Performing group-level functional image analyses based on homologous functional regions mapped in individuals

Performing group-level functional image analyses based on homologous functional regions mapped in individuals
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基于个体映射的同源功能区域进行群体级功能图像分析

DOI:
10.1371/journal.pbio.2007032
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发表时间:
2019-03-01
期刊:
影响因子:
9.8
通讯作者:
Liu, Hesheng
Liu, Hesheng
中科院分区:
生物学1区
文献类型:
--
作者:
Li, Meiling;Wang, Danhong;Liu, Hesheng

文献摘要

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功能性MRI(fMRI)研究传统上依赖于基于整体脑形态学的受试者间标准化,由于受试者间功能组织的显著差异,无法在受试者之间建立适当的功能对应关系。在这里,我们可靠地确定了一组离散的,同源的功能区域,在个人,以提高受试者之间的功能磁共振成像数据的对齐。这些功能区域在大小、位置和连接性方面表现出明显的受试者间变异性。我们发现,以前报道的功能连接图的受试者间的变异性可以部分解释的功能区域的大小和位置的变异性。重要的是,网络拓扑结构的个体差异与任务诱发激活的个体差异相关,这表明这些单独指定的区域可以作为“定位器”来改善任务功能磁共振成像数据的对齐。我们表明,调整任务功能磁共振成像数据使用来自静息状态功能磁共振成像的区域可能会导致增加的统计功率的任务功能磁共振成像分析。此外,这些同源区域之间的静息状态功能连接能够捕获受试者的特质,并且比来自组水平脑图谱的连接性测量更好地预测流体智力(gF)。重要的是,我们发现,不仅连接,而且功能区域的大小和位置与人类行为有关。总的来说,这些发现表明,识别个体之间的同源功能区域可以使连接性,任务激活和大脑行为关联的调查中的广泛研究受益。
Functional MRI (fMRI) studies have traditionally relied on intersubject normalization based on global brain morphology, which cannot establish proper functional correspondence between subjects due to substantial intersubject variability in functional organization. Here, we reliably identified a set of discrete, homologous functional regions in individuals to improve intersubject alignment of fMRI data. These functional regions demonstrated marked intersubject variability in size, position, and connectivity. We found that previously reported intersubject variability in functional connectivity maps could be partially explained by variability in size and position of the functional regions. Importantly, individual differences in network topography are associated with individual differences in task-evoked activations, suggesting that these individually specified regions may serve as the “localizer” to improve the alignment of task-fMRI data. We demonstrated that aligning task-fMRI data using the regions derived from resting state fMRI may lead to increased statistical power of task-fMRI analyses. In addition, resting state functional connectivity among these homologous regions is able to capture the idiosyncrasies of subjects and better predict fluid intelligence (gF) than connectivity measures derived from group-level brain atlases. Critically, we showed that not only the connectivity but also the size and position of functional regions are related to human behavior. Collectively, these findings suggest that identifying homologous functional regions across individuals can benefit a wide range of studies in the investigation of connectivity, task activation, and brain-behavior associations.