Background: Functional connectivity quantifies the statistical dependencies between the activity of brain regions, measured using neuroimaging data such as functional magnetic resonance imaging (fMRI) blood-oxygenation-level dependent time series. The network representation of functional connectivity, called a functional connectome (FC), has been shown to contain an individual fingerprint allowing participants identification across consecutive testing sessions. Recently, researchers have focused on the extraction of these fingerprints, with potential applications in personalized medicine.

中文翻译：

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通过程度归一化改进功能连接组指纹图谱


背景：功能连接性量化了大脑区域活动之间的统计依赖性，使用神经影像数据（例如功能性磁共振成像（fMRI）血氧水平依赖性时间序列）进行测量。功能连接的网络表示，称为功能连接组 (FC)，已被证明包含单个指纹，允许在连续的测试会话中识别参与者。最近，研究人员专注于这些指纹的提取，并在个性化医疗中具有潜在的应用。