Functional System and Areal Organization of a Highly Sampled Individual Human Brain.
Functional System and Areal Organization of a Highly Sampled Individual Human Brain.
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DOI：
10.1016/j.neuron.2015.06.037
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发表时间：
2015-08-05
期刊：
影响因子：
16.2
通讯作者：
Petersen SE
中科院分区：
文献类型：
--
作者：
Laumann TO;Gordon EM;Adeyemo B;Snyder AZ;Joo SJ;Chen MY;Gilmore AW;McDermott KB;Nelson SM;Dosenbach NU;Schlaggar BL;Mumford JA;Poldrack RA;Petersen SE
静息状态功能MRI能够在多个空间尺度上描述群体水平的功能性大脑组织。然而，跨学科平均可能会模糊每个人特定的大脑组织模式。在这里，我们在一年多的时间里反复测量了一个人的大脑组织。我们报告了与特定主题任务激活相对应的可重复且内部有效的特定主题区域级分割。如果收集到足够的数据（比通常获得的数据多得多），则可以从这种分割中得出高度收敛的相关网络估计。值得注意的是，在不同的会话中，受试者内部的相关可变性在集中在视觉和躯体运动区域的皮质中表现出异质分布，这与受试者之间的可变性模式不同。此外，尽管个人的系统级组织与团体大体相似，但它表现出不同的拓扑特征。这些结果为研究皮质组织和功能的个体差异，特别是特殊或罕见个体的差异提供了基础。
Resting state functional MRI has enabled description of group-level functional brain organization at multiple spatial scales. However, cross-subject averaging may obscure patterns of brain organization specific to each individual. Here, we characterized the brain organization of a single individual repeatedly measured over more than a year. We report a reproducible and internally valid subject-specific areal-level parcellation that corresponds with subject-specific task activations. Highly convergent correlation network estimates can be derived from this parcellation if sufficient data are collected – considerably more than typically acquired. Notably, within-subject correlation variability across sessions exhibited a heterogeneous distribution across the cortex concentrated in visual and somato-motor regions, distinct from the pattern of inter-subject variability. Further, although the individual's systems-level organization is broadly similar to the group, it demonstrates distinct topological features. These results provide a foundation for studies of individual differences in cortical organization and function, especially for special or rare individuals.