Zongqing Tu , Liyun Dai , Baogang Zhang , Sihan Chen , Yuanyuan Yang , Deqi Meng , Yizhou Gong , Jiancheng Sun
{"title":"Revealing human brain syntactic processing: Insights from voxel-wise models and network representation","authors":"Zongqing Tu , Liyun Dai , Baogang Zhang , Sihan Chen , Yuanyuan Yang , Deqi Meng , Yizhou Gong , Jiancheng Sun","doi":"10.1016/j.bandl.2025.105569","DOIUrl":null,"url":null,"abstract":"<div><div>Syntax serves as the framework that organizes words and is crucial for the human brain to comprehend language. However, the details of how the brain processes syntax remain poorly understood. Here, using functional magnetic resonance imaging (fMRI) data obtained from subjects listening to narratives, we developed voxel-wise models of syntax at the word-pair level from a data-driven perspective. Our findings suggest that the intensity of activation varies across brain regions when processing the same syntactic structure. In addition, using syntactic structures, we constructed syntactic networks for each voxel. The syntactic network provides a knowledge representation of syntax in the brain and further validates the differences in various brain regions during syntactic processing. Accordingly, our study highlights the intricate nature of the syntactic processing system of the brain and provides new insights into how the brain processes logical structures in language.</div></div>","PeriodicalId":55330,"journal":{"name":"Brain and Language","volume":"265 ","pages":"Article 105569"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain and Language","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0093934X25000380","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
Revealing human brain syntactic processing: Insights from voxel-wise models and network representation
Syntax serves as the framework that organizes words and is crucial for the human brain to comprehend language. However, the details of how the brain processes syntax remain poorly understood. Here, using functional magnetic resonance imaging (fMRI) data obtained from subjects listening to narratives, we developed voxel-wise models of syntax at the word-pair level from a data-driven perspective. Our findings suggest that the intensity of activation varies across brain regions when processing the same syntactic structure. In addition, using syntactic structures, we constructed syntactic networks for each voxel. The syntactic network provides a knowledge representation of syntax in the brain and further validates the differences in various brain regions during syntactic processing. Accordingly, our study highlights the intricate nature of the syntactic processing system of the brain and provides new insights into how the brain processes logical structures in language.
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.