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静息态神经活动跨越选择性面部皮质区域与行为相关。

Resting-state neural activity across face-selective cortical regions is behaviorally relevant.

机构信息

State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.

出版信息

J Neurosci. 2011 Jul 13;31(28):10323-30. doi: 10.1523/JNEUROSCI.0873-11.2011.

Abstract

Interest has increased recently in correlations across brain regions in the resting-state fMRI blood oxygen level-dependent (BOLD) response, but little is known about the functional significance of these correlations. Here we directly test the behavioral relevance of the resting-state correlation between two face-selective regions in human brain, the occipital face area (OFA) and the fusiform face area (FFA). We found that the magnitude of the resting-state correlation, henceforth called functional connectivity (FC), between OFA and FFA correlates with an individual's performance on a number of face-processing tasks, not non-face tasks. Further, we found that the behavioral significance of the OFA/FFA FC is independent of the functional activation and the anatomical size of either the OFA or FFA, suggesting that face processing depends not only on the functionality of individual face-selective regions, but also on the synchronized spontaneous neural activity between them. Together, these findings provide strong evidence that the functional correlations in the BOLD response observed at rest reveal functionally significant properties of cortical processing.

摘要

最近,人们对静息状态功能磁共振成像血氧水平依赖(BOLD)反应中脑区之间的相关性产生了浓厚的兴趣,但这些相关性的功能意义知之甚少。在这里,我们直接测试了人类大脑中两个选择性面孔区域(枕叶面孔区(OFA)和梭状回面孔区(FFA))之间静息状态相关性的行为相关性。我们发现,OFA 和 FFA 之间静息状态相关性的大小,以下称为功能连接(FC),与个体在多项面孔处理任务中的表现相关,而非非面孔任务。此外,我们发现 OFA/FFA FC 的行为意义独立于 OFA 或 FFA 的功能激活和解剖大小,这表明面孔处理不仅取决于个体选择性面孔区域的功能,还取决于它们之间同步的自发神经活动。总的来说,这些发现提供了强有力的证据,表明在静息状态下观察到的 BOLD 反应中的功能相关性揭示了皮质处理的功能重要特性。

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The fusiform face area is enlarged in Williams syndrome.梭状回面部区在威廉姆斯综合征中增大。
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Intrinsically organized network for face perception during the resting state.静息状态下用于面部感知的内在组织网络。
Neurosci Lett. 2009 Apr 17;454(1):1-5. doi: 10.1016/j.neulet.2009.02.054. Epub 2009 Feb 28.
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Predicting human resting-state functional connectivity from structural connectivity.从结构连接性预测人类静息态功能连接性。
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