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人类联合皮层的功能特化与灵活性

Functional Specialization and Flexibility in Human Association Cortex.

作者信息

Yeo B T Thomas, Krienen Fenna M, Eickhoff Simon B, Yaakub Siti N, Fox Peter T, Buckner Randy L, Asplund Christopher L, Chee Michael W L

机构信息

Department of Electrical and Computer Engineering Center for Cognitive Neuroscience, Duke-NUS Graduate Medical School, Singapore Singapore Institute of Neurotechnology and Clinical Imaging Research Centre, National University of Singapore, Singapore Athinoula A. Martinos Center for Biomedical Imaging and.

Athinoula A. Martinos Center for Biomedical Imaging and Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, USA.

出版信息

Cereb Cortex. 2015 Oct;25(10):3654-72. doi: 10.1093/cercor/bhu217. Epub 2014 Sep 23.

Abstract

The association cortex supports cognitive functions enabling flexible behavior. Here, we explored the organization of human association cortex by mathematically formalizing the notion that a behavioral task engages multiple cognitive components, which are in turn supported by multiple overlapping brain regions. Application of the model to a large data set of neuroimaging experiments (N = 10 449) identified complex zones of frontal and parietal regions that ranged from being highly specialized to highly flexible. The network organization of the specialized and flexible regions was explored with an independent resting-state fMRI data set (N = 1000). Cortical regions specialized for the same components were strongly coupled, suggesting that components function as partially isolated networks. Functionally flexible regions participated in multiple components to different degrees. This heterogeneous selectivity was predicted by the connectivity between flexible and specialized regions. Functionally flexible regions might support binding or integrating specialized brain networks that, in turn, contribute to the ability to execute multiple and varied tasks.

摘要

联合皮层支持认知功能,使行为具有灵活性。在此,我们通过数学形式化的方式探讨人类联合皮层的组织,即行为任务涉及多个认知成分,而这些成分又由多个重叠的脑区支持。将该模型应用于一个大型神经成像实验数据集(N = 10449),确定了额叶和顶叶区域的复杂区域,这些区域从高度特化到高度灵活不等。利用一个独立的静息态功能磁共振成像数据集(N = 1000)探索了特化和灵活区域的网络组织。专门用于相同成分的皮层区域紧密耦合,表明这些成分作为部分独立的网络发挥作用。功能灵活的区域不同程度地参与多个成分。这种异质性选择性由灵活区域和特化区域之间的连接性预测。功能灵活的区域可能支持绑定或整合专门的脑网络,进而有助于执行多种不同任务的能力。

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