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2019, PLOS Biology. DOI: 10.1371/journal.pbio.2007032
Performing group-level functional image analyses based on homologous functional regions mapped in individuals
Meiling Li , Danhong Wang , Jianxun Ren , Georg Langs , Sophia Stoecklein , Brian P. Brennan , Jie Lu , Huafu Chen , Hesheng Liu
Abstract:
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.
2023-01-31 12:30:00
#paper doi:https://doi.org/10.1371/journal.pbio.2007032 Performing group-level functional image analyses based on homologous functional regions mapped in individuals 大脑功能区域的大小、形状、位置和连接模式在个体之间可能存在巨大差异。 作者提出了新的个体化功能分区方法,并证明该方法可以显着改进静息状态功能连接、任务-fMRI 激活和大脑-行为关联的研究。 此外,作者还表明大脑功能区域在大小、位置和连通性方面的个体差异可以提供解释人类行为的信息。
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