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用于亚词汇信息处理的时空神经网络:颅内 SEEG 研究。

Spatiotemporal Neural Network for Sublexical Information Processing: An Intracranial SEEG Study.

机构信息

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

Beijing Institute of Otolaryngology, Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China.

出版信息

J Neurosci. 2024 Nov 6;44(45):e0717242024. doi: 10.1523/JNEUROSCI.0717-24.2024.

DOI:10.1523/JNEUROSCI.0717-24.2024
PMID:39214706
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11551892/
Abstract

Words offer a unique opportunity to separate the processing mechanisms of object subcomponents from those of the whole object, because the phonological or semantic information provided by the word subcomponents (i.e., sublexical information) can conflict with that provided by the whole word (i.e., lexical information). Previous studies have revealed some of the specific brain regions and temporal information involved in sublexical information processing. However, a comprehensive spatiotemporal neural network for sublexical processing remains to be fully elucidated due to the low temporal or spatial resolutions of previous neuroimaging studies. In this study, we recorded stereoelectroencephalography signals with high spatial and temporal resolutions from a large sample of 39 epilepsy patients (both sexes) during a Chinese character oral reading task. We explored the activated brain regions and their connectivity related to three sublexical effects: phonological regularity (whether the whole character's pronunciation aligns with its phonetic radical), phonological consistency (whether characters with the same phonetic radical share the same pronunciation), and semantic transparency (whether the whole character's meaning aligns with its semantic radical). The results revealed that sublexical effects existed in the inferior frontal gyrus, precentral and postcentral gyri, temporal lobe, and middle occipital gyrus. Additionally, connectivity from the middle occipital gyrus to the postcentral gyrus and from postcentral gyrus to the fusiform gyrus was associated with the sublexical effects. These findings provide valuable insights into the spatiotemporal dynamics of sublexical processing and object recognition in the brain.

摘要

词语提供了一个独特的机会,可以将对象子组件的处理机制与整个对象的处理机制区分开来,因为单词子组件(即次词汇信息)提供的语音或语义信息可能与整个单词(即词汇信息)提供的信息相冲突。先前的研究已经揭示了一些涉及次词汇信息处理的特定大脑区域和时间信息。然而,由于先前的神经影像学研究的时间或空间分辨率较低,一个用于次词汇处理的全面的时空神经网络仍然需要充分阐明。在这项研究中,我们在一项汉字阅读任务中,从 39 名癫痫患者(男女均有)的大量样本中记录了具有高空间和时间分辨率的立体脑电图信号。我们探讨了与三个次词汇效应相关的激活大脑区域及其连接性:语音规则性(整个字符的发音是否与它的拼音偏旁一致)、语音一致性(具有相同拼音偏旁的字符是否具有相同的发音)和语义透明度(整个字符的含义是否与它的语义偏旁一致)。结果表明,次词汇效应存在于额下回、中央前回和中央后回、颞叶和中枕叶。此外,从中枕叶到中央后回以及从中央后回到梭状回的连接与次词汇效应有关。这些发现为大脑中的次词汇处理和对象识别的时空动态提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/b53a574ef545/jneuro-44-e0717242024-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/a40d49f71ad2/jneuro-44-e0717242024-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/adf0460ec0c3/jneuro-44-e0717242024-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/36582588d2b0/jneuro-44-e0717242024-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/2f979fe47e30/jneuro-44-e0717242024-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/b53a574ef545/jneuro-44-e0717242024-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/a40d49f71ad2/jneuro-44-e0717242024-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/adf0460ec0c3/jneuro-44-e0717242024-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/36582588d2b0/jneuro-44-e0717242024-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/2f979fe47e30/jneuro-44-e0717242024-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad72/11551892/b53a574ef545/jneuro-44-e0717242024-g005.jpg

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本文引用的文献

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High-level language brain regions process sublexical regularities.高级语言脑区处理次词汇规则。
Cereb Cortex. 2024 Mar 1;34(3). doi: 10.1093/cercor/bhae077.
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Hemispheric lateralization of language processing: insights from network-based symptom mapping and patient subgroups.语言处理的半球侧化:基于网络的症状映射和患者亚组的见解。
Cereb Cortex. 2024 Jan 14;34(1). doi: 10.1093/cercor/bhad437.
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The spatiotemporal dynamics of semantic integration in the human brain.人类大脑中语义整合的时空动态。
Nat Commun. 2023 Oct 24;14(1):6336. doi: 10.1038/s41467-023-42087-8.
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The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the Granger causality analysis.丘脑是干预重度抑郁症患者的因果枢纽:来自格兰杰因果分析的证据。
Neuroimage Clin. 2023;37:103295. doi: 10.1016/j.nicl.2022.103295. Epub 2022 Dec 16.
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The emergent properties of the connected brain.联网大脑的涌现特性。
Science. 2022 Nov 4;378(6619):505-510. doi: 10.1126/science.abq2591. Epub 2022 Nov 3.
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Neural evidence suggests phonological acceptability judgments reflect similarity, not constraint evaluation.神经证据表明,语音可接受性判断反映的是相似性,而不是约束评估。
Cognition. 2023 Jan;230:105322. doi: 10.1016/j.cognition.2022.105322. Epub 2022 Nov 10.
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A middle ground where executive control meets semantics: the neural substrates of semantic control are topographically sandwiched between the multiple-demand and default-mode systems.在执行控制与语义之间的中间地带:语义控制的神经基质在多需求系统和默认模式系统之间呈地形学上的夹心状。
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