Yiheng Tu1, Zening Fu1, Fang Zeng1, Nasim Maleki1, Lei Lan1, Zhengjie Li1, Joel Park1, Georgia Wilson1, Yujie Gao1, Mailan Liu1, Vince Calhoun1, Fanrong Liang2, Jian Kong2. 1. 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. 2. 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. kongj@nmr.mgh.harvard.edu acuresearch@126.com.
Abstract
OBJECTIVE: To investigate the dynamic functional connectivity of thalamocortical networks in interictal migraine patients and whether clinical features are associated with abnormal connectivity. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
OBJECTIVE: To investigate the dynamic functional connectivity of thalamocortical networks in interictal migraine patients and whether clinical features are associated with abnormal connectivity. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
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