基于独立成分分析的终末期肾病患者静态及动态功能网络连接研究  

Static and dynamic functional network connectivity analysis in patients with end-stage renal disease:a study based on independent component analysis

作　　者：张谍 陈影影 沈晶[1] 都丽娜 谢青 敬丽 林琳[1] 伍建林[1] ZHANG Die;CHEN Ying-ying;SHEN Jing(Department of Radiology,Affiliated Zhongshan Hospital of Dalian University,Liaoning 116001,China)

机构地区：[1]大连大学附属中山医院放射科,辽宁116001 [2]深圳市肿瘤医院放射科,广东518116

出　　处：《放射学实践》2024年第3期335-341,共7页Radiologic Practice

基　　金：国家自然科学基金项目(82071911);大连市科技创新基金计划项目(2021JJ12SN38)。

摘　　要：目的:探索终末期肾病(ESRD)患者功能网络连接(FNC)的静态及动态变化特点。方法:收集33例ESRD患者及34例健康对照组作为研究对象。首先基于独立成分分析识别到6个静息态功能网络,即听觉网络、凸显网络、视觉网络、感觉运动网络(SMN)、执行控制网络(ECN)及默认网络。然后比较两组静态功能网络连接(sFNC)和动态功能网络连接(dFNC)相关参数的差异,并与神经心理测试进行相关分析。结果:sFNC分析显示ESRD组ECN与SMN的sFNC强度显著高于健康对照组(P<0.05,FDR校正),而且与执行功能评分[连线追踪测试A(TMT-A)]呈显著正相关(r=0.429,P=0.018)。dFNC分析显示ESRD组状态3的时间分数和平均驻留时间显著低于健康对照组(P<0.05);状态2的时间分数(r=0.503,P=0.005)和平均驻留时间(r=0.412,P=0.024)与TMT-A评分呈显著正相关;状态4的时间分数与焦虑评分呈显著负相关(r=-0.372,P=0.043)。结论:本研究采用独立成分分析的方法揭示了ESRD患者静态及动态功能网络连接的特点,为深入理解ESRD患者神经病理损害机制提供了新视角。Objective:To explore the static and dynamic characteristics of functional network connectivity(FNC)in patients with end-stage renal disease(ESRD).Methods:33 patients with ESRD and 34 healthy controls(HC)were collected.Six resting-state functional networks were identified based on independent component analysis,including auditory network,visual network,sensorimotor network(SMN),salience network,executive control network(ECN)and default network.Then,the differences of the parameters related to static functional network connectivity(sFNC)and dynamic functional network connectivity(dFNC)were compared between the two groups,and the correlation between these parameters and neuropsychological tests was investigated.Results:The sFNC strength between ECN and SMN in patient group was significantly higher than that in HC(P<0.05,FDR correction),and this sFNC strength was significantly positively correlated with the executive function score(trail making test A,TMT-A)(r=0.429,P=0.018).The dFNC analysis revealed that the fractional window and mean dwell time of state 3 in patient group were significantly lower than those in HC(P<0.05).The fractional window(r=0.503,P=0.005)and mean dwell time(r=0.412,P=0.024)of state 2 were significantly positively correlated with TMT-A score.The fractional window of state 4 was significantly negatively correlated with the anxiety score(r=-0.372,P=0.043).Conclusion:In this study,independent component analysis was used to reveal the characteristics of static and dynamic functional network connectivity in patients with ESRD,which provided a new insight based on functional network level for further understanding the mechanism of neuropathological damage in patients with ESRD.

关 键 词：终末期肾病 维持性血液透析 认知功能 功能网络连接 独立成分分析 动态脑网络 

分 类 号：R445.2[医药卫生—影像医学与核医学] R692[医药卫生—诊断学]