Altered static and dynamic functional network connectivity in temporal lobe epilepsy with different disease duration and their relationships with attention

颞叶 默认模式网络 功能磁共振成像 动态功能连接 癫痫 神经科学 静息状态功能磁共振成像 任务正网络 心理学 磁共振成像 相关性 医学 几何学 数学 放射科
作者
Xiulin Liang,Xiaomin Pang,Jingyuan Zhao,Lu Yu,Peirong Wu,Xinrong Li,Wutong Wei,Jinou Zheng
出处
期刊:Journal of Neuroscience Research [Wiley]
卷期号:99 (10): 2688-2705 被引量:12
标识
DOI:10.1002/jnr.24915
摘要

The brain network alterations associated with temporal lobe epilepsy (TLE) progression are still unclear. The purpose of this study was to investigate altered patterns of static and dynamic functional network connectivity (sFNC and dFNC) in TLE with different durations of disease. In this study, 19 TLE patients with a disease duration of ≤5 years (TLE-SD), 24 TLE patients with a disease duration of >5 years (TLE-LD), and 21 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging and attention network test. We used group independent component analysis to determine the target resting-state networks. Sliding window correlation and k-means clustering analysis methods were used to obtain different dFNC states, temporal properties, and temporal variability. We then compared sFNC and dFNC between groups and found that compared with HCs, TLE-SD patients had increased sFNC between the dorsal attention network and sensorimotor network/visual network (VN), but decreased sFNC between the inferior-posterior default mode network and VN. In the strongly connected dFNC state, TLE-SD patients spent more time, had greater mean dwell time, and showed greater inconsistent abnormal network connectivity. There was a significant negative correlation between the temporal variability of auditory network- left fronto-parietal network connectivity and orienting effect. No significant differences in sFNC and dFNC were detected between TLE-LD and HC groups. These findings suggest that the damage and functional brain network abnormalities gradually occur in TLE patients after the onset of epilepsy, which might lead to functional network reorganization and compensatory remodeling as the disease progresses.

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