南方医科大学学报 ›› 2021, Vol. 41 ›› Issue (3): 424-429.doi: 10.12122/j.issn.1673-4254.2021.03.16

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静息态功能磁共振成像分析原发性失眠患者大脑的小世界网络

黄伟康,李志铭,吴水天,洪静静,文 戈   

  • 出版日期:2021-03-20 发布日期:2021-04-06

Small-world network of patients with primary insomnia: a resting-state functional magnetic resonance imaging study

  • Online:2021-03-20 Published:2021-04-06

摘要:

目的 基于静息态功能磁共振成像(rs-fMRI)研究原发性失眠患者脑功能网络小世界属性的变化。方法 采集65名患者和60名相匹配的健康对照者rs-fMRI数据以及神经量表数据,通过GRENTA软件构建脑网络,统计分析采用SPSS软件及基于网络的统计分析方法。结果 两组在年龄、性别和受教育程度方面差异均无统计学意义(P>0.05),在匹兹堡睡眠质量指数,汉密尔顿抑郁量表、汉密尔顿焦虑量表数据差异有统计学意义(P<0.05)。两组均符合小世界网络属性,与对照组相比患者组小世界网络全局属性表现出更低的Cp、γ、Eloc、λ、连通性、σ(P<0.05)。结论 原发性失眠患者较对照者表现出聚类系数等网络参数的减低,表明网络信息整合能力受损,为原发性失眠患者神经病理机制提供了客观的影像学证据,有利于加深对其神经病理机制的了解。

关键词:

Abstract: Objective To explore the changes of small-world network properties in patients with primary insomnia based on resting-state functional magnetic resonance imaging (rs-fMRI). Methods The rs-MRI data and neurological scale data of 65 patients and 60 matched healthy controls were collected. The brain network was constructed using GRENTA software. SPSS software and network-based statistical analysis methods were used for statistical analysis. Results There was no significant difference between the two groups in terms of age, gender or education level (P>0.05), but PSQI, HAMA and HAMD scale scores differed significantly between the two groups (P<0.05). Both of the groups showed attributes of the small-world network. Compared with the control group, the patients with insomnia showed lower Cp, γ, Eloc, λ, connectivity, and σ of the small world network (P<0.05). Conclusion Patients with primary insomnia have lower global and local efficiencies than healthy individuals, and their ability to transmit information on the surface topology is impaired. Our data provide objective imaging evidences for the neuropathological mechanism of patients with primary insomnia.

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