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大脑不同区域的不同频段在婴儿痉挛症的发作及睡眠-觉醒阶段发挥着不同作用。

Different Frequency Bands in Various Regions of the Brain Play Different Roles in the Onset and Wake-Sleep Stages of Infantile Spasms.

作者信息

Dong Yan, Xu Ruijuan, Zhang Yaodong, Shi Yali, Du Kaixian, Jia Tianming, Wang Jun, Wang Fang

机构信息

Henan Provincial Key Laboratory of Child Brain Injury, Department of Pediatrics, Third Associated Hospital of Zheng Zhou University, Zhengzhou, China.

Henan Key Laboratory of Children's Genetics and Metabolic Diseases, Henan Neurodevelopment Engineering Research Center for Children, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.

出版信息

Front Pediatr. 2022 May 12;10:878099. doi: 10.3389/fped.2022.878099. eCollection 2022.

Abstract

OBJECTIVE

The study aimed to identify the signatures of brain networks using electroencephalogram (EEG) in patients with infantile spasms (IS).

METHODS

Scalp EEGs of subjects with IS were prospectively collected in the first year of life ( = 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).

RESULTS

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 ( < 0.05). CPL of the alpha decreased, and BC increased during the waking time ( < 0.05).

CONCLUSION

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.

摘要

目的

本研究旨在利用脑电图(EEG)确定婴儿痉挛症(IS)患者脑网络的特征。

方法

前瞻性收集出生后第一年患有IS的受试者的头皮脑电图(n = 8;年龄范围4 - 8个月;男性3例,女性5例)。截取10分钟的发作期和发作间期脑电图,并过滤成不同的脑电频段。直接比较发作期与发作间期起始以及睡眠 - 觉醒阶段每对脑电通道的值,以计算IS脑网络属性:特征路径长度(CPL)、节点度(ND)、聚类系数(CC)和中介中心性(BC)。

结果

快波的CPL、ND和CC降低,而BC增加。在IS发作起始时,慢波的CPL和BC降低,而ND和CC增加(P < 0.05)。在清醒时,α波的CPL降低,BC增加(P < 0.05)。

结论

在IS发作起始时,快波的传输能力、慢波的局部连通性和防御能力增强。在清醒时,α频段在全局和局部网络中起最重要作用。这些可能代表IS的脑网络特征。

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