Liu H, Rao Y, Sun C, Wang Y, Qi S, Li X, Tian M, Yu X, Mu Y
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
Shaanxi Brain Modulation and Scientific Research Center, Xi'an 710075, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2023 Sep 20;43(9):1629-1635. doi: 10.12122/j.issn.1673-4254.2023.09.22.
To analyze the changes of brain small-world and node function network properties in patients with insomnia following radiotherapy for cervical cancer based on graph theory analysis and explore the correlation between functional networks and the clinical efficacy of individual-target transcranial magnetic stimulation (IT-TMS) for treatment of insomnia.
The resting state functional magnetic resonance imaging (rs-fMRI) data were collected from 30 patients with insomnia following radiotherapy for cervical cancer and 30 matched healthy individuals. All the patients received accelerated intelligent neuromodulation TMS therapy. Using graph theory analysis and GRETNA software, the functional connectivity matrices were constructed and the attribute features were extracted. The scores on the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS) of the participants were collected before and after IT-TMS, and the correlation between improvement in insomnia and the functional network was investigated.
The two groups matched for age, gender, and education level (>0.05) showed significant differences in PSQI, ISI, SAS and SDS scores (<0.05). Both groups showed attributes of the small-world network. Compared with the healthy individuals, the patients showed significantly decreased σ, EI, Cp and Lp (<0.05) and increased Eg (<0.05) at baseline, which, along with insomnia symptoms, were all improved after IT-TMS treatment. The patients showed reduced functional connections of the node network at follow-up compared with the baseline, and the low functional connectivity between the right insula and left superior frontal gyrus was correlated with the improvement of ISI scores.
The patients with insomnia following radiotherapy for cervical cancer have impaired information integration ability of the brain network, IT-TMS can significantly improve insomnia symptoms by reducing the hyperconnectivity between the default mode network and the salience network.
基于图论分析,分析宫颈癌放疗后失眠患者脑小世界及节点功能网络属性的变化,并探讨功能网络与个体化靶向经颅磁刺激(IT-TMS)治疗失眠临床疗效之间的相关性。
收集30例宫颈癌放疗后失眠患者及30例匹配的健康个体的静息态功能磁共振成像(rs-fMRI)数据。所有患者均接受加速智能神经调节TMS治疗。使用图论分析和GRETNA软件构建功能连接矩阵并提取属性特征。收集参与者在IT-TMS治疗前后的匹兹堡睡眠质量指数(PSQI)、失眠严重程度指数(ISI)、自评焦虑量表(SAS)和自评抑郁量表(SDS)评分,研究失眠改善与功能网络之间的相关性。
年龄、性别和教育水平匹配的两组(>0.05)在PSQI、ISI、SAS和SDS评分上存在显著差异(<0.05)。两组均表现出小世界网络的属性。与健康个体相比,患者在基线时σ、EI、Cp和Lp显著降低(<0.05),Eg升高(<0.05),这些指标以及失眠症状在IT-TMS治疗后均得到改善。与基线相比,患者随访时节点网络的功能连接减少,右侧岛叶与左侧额上回之间的低功能连接与ISI评分的改善相关。
宫颈癌放疗后失眠患者存在脑网络信息整合能力受损,IT-TMS可通过降低默认模式网络与突显网络之间的过度连接显著改善失眠症状。