Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging.
第一作者:
Xin,Di
第一单位:
Department of Radiology, UMDNJ-New Jersey Medical School, Newark, NJ, USA.
作者:
关键词
BMSBayesian Model SelectionDCMDMNDefault Mode NetworkDefault-mode networkDynamic Causal ModelDynamic causal modelFDRFalse Discovery RateFourier seriesGCAGLMGeneral Linear ModelGranger Causality AnalysisICAIPLIndependent Component AnalysisInferior Parietal LobuleLFFLow-frequency FluctuationLow-frequency fluctuationMNIMPFCMedial Prefrontal CortexMontreal Neurological InstitutePCCPosterior Cingulate CortexROIRegion of InterestResting-stateSEMStructure Equation ModelfMRIfunctional Magnetic Resonance Imaging
医学主题词
脑(Brain);脑图(Brain Mapping);计算机模拟(Computer Simulation);女(雌)性(Female);人类(Humans);图像增强(Image Enhancement);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);模型, 神经学(Models, Neurological);神经网(Nerve Net);结果可重复性(Reproducibility of Results);休息(Rest);敏感性与特异性(Sensitivity and Specificity);青年人(Young Adult)
DOI
10.1016/j.neuroimage.2013.07.071
PMID
23927904
发布时间
2022-03-09
- 浏览35
NeuroImage
53-9页
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