CAJ | 학술논문

为了检测人脑静息态下默认模式网络的功能连接状况，从静息态的脑部 fMRI 影像中提取各个脑区的血氧水平依赖(BOLD)信号，分析其质量指数函数及奇异谱函数曲线的性质，发现 BOLD信号具有一定的多重分形性。分别计算全脑160个感兴趣区域(ROI)的BOLD信号分形谱函数的3个特征参数并组成特征向量，以这些特征向量作为层次聚类，识别出包含 ROI_73(扣带回的代表节点)的簇团，该簇团与Dosenbach的研究结果比较，有25个 ROI是相同的，差异较少。
위료검측인뇌정식태하묵인모식망락적공능련접상황，종정식태적뇌부 fMRI 영상중제취각개뇌구적혈양수평의뢰(BOLD)신호，분석기질량지수함수급기이보함수곡선적성질，발현 BOLD신호구유일정적다중분형성。분별계산전뇌160개감흥취구역(ROI)적BOLD신호분형보함수적3개특정삼수병조성특정향량，이저사특정향량작위층차취류，식별출포함 ROI_73(구대회적대표절점)적족단，해족단여Dosenbach적연구결과비교，유25개 ROI시상동적，차이교소。
In order to detect the brain functional connectivity pattern of default mode network (DMN),The blood oxygena-tion level dependent (BOLD)signal is extracted for each ROI from the brain in resting state,it could be proved that the BOLD signal has certain multifractal properties through the analysis of quality index function and singular spectrum func-tion.By clustering feature vectors consisted of three characteristic parameters of fractal spectrum function for each ROI with hierarchical clustering method,the clusters of containing ROI_73 (representative of cingulate gyrus)can be identified.Com-pared with the research of Dosenbach,25 nodes in the cluster are the same.