Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month.
Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month.
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一个月内十次重复的静息态脑部扫描揭示了个体差异和重测可靠性
DOI：
10.1371/journal.pone.0144963
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Weng XC
中科院分区：
文献类型：
--
作者：
Chen B;Xu T;Zhou C;Wang L;Yang N;Wang Z;Dong HM;Yang Z;Zang YF;Zuo XN;Weng XC
人们认为，思维和行为的个体差异反映了人类大脑功能的多样性。由于缺乏大规模的纵向数据集，个体功能连接体内部和之间的变异性的完整景观在很大程度上是未知的。我们收集了30名健康参与者的300个静息状态功能磁共振成像（rfMRI）数据集，这些参与者每三天扫描一次，持续一个月。利用这些数据，在多个空间尺度上估计了6个常见rfMRI指标的个体内和个体间变异性以及它们的重测信度。全球指标比当地区域指标更具活力。涉及工作记忆、抑制、注意力、语言和相关神经网络的认知成分表现出较高的个体内变异性。相比之下，个体间变异性在多个度量尺度上表现出更复杂的情况。边缘、默认、额顶叶和视觉网络及其相关的认知成分比参与者的躯体运动和注意力网络更有区别。分析个体内和个体间的变异性揭示了一组高分辨率的多尺度连接组学指标的重测信度图。这些发现代表了人体功能性连接体在体内的多尺度和多度量表征中的个体差异的第一个集合，作为该领域的正常参考，以指导在基于rfMRI的应用中使用常见的功能性度量。
Individual differences in mind and behavior are believed to reflect the functional variability of the human brain. Due to the lack of a large-scale longitudinal dataset, the full landscape of variability within and between individual functional connectomes is largely unknown. We collected 300 resting-state functional magnetic resonance imaging (rfMRI) datasets from 30 healthy participants who were scanned every three days for one month. With these data, both intra- and inter-individual variability of six common rfMRI metrics, as well as their test-retest reliability, were estimated across multiple spatial scales. Global metrics were more dynamic than local regional metrics. Cognitive components involving working memory, inhibition, attention, language and related neural networks exhibited high intra-individual variability. In contrast, inter-individual variability demonstrated a more complex picture across the multiple scales of metrics. Limbic, default, frontoparietal and visual networks and their related cognitive components were more differentiable than somatomotor and attention networks across the participants. Analyzing both intra- and inter-individual variability revealed a set of high-resolution maps on test-retest reliability of the multi-scale connectomic metrics. These findings represent the first collection of individual differences in multi-scale and multi-metric characterization of the human functional connectomes in-vivo, serving as normal references for the field to guide the use of common functional metrics in rfMRI-based applications.