发作性
脑电图
医学
清醒
听力学
三角波
慢波睡眠
麻醉
神经科学
心理学
作者
Yan Dong,Ruijuan Xu,Yaodong Zhang,Yali Shi,Kaixian Du,Tianming Jia,Jun Wang,Fang Wang
标识
DOI:10.3389/fped.2022.878099
摘要
The study aimed to identify the signatures of brain networks using electroencephalogram (EEG) in patients with infantile spasms (IS).Scalp EEGs of subjects with IS were prospectively collected in the first year of life (n = 8; age range 4-8 months; 3 males, 5 females). Ten minutes of ictal and interictal EEGs were clipped and filtered into different EEG frequency bands. The values of each pair of EEG channels were directly compared between ictal with interictal onsets and the sleep-wake phase to calculate IS brain network attributes: characteristic path length (CPL), node degree (ND), clustering coefficient (CC), and betweenness centrality (BC).CPL, ND, and CC of the fast waves decreased while BC increased. CPL and BC of the slow waves decreased, while ND and CC increased during the IS ictal onset (P < 0.05). CPL of the alpha decreased, and BC increased during the waking time (P < 0.05).The transmission capability of the fast waves, the local connectivity, and the defense capability of the slow waves during the IS ictal onset were enhanced. The alpha band played the most important role in both the global and local networks during the waking time. These may represent the brain network signatures of IS.
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