中国医疗设备
中國醫療設備
중국의료설비
CHINA MEDICAL EQUIPMENT
2015年
6期
12-17
,共6页
林岚%张柏雯%徐小亭%付振荣%吴水才
林嵐%張柏雯%徐小亭%付振榮%吳水纔
림람%장백문%서소정%부진영%오수재
磁共振成像%脑连接组%图论分析%认知储备%脑老化
磁共振成像%腦連接組%圖論分析%認知儲備%腦老化
자공진성상%뇌련접조%도론분석%인지저비%뇌노화
MRI%brain connectome%graph theory%cognitive reserve%brain ageing
随着世界范围内老年人口寿命的增加,人口老龄化已成为越来越严重的社会问题。大脑老化会导致记忆、执行功能、注意力、运动及感觉器官等功能的衰退,但不同个体和不同脑区间的网络变化规律和机制还不是特别清楚。在这里,我们通过对75个健康受试者(50~70岁)的T1磁共振影像进行皮层厚度测量,来构建大规模的脑结构网络。大脑网络通过对68个脑区的皮层厚度的相关矩阵阈值化来进行构建,并运用图论方法进行分析。结果显示,大脑结构网络的小世界特性与hub节点在不同年龄段存在一定差异,并且这种变化规律并不是一个线性关系。这些网络特性随年龄而变化的基本机制目前尚不清楚,但我们认为这可能是认知储备对大脑萎缩所造成的网络效率下降的一种补偿。对于大脑皮层网络拓扑结构的研究可以帮助我们更好地认识大脑的老化规律及认知储备对认知衰退的补偿作用。
隨著世界範圍內老年人口壽命的增加,人口老齡化已成為越來越嚴重的社會問題。大腦老化會導緻記憶、執行功能、註意力、運動及感覺器官等功能的衰退,但不同箇體和不同腦區間的網絡變化規律和機製還不是特彆清楚。在這裏,我們通過對75箇健康受試者(50~70歲)的T1磁共振影像進行皮層厚度測量,來構建大規模的腦結構網絡。大腦網絡通過對68箇腦區的皮層厚度的相關矩陣閾值化來進行構建,併運用圖論方法進行分析。結果顯示,大腦結構網絡的小世界特性與hub節點在不同年齡段存在一定差異,併且這種變化規律併不是一箇線性關繫。這些網絡特性隨年齡而變化的基本機製目前尚不清楚,但我們認為這可能是認知儲備對大腦萎縮所造成的網絡效率下降的一種補償。對于大腦皮層網絡拓撲結構的研究可以幫助我們更好地認識大腦的老化規律及認知儲備對認知衰退的補償作用。
수착세계범위내노년인구수명적증가,인구노령화이성위월래월엄중적사회문제。대뇌노화회도치기억、집행공능、주의력、운동급감각기관등공능적쇠퇴,단불동개체화불동뇌구간적망락변화규률화궤제환불시특별청초。재저리,아문통과대75개건강수시자(50~70세)적T1자공진영상진행피층후도측량,래구건대규모적뇌결구망락。대뇌망락통과대68개뇌구적피층후도적상관구진역치화래진행구건,병운용도론방법진행분석。결과현시,대뇌결구망락적소세계특성여hub절점재불동년령단존재일정차이,병차저충변화규률병불시일개선성관계。저사망락특성수년령이변화적기본궤제목전상불청초,단아문인위저가능시인지저비대대뇌위축소조성적망락효솔하강적일충보상。대우대뇌피층망락탁복결구적연구가이방조아문경호지인식대뇌적노화규률급인지저비대인지쇠퇴적보상작용。
As life span increases worldwide, ageing population has become more of a social strain. Aging causes declining in memory, executive function, attention, motor function, vision, hearingetc. However, how brain networks differ among individuals and across brain regions remain unclear. In this paper, cortical thickness measurement was used in T1 weighted MRI (Magnetic Resonance Imaging) of 75 healthy volunteers to investigate the large-scale structural brain networks. Brain networks were constructed by thresholding cortical thickness correlation matrices of 68 regions and analyzed using graph theoretical approaches. All age groups fully preserved the small-world architecture and organization. For different age groups, the characteristics of small-world networks exhibited different patterns, and distribution of network hubs altered, suggesting a reorganization of cortical thickness correlation networks. The underlying mechanisms of changing network properties are still unclear. However, authors thought that it might be caused by neural network compensation from cognitive reserve. Study of the cortical network topology can help us to have a better understanding of the brain aging and how cognitive reserve compensates the declining cognition.