mixed model whole-brain analysis identified left V3/V3A as the area with the most specific connectivity to migraine coordinates compared to control coordinates (voxel-wise probability of ≥90%). Post hoc region of interest analyses further supported the specificity of this finding (ANOVA P = 0.02; pairwise t-tests P = 0.03 and P = 0.003, respectively). In conclusion, using coordinate-based network mapping, we show that regions of grey matter volume loss in migraineurs localize to a common brain network defined by connectivity to visual cortex V3/V3A, a region previously implicated in mechanisms of cortical spreading depression in migraine. Our findings help unify migraine neuroimaging literature and offer a migraine-specific target for neuromodulatory treatment.

中文翻译：

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将偏头痛映射到常见的大脑网络。

偏头痛神经影像学研究的不一致发现限制了偏头痛症状的局部定位。新型的脑网络映射技术提供了一种将神经影像学发现与常见的神经解剖学底物联系起来并定位治疗靶标的新方法。在这项研究中，我们试图确定偏头痛的神经解剖学异质性神经影像学发现是否定位于共同的大脑网络。我们使用偏头痛中灰质数量减少的荟萃分析坐标作为种子区域，以从标准连接套（n = 1000）生成静止状态功能连接网络图。网络地图重叠以标识所有坐标上的公共连接区域。使用全脑贝叶斯空间广义线性混合模型和感兴趣区域分析以及慢性疼痛和神经系统控制（阿尔茨海默氏病）的比较组来评估我们研究结果的特异性。我们发现所有偏头痛坐标（11/11，100％）都负连接（t≥±7，P <10-6家族误差进行多次比较校正），覆盖在背侧V3和V3A子区域。超过90％的坐标（10/11）也与双侧岛阳性连接，而与下丘脑负连接。与控制坐标相比，贝叶斯空间广义线性混合模型全脑分析确定左V3 / V3A为与偏头痛坐标最特定的连通性区域（体素概率≥90％）。事后关注区域分析进一步支持了这一发现的特异性（ANOVA P = 0.02；成对t检验P = 0.03和P = 0.003）。总之，使用基于坐标的网络映射，我们显示出偏头痛患者的灰质体积损失区域定位于由与视觉皮层V3 / V3A的连通性定义的公共大脑网络，该区域先前与偏头痛的皮质扩散抑制机制有关。我们的发现有助于统一偏头痛神经影像学文献，并为神经调节治疗提供偏头痛特异性靶标。我们显示偏头痛中的灰质体积减少区域定位于由与视觉皮层V3 / V3A的连通性定义的公共大脑网络，该区域先前与偏头痛的皮质扩散抑制机制有关。我们的发现有助于统一偏头痛神经影像学文献，并为神经调节治疗提供偏头痛特异性靶标。我们显示偏头痛中的灰质体积减少区域定位于由与视觉皮层V3 / V3A的连通性定义的公共大脑网络，该区域先前与偏头痛的皮质扩散抑制机制有关。我们的发现有助于统一偏头痛神经影像学文献，并为神经调节治疗提供偏头痛特异性靶标。