Phase synchronization during the processing of taxonomic and thematic relations

IF 2.1 2区心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2024-01-18 DOI:10.1016/j.bandl.2024.105379

Erica Adezati , Xianqing Liu , Junhua Ding , Melissa Thye , Jerzy P. Szaflarski , Daniel Mirman

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Abstract

Semantic relations include “taxonomic” relations based on shared features and “thematic” relations based on co-occurrence in events. The “dual-hub” account proposes that the anterior temporal lobe (ATL) is functionally specialized for taxonomic relations and the inferior parietal lobule (IPL) for thematic relations. This study examined this claim by analyzing the intra- and inter-region phase synchronization of intracranial EEG data from electrodes in the ATL, IPL, and two subregions of the semantic control network: left inferior frontal gyrus (IFG) and posterior middle temporal gyrus (pMTG). Ten participants with epilepsy completed a semantic relatedness judgment task during intracranial EEG recording and had electrodes in at least one hub and at least one semantic control region. Theta band phase synchronization was partially consistent with the dual-hub account: synchronization between the ATL and IFG/pMTG increased when processing taxonomic relations, and synchronization within the IPL and between IPL and pMTG increased when processing thematic relations.

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分类和主题关系处理过程中的阶段同步

语义关系包括基于共同特征的 "分类 "关系和基于事件共现的 "主题 "关系。双枢纽 "理论认为，前颞叶（ATL）在功能上专门负责分类关系，而下顶叶（IPL）则负责主题关系。本研究通过分析来自 ATL、IPL 和语义控制网络的两个亚区（左额下回 (IFG) 和颞中回后部 (pMTG)）电极的颅内脑电图数据的区内和区间相位同步，对这一观点进行了检验。十名癫痫患者在颅内脑电图记录期间完成了一项语义相关性判断任务，他们的电极至少位于一个中枢和至少一个语义控制区。θ波段相位同步与双枢纽理论部分一致：在处理分类关系时，ATL与IFG/pMTG之间的同步增加；在处理主题关系时，IPL内部以及IPL与pMTG之间的同步增加。

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来源期刊

Brain and Language 医学-神经科学

CiteScore

4.50

自引率

8.00%

发文量

审稿时长

20.5 weeks

期刊介绍： An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.