Revealing the neural networks that extract conceptual gestalts from continuously evolving or changing semantic contexts
Revealing the neural networks that extract conceptual gestalts from continuously evolving or changing semantic contexts
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揭示从不断发展或变化的语义上下文中提取概念格式塔的神经网络
DOI：
10.1101/666370
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Branzi F
中科院分区：
文献类型：
--
作者：
Branzi F
阅读一本书，理解新闻报道或任何其他涉及处理有意义刺激的行为都需要语义系统具有两个主要特征：在一段较长的时间内处于活跃状态，并根据不断变化的环境灵活地调整内部表征。尽管是许多日常任务的关键特征，但语义“完形”的形成和更新仍然知之甚少。在这项功能磁共振成像研究中，我们使用自然主义的刺激和任务操作，以确定的神经网络，形成和更新概念完形在时间延长的整合有意义的刺激。单变量和多变量技术使我们能够区分对形成语义完形（意义整合）至关重要的网络和对连接当前上下文的传入线索（例如，时间和空间线索）转换为模式表示。具体来说，我们发现，概念完形的时间延长的形成反映在前颞叶的神经计算伴随着多需求区和海马，在右半球的大脑结构的关键作用。这种“语义完形网络”强烈招募时，需要在叙事过程中更新当前的语义表示。相反，一个独特的额顶叶网络，被招募的上下文整合，独立于单词之间的意义关联（语义连贯性）。最后，与假设默认模式网络（DMN）可能在语义认知中起关键作用的帐户相比，我们的研究结果显示，DMN活动对任务难度敏感，但对语义整合不敏感。这些研究结果的语义认知的神经认知模型和叙事处理的文献的影响进行了讨论。
Reading a book, understanding the news reports or any other behaviour involving the processing of meaningful stimuli requires the semantic system to have two main features: being active during an extended period of time and flexibly adapting the internal representation according to the changing environment. Despite being key features of many everyday tasks, formation and updating of the semantic “gestalt” are still poorly understood. In this fMRI study we used naturalistic stimuli and task manipulations to identify the neural network that forms and updates conceptual gestalts during time-extended integration of meaningful stimuli. Univariate and multivariate techniques allowed us to draw a distinction between networks that are crucial for the formation of a semantic gestalt (meaning integration) and those that instead are important for linking incoming cues about the current context (e.g., time and space cues) into a schema representation. Specifically, we revealed that time-extended formation of the conceptual gestalt was reflected in the neuro-computations of the anterior temporal lobe accompanied by multi-demand areas and hippocampus, with a key role of brain structures in the right hemisphere. This “semantic gestalt network” was strongly recruited when an update of the current semantic representation was required during narrative processing. A distinct fronto-parietal network, instead, was recruited for context integration, independently from the meaning associations between words (semantic coherence). Finally, in contrast with accounts positing that the default mode network (DMN) may have a crucial role in semantic cognition, our findings revealed that DMN activity was sensitive to task difficulty, but not to semantic integration. The implications of these findings for neurocognitive models of semantic cognition and the literature on narrative processing are discussed.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.4
作者：
Rogers, TT;Ralph, MAL;Patterson, K
通讯作者：
Patterson, K
影响因子：
5.3
作者：
Price, Amy Rose;Peelle, Jonathan E.;Hamilton, Roy H.
通讯作者：
Hamilton, Roy H.
影响因子：
14.5
作者：
St George, M;Kutas, M;Sereno, MI
通讯作者：
Sereno, MI
角回参与编码和检索与持久但不太具体的记忆相关
影响因子：
5.3
作者：
Mieke van der Linden;R. Berkers;R. Morris;G. Fernández
通讯作者：
G. Fernández