Spatiotemporally distributed frontotemporal networks for sentence reading.
Spatiotemporally distributed frontotemporal networks for sentence reading.
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DOI：
10.1073/pnas.2300252120
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发表时间：
2023-04-25
影响因子：
11.1
通讯作者：
Abf, Nitin Tandon
中科院分区：
文献类型：
--
作者：
Woolnough, Oscar;Donos, Cristian;Murphy, Elliot;Rollo, Patrick S.;Roccaforte, Zachary J.;Dehaene, Stanislas;Abf, Nitin Tandon
人类语言网络横跨额叶和颞叶皮质。目前还不清楚这个网络的子区域是否对句子理解有不同的贡献。我们监测植入了颅内电极的患者在阅读常规句子和缺乏意义或结构的句子时的神经活动。我们发现了两个功能截然不同的横跨额叶和颞叶皮质的网络。第一个网络的活跃度在句子中逐渐增加，但在词汇表中却没有增加，从而索引了句子中意义的积累。第二个网络显示，相对于词表，句子中单词的活跃度降低，这表明句子语境促进了对单个单词的加工。我们的研究揭示了语言网络以前不为人知的组织原则，将句子理解的核心成分划分在时空分布的网络上。阅读一个句子需要整合单个单词的含义，以推断出更复杂、更高层次的含义。这种高度快速和复杂的人类行为被认为涉及语言占主导地位的大脑半球的额下回(IFG)和颞中回(MTG)，但这些区域是否对句子阅读有明显的贡献仍不清楚。为了探索这些神经时空动力学，我们使用直接的颅内记录来测量阅读句子时的神经活动，缺乏意义的Jabberwocky句子，以及单词或假词的列表。我们分离了两个功能和时空上不同的额时网络，每个网络对单词和句子组成的不同方面都很敏感。第一个分布式网络与IFG和MTG接合，其中IFG活动先于MTG。这个网络中的活动随着句子的持续时间而增加，在Jabberwocky和词汇表中减少或消失，这意味着它在句子层面的意义的推导中发挥了作用。第二个网络涉及上颞回和IFG，时间反应领先于额叶，并且对列表中的每个单词的激活程度高于句子中的单词，这表明句子语境能够更有效地处理单个单词的词汇和/或语音。这些相邻的、但在时空上不可关联的神经机制，用于单词和句子级别的处理，揭示了使我们能够流畅阅读的丰富分层的语义网络。这些结果表明，额叶-时间结构网络中的分布式、动态计算，而不是额叶和时间结构的贡献之间存在明显的二分法。
The human language network is represented across frontal and temporal cortices. It is unclear whether subregions of this network differentially contribute to sentence comprehension. We monitored neural activity of patients implanted with intracranial electrodes as they read regular sentences and sentences deficient of meaning or structure. We uncovered two functionally distinct networks spanning frontotemporal cortex. Activity of the first network progressively increased across sentences, but not word lists, indexing the buildup of meaning across sentences. The second network showed reduced activity for words in sentences relative to word lists, suggesting that sentential context facilitates the processing of individual words. Our study exposes previously unknown organizational principles of the language network, parcellating core components of sentence comprehension across spatiotemporally distributed networks. Reading a sentence entails integrating the meanings of individual words to infer more complex, higher-order meaning. This highly rapid and complex human behavior is known to engage the inferior frontal gyrus (IFG) and middle temporal gyrus (MTG) in the language-dominant hemisphere, yet whether there are distinct contributions of these regions to sentence reading is still unclear. To probe these neural spatiotemporal dynamics, we used direct intracranial recordings to measure neural activity while reading sentences, meaning-deficient Jabberwocky sentences, and lists of words or pseudowords. We isolated two functionally and spatiotemporally distinct frontotemporal networks, each sensitive to distinct aspects of word and sentence composition. The first distributed network engages the IFG and MTG, with IFG activity preceding MTG. Activity in this network ramps up over the duration of a sentence and is reduced or absent during Jabberwocky and word lists, implying its role in the derivation of sentence-level meaning. The second network engages the superior temporal gyrus and the IFG, with temporal responses leading those in frontal lobe, and shows greater activation for each word in a list than those in sentences, suggesting that sentential context enables greater efficiency in the lexical and/or phonological processing of individual words. These adjacent, yet spatiotemporally dissociable neural mechanisms for word- and sentence-level processes shed light on the richly layered semantic networks that enable us to fluently read. These results imply distributed, dynamic computation across the frontotemporal language network rather than a clear dichotomy between the contributions of frontal and temporal structures.
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影响因子：
3.4
作者：
Fedorenko, Evelina;Blank, Idan Asher;Mineroff, Zachary
通讯作者：
Mineroff, Zachary
影响因子：
3.7
作者：
Frank SL;Yang J
通讯作者：
Yang J
影响因子：
2.5
作者：
Fedorenko, Evelina;Fillmore, Paul;Fridriksson, Julius
通讯作者：
Fridriksson, Julius
DOI：
10.1073/pnas.1612132113
发表时间：
2016-10-11
影响因子：
11.1
作者：
Fedorenko, Evelina;Scott, Terri L.;Kanwisher, Nancy
通讯作者：
Kanwisher, Nancy
影响因子：
29.9
作者：
Chen, Lang;Ralph, Matthew A. Lambon;Rogers, Timothy T.
通讯作者：
Rogers, Timothy T.