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Abstract #2481

Abnormal static and dynamic functional network connectivity in patients with capsular stroke based on the triple-network model.

Yingying Wang1, Caihong Wang1, Peifang Miao1, Ying Wei1, Luobing Wu1, Jingliang Cheng1, and Jingxia Guo2
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare MR Research, Beijing, China


To explore the mechanisms of cognitive impairment and reorganization in patients with left- and right-sided capsular stroke (CS_L, CS_R), we collected resting-state fMRI data from 62 CS_L, 56 CS_R patients and 57 normal controls (NC). Based on the triple-network model [involving the default mode, central executive and salience networks], static (SFNC) and dynamic functional network connectivities (DFNC) were performed to calculate inter-network functional connectivities and estimate temporal features in each state among the three groups. We found more significant SFNC and DFNC changes in CS_R group, suggesting more extensive cognitive impairment and reorganization in CS_R patients than those with CS_L.

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