Delta-band neural tracking primarily reflects rule-based chunking instead of semantic relatedness between words

Author:

Lu Yuhan12345ORCID,Jin Peiqing45,Ding Nai456,Tian Xing1237

Affiliation:

1. Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education) , School of Psychology and Cognitive Science, , Shanghai 200062 , China

2. East China Normal University , School of Psychology and Cognitive Science, , Shanghai 200062 , China

3. NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai 200062, China

4. Key Laboratory for Biomedical Engineering of Ministry of Education , College of Biomedical Engineering and Instrument Sciences, , Hangzhou 310027 , China

5. Zhejiang University , College of Biomedical Engineering and Instrument Sciences, , Hangzhou 310027 , China

6. Research Center for Applied Mathematics and Machine Intelligence, Research Institute of Basic Theories, Zhejiang Lab , Hangzhou 311121 , China

7. Division of Arts and Sciences, New York University Shanghai

Abstract

Abstract It is debated whether cortical responses matching the time scales of phrases and sentences mediate the mental construction of the syntactic chunks or are simply caused by the semantic properties of words. Here, we investigate to what extent delta-band neural responses to speech can be explained by semantic relatedness between words. To dissociate the contribution of semantic relatedness from sentential structures, participants listened to sentence sequences and paired-word sequences in which semantically related words repeated at 1 Hz. Semantic relatedness in the 2 types of sequences was quantified using a word2vec model that captured the semantic relation between words without considering sentential structure. The word2vec model predicted comparable 1-Hz responses with paired-word sequences and sentence sequences. However, empirical neural activity, recorded using magnetoencephalography, showed a weaker 1-Hz response to paired-word sequences than sentence sequences in a word-level task that did not require sentential processing. Furthermore, when listeners applied a task-related rule to parse paired-word sequences into multi-word chunks, 1-Hz response was stronger than that in word-level task on the same sequences. Our results suggest that cortical activity tracks multi-word chunks constructed by either syntactic rules or task-related rules, whereas the semantic relatedness between words contributes only in a minor way.

Funder

Program of Introducing Talents of Discipline to Universities

Natural Science Foundation of Shanghai

Key R&D Program of Zhejiang Lab

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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