Krienen Fenna M, Yeo B T Thomas, Buckner Randy L
Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA Department of Electrical and Computer Engineering, Clinical Imaging Research Center & Singapore Institute of Neurotechnology, National University of Singapore, Singapore Center for Cognitive Neuroscience, Duke-NUS Graduate Medical School, Singapore.
Philos Trans R Soc Lond B Biol Sci. 2014 Oct 5;369(1653). doi: 10.1098/rstb.2013.0526.
Functional coupling across distributed brain regions varies across task contexts, yet there are stable features. To better understand the range and central tendencies of network configurations, coupling patterns were explored using functional MRI (fMRI) across 14 distinct continuously performed task states ranging from passive fixation to increasingly demanding classification tasks. Mean global correlation profiles across the cortex ranged from 0.69 to 0.82 between task states. Network configurations from both passive fixation and classification tasks similarly predicted task coactivation patterns estimated from meta-analysis of the literature. Thus, even across markedly different task states, central tendencies dominate the coupling configurations. Beyond these shared components, distinct task states displayed significant differences in coupling patterns in response to their varied demands. One possibility is that anatomical connectivity provides constraints that act as attractors pulling network configurations towards a limited number of robust states. Reconfigurable coupling modes emerge as significant modifications to a core functional architecture.
跨分布式脑区的功能耦合在不同任务情境中有所不同,但也存在稳定的特征。为了更好地理解网络配置的范围和中心趋势,使用功能磁共振成像(fMRI)对从被动注视到要求越来越高的分类任务等14种不同的连续执行任务状态下的耦合模式进行了探索。跨皮质的平均全局相关图谱在不同任务状态之间的范围为0.69至0.82。被动注视任务和分类任务的网络配置同样预测了从文献荟萃分析估计的任务共激活模式。因此,即使在明显不同的任务状态下,中心趋势也主导着耦合配置。除了这些共享组件外,不同的任务状态因其不同需求而在耦合模式上表现出显著差异。一种可能性是,解剖连接性提供了约束,作为吸引子将网络配置拉向有限数量的稳健状态。可重构耦合模式作为对核心功能架构的重大修改而出现。