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Spontaneous resting-state BOLD fluctuations reveal persistent domain-specific neural networks

机译:自发的静止状态大胆波动揭示了持久域特定的神经网络

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摘要

Resting-state functional connectivity MRI (rs-fcMRI) analyses have identified intrinsic neural networks supporting domain-general cognitive functions including language, attention, executive control and memory. The brain, however, also has a domain-specific organization, including regions that contribute to perceiving and knowing about others (the ‘social’ system) or manipulable objects designed to perform specific functions (the ‘tool’ system). These ‘social’ and ‘tool’ systems, however, might not constitute intrinsic neural networks per se, but rather only come online as needed to support retrieval of domain-specific information during social- or tool-related cognitive tasks. To address this issue, we functionally localized two regions in lateral temporal cortex activated when subjects perform social- and tool conceptual tasks. We then compared the strength of the correlations with these seed regions during rs-fcMRI. Here, we show that the ‘social’ and ‘tool’ neural networks are maintained even when subjects are not engaged in social- and tool-related information processing, and so constitute intrinsic domain-specific neural networks.
机译:静止状态功能连通性MRI(rs-fcMRI)分析已经确定了内在的神经网络,这些神经网络支持领域通用的认知功能,包括语言,注意力,执行控制和记忆。但是,大脑也具有特定领域的组织,包括有助于感知和了解他人的区域(“社会”系统)或旨在执行特定功能的可操纵对象(“工具”系统)。但是,这些“社交”和“工具”系统本身可能并不构成内在的神经网络,而是仅根据需要联机,以支持在与社交或工具有关的认知任务中检索特定领域的信息。为了解决这个问题,我们在功能上定位了当受试者执行社交和工具概念性任务时激活的外侧颞皮质的两个区域。然后,我们在rs-fcMRI期间比较了与这些种子区域的相关强度。在这里,我们表明即使受试者没有参与与社会和工具有关的信息处理,“社会”和“工具”神经网络仍会保留,因此构成了固有的领域特定神经网络。

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