CAJ | 학술논문

目的：探讨正常人脑静息状态下的不同专属脑网络间的连接强度及其意义。方法选取36名健康受试者进行静息态功能磁共振(rs-fMRI)扫描，采用独立成分分析(ICA)方法分离静息状态五大专属性功能脑网络，将五大脑网络分别作为感兴趣区，并采用多变量Granger因果分析方法(GCA)分析相关脑网络之间的功能因果连接的强度关系。采用SPM 5.0软件进行分析处理。结果应用ICA方法得到5个经典的正常人静息态脑网络成分，分别为默认网络(DMN)、记忆网络(MeN)、运动网络(MoN)、听觉网络(AN)和执行控制网络(ECN)。GCA分析表明，DMN和其余4个网络之间、MeN和ECN之间、AN和MoN之间、ECN和AN之间均存在显著的因果联系。结论正常人在静息状态下存在特定的脑功能连接网络，且这些网络之间有着显著的因果联系。
목적：탐토정상인뇌정식상태하적불동전속뇌망락간적련접강도급기의의。방법선취36명건강수시자진행정식태공능자공진(rs-fMRI)소묘，채용독립성분분석(ICA)방법분리정식상태오대전속성공능뇌망락，장오대뇌망락분별작위감흥취구，병채용다변량Granger인과분석방법(GCA)분석상관뇌망락지간적공능인과련접적강도관계。채용SPM 5.0연건진행분석처리。결과응용ICA방법득도5개경전적정상인정식태뇌망락성분，분별위묵인망락(DMN)、기억망락(MeN)、운동망락(MoN)、은각망락(AN)화집행공제망락(ECN)。GCA분석표명，DMN화기여4개망락지간、MeN화ECN지간、AN화MoN지간、ECN화AN지간균존재현저적인과련계。결론정상인재정식상태하존재특정적뇌공능련접망락，차저사망락지간유착현저적인과련계。
Objective To detect the effective connectivity of resting-state functional magnetic resonance imaging (fMRI) in normal adults. Methods 36 normal adults were performed resting-state fMRI scanning, and 5 brain netwokes were included as regions of interests. Independent component (ICA) was used to evaluate the effective connectivity, and multivariate Granger causality analysis (mGCA) was used to analyze the casuality between the networks. All preprocessing steps were carried out using Statistical Parametric Mapping 5.0 soft-ware. Results 5 classic resting brain networks including default mode network (DMN), memory network (MeN), motor network (MoN), au-ditory network (AN) and executive control network (ECN) were aquired. The mGCA presented significant casuality between DMN and oth-er 4 networks, MeN and ECN, AN and MoN, ECN and AN. Conclusion There are specific brain effective connectivity of resting-state fMRI in normal adults, and there is significant causal link between these networks.