首页|基于群组独立成分分析的2型糖尿病患者动态脑功能网络连接特征分析研究

基于群组独立成分分析的2型糖尿病患者动态脑功能网络连接特征分析研究

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
目的 通过动态脑网络特征分析的方法探索2型糖尿病(type 2 diabetes mellitus,T2DM)认知功能正常患者的自发神经活动改变.材料与方法 本研究前瞻性纳入39名认知功能正常的T2DM患者及年龄、性别、文化程度与T2DM患者相匹配的同等数量的健康对照者,两组患者均行3.0 T静息态脑功能磁共振扫描.图像经预处理后,使用GIFT工具包进行动态脑网络分析,提取动态功能连接指标并比较组间差异,并分析以上指标与T2DM患者临床指标的相关性.结果 与对照组相比,T2DM患者在state5中的平均滞留时间和时间分数显著高于健康对照组(P=0.014、0.039),并且初级视觉网络和突显网络的功能连接显著升高(P=0.027),空间视觉网络和基底节网络的功能连接显著降低(P=0.044),然而上述动态脑功能指标与空腹血糖值等临床指标无显著相关性(P均>0.05).结论 认知功能正常T2DM患者的动态脑功能连接模式以及视觉相关网络的动态功能连接存在异常改变,这为理解T2DM相关神经病理机制提供了一定的借鉴意义.
Analysis of dynamic brain function network connectivity in type 2 diabetes patients based on group independent component analysis
Objective:To explore the changes of spontaneous neural activity in type 2 diabetes mellitus (T2DM) patients without cognitive impairment based on dynamic functional network connectivity (dFNC) analysis. Materials and Methods:Thirty-nine T2DM patients without cognitive impairment and 39 age,sex and education matched healthy controls were included in this study. Both groups underwent resting-state functional magnetic resonance imaging (rs-fMRI) scan in a 3.0 T MRI scanner. After being preprocessed,the functional images were further managed using GIFT package to perform dFNC analyzing and statistical comparisons. Correlations between measurements of dFNC and clinical characteristics were also investigated. Results:T2DM patients had significantly higher mean dewell time (P=0.014) and fraction time (P=0.039) in state5,and significantly higher functional connectivity between the primary visual network and the salient network (P=0.027),and significantly lower functional connections in the visuospatial network and the basal ganglia network (all P=0.044). However,the aforementioned dynamic brain function indicators show no significant correlation with clinical indicators such as fasting blood glucose levels (all P>0.05). Conclusions:There were abnormal changes in dFNC patterns and connectivity of vision-related networks in T2DM patients without cognitive impairment,which might provide more information to help understand neuropathological mechanism in diabetic brains.

type 2 diabetes mellituscognitive impairmentresting-state functional magnetic resonance imagingmagnetic resonance imagingindependent component analysisdynamic brain network connectivity

张戈、张艳伟、刘太元、王涵、魏巍、王梅云

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河南省人民医院影像科,郑州 450003

白求恩国际和平医院(联勤保障部队第980医院)放射诊断科,石家庄 050051

2型糖尿病 认知障碍 静息态功能磁共振成像 磁共振成像 独立成分分析 动态功能网络连接

中国人民解放军联勤保障部队第九八〇医院孵育计划河南省医学科技攻关计划

FYJHQN202304LHGJ20210028

2024

10.12015/issn.1674-8034.2024.07.008

磁共振成像
中国医院协会 首都医科大学附属北京天坛医院

磁共振成像

CSTPCD北大核心
影响因子：1.38
ISSN：1674-8034
年,卷(期)：2024.15(7)
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