University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Hum Brain Mapp. 2020 Oct 15;41(15):4187-4199. doi: 10.1002/hbm.25118. Epub 2020 Jul 11.
Pioneering studies have shown that individual correlation measures from resting-state functional magnetic resonance imaging studies can identify another scan from that same individual. This method is known as "connectotyping" or functional connectome "fingerprinting." We analyzed a unique dataset of 12-30 years old (N = 140) individuals who had two distinct resting state scans on the same day and again 12-18 months later to assess the sensitivity and specificity of fingerprinting accuracy across different time scales (same day, ~1.5 years apart) and developmental periods (youths, adults). Sensitivity and specificity to identify one's own scan was high (average AUC = 0.94), although it was significantly higher in the same day (average AUC = 0.97) than 1.5-years later (average AUC = 0.91). Accuracy in youths (average AUC = 0.93) was not significantly different from adults (average AUC = 0.96). Multiple statistical methods revealed select connections from the Frontoparietal, Default, and Dorsal Attention networks enhanced the ability to identify an individual. Identification of these features generalized across datasets and improved fingerprinting accuracy in a longitudinal replication data set (N = 208). These results provide a framework for understanding the sensitivity and specificity of fingerprinting accuracy in adolescents and adults at multiple time scales. Importantly, distinct features of one's "fingerprint" contribute to one's uniqueness, suggesting that cognitive and default networks play a primary role in the individualization of one's connectome.
开创性的研究表明,从静息态功能磁共振成像研究中获得的个体相关测量值可以识别同一个体的另一扫描。这种方法被称为“连接分型”或功能连接组“指纹识别”。我们分析了一个独特的数据集,其中包括 12 至 30 岁(N=140)的个体,他们在同一天进行了两次不同的静息状态扫描,然后在 12-18 个月后再次进行扫描,以评估指纹识别准确性在不同时间尺度(同一天,相隔约 1.5 年)和发育阶段(青少年、成年人)的敏感性和特异性。识别自己扫描的敏感性和特异性很高(平均 AUC=0.94),尽管在同一天(平均 AUC=0.97)的识别率明显高于 1.5 年后(平均 AUC=0.91)。青少年(平均 AUC=0.93)的准确性与成年人(平均 AUC=0.96)没有显著差异。多种统计方法揭示了额顶、默认和背侧注意网络中的选定连接增强了识别个体的能力。这些特征在多个数据集之间具有通用性,并在纵向复制数据集(N=208)中提高了指纹识别的准确性。这些结果为理解青少年和成年人在多个时间尺度上的指纹识别准确性的敏感性和特异性提供了框架。重要的是,一个人的“指纹”的独特特征有助于其独特性,这表明认知和默认网络在连接组的个体化中起着主要作用。