From the Department of Psychiatry (Y.T., N.M., J.P., G.W., J.K.), Massachusetts General Hospital and Harvard Medical School, Charlestown; The Mind Research Network (Z.F., V.C.), Albuquerque, NM; Acupuncture and Tuina School/3rd Teaching Hospital (F.Z., L.L., Z.L., F.L.), Chengdu University of Traditional Chinese Medicine, Chengdu; Traditional Chinese Medicine School (Y.G.), Ningxia Medical University, Yinchuan; and The Acupuncture and Tuina School (M.L.), Hunan University of Chinese Medicine, Changsha, China.
Neurology. 2019 Jun 4;92(23):e2706-e2716. doi: 10.1212/WNL.0000000000007607. Epub 2019 May 10.
To investigate the dynamic functional connectivity of thalamocortical networks in interictal migraine patients and whether clinical features are associated with abnormal connectivity.
We investigated dynamic functional network connectivity (dFNC) of the migraine brain in 89 interictal migraine patients and 70 healthy controls. We focused on the temporal properties of thalamocortical connectivity using sliding window cross-correlation, clustering state analysis, and graph-theory methods. Relationships between clinical symptoms and abnormal dFNC were evaluated using a multivariate linear regression model.
Five dFNC brain states were identified to characterize and compare dynamic functional connectivity patterns. We demonstrated that migraineurs spent more time in a strongly interconnected between-network state, but they spent less time in a sparsely connected state. Interestingly, we found that abnormal posterior thalamus (pulvinar nucleus) dFNC with the visual cortex and the precuneus were significantly correlated with headache frequency of migraine. Further topologic measures revealed that migraineurs had significantly lower efficiency of information transfer in both global and local dFNC.
Our results demonstrated a transient pathologic state with atypical thalamocortical connectivity in migraineurs and extended current findings regarding abnormal thalamocortical networks and dysrhythmia in migraine.
研究间歇期偏头痛患者丘脑皮质网络的动态功能连接，以及临床特征是否与异常连接有关。
我们调查了 89 例间歇期偏头痛患者和 70 名健康对照者的偏头痛大脑的动态功能网络连接（dFNC）。我们使用滑动窗口互相关、聚类状态分析和图论方法重点研究了丘脑皮质连接的时间特性。使用多元线性回归模型评估临床症状与异常 dFNC 之间的关系。
我们确定了 5 种 dFNC 脑状态来描述和比较动态功能连接模式。我们证明偏头痛患者在强连接的网络间状态下花费更多时间，但在稀疏连接状态下花费更少时间。有趣的是，我们发现异常的后丘脑（丘脑枕核）与视觉皮层和楔前叶的 dFNC 与偏头痛的头痛频率显著相关。进一步的拓扑测量表明，偏头痛患者在全局和局部 dFNC 中的信息传递效率明显降低。
我们的结果表明偏头痛患者存在短暂的病理状态，丘脑皮质连接异常，并扩展了关于偏头痛中异常丘脑皮质网络和节律紊乱的现有发现。
