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  Exploring the neurobiology of Merge at a basic level: Insights from a novel artificial grammar paradigm

Liu, Y., Gao, C., Wang, P., Friederici, A. D., Zaccarella, E., & Chen, L. (2023). Exploring the neurobiology of Merge at a basic level: Insights from a novel artificial grammar paradigm. Frontiers in Psychology, 14: 1151518. doi:10.3389/fpsyg.2023.1151518.

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 Creators:
Liu, Yang1, Author
Gao, Chenyang2, Author
Wang, Peng3, 4, 5, Author           
Friederici, Angela D.6, Author                 
Zaccarella, Emiliano6, Author                 
Chen, Luyao1, 6, 7, Author           
Affiliations:
1Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, China, ou_persistent22              
2School of Global Education and Development, University of Chinese Academy of Social Sciences, Beijing, China, ou_persistent22              
3Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              
4Department of Psychology, Ernst Moritz Arndt University of Greifswald, Germany, ou_persistent22              
5Department of Psychology, University of Regensburg, Germany, ou_persistent22              
6Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
7Institute of Educational System Science, Beijing Normal University, China, ou_persistent22              

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Free keywords: Broca’s area; Merge; Syntactic processing; Natural language comprehension; fMRI
 Abstract: Introduction: Human language allows us to generate an infinite number of linguistic expressions. It's proposed that this competence is based on a binary syntactic operation, Merge, combining two elements to form a new constituent. An increasing number of recent studies have shifted from complex syntactic structures to two-word constructions to investigate the neural representation of this operation at the most basic level.

Methods: This fMRI study aimed to develop a highly flexible artificial grammar paradigm for testing the neurobiology of human syntax at a basic level. During scanning, participants had to apply abstract syntactic rules to assess whether a given two-word artificial phrase could be further merged with a third word. To control for lower-level template-matching and working memory strategies, an additional non-mergeable word-list task was set up.

Results: Behavioral data indicated that participants complied with the experiment. Whole brain and region of interest (ROI) analyses were performed under the contrast of "structure > word-list." Whole brain analysis confirmed significant involvement of the posterior inferior frontal gyrus [pIFG, corresponding to Brodmann area (BA) 44]. Furthermore, both the signal intensity in Broca's area and the behavioral performance showed significant correlations with natural language performance in the same participants. ROI analysis within the language atlas and anatomically defined Broca's area revealed that only the pIFG was reliably activated.

Discussion: Taken together, these results support the notion that Broca's area, particularly BA 44, works as a combinatorial engine where words are merged together according to syntactic information. Furthermore, this study suggests that the present artificial grammar may serve as promising material for investigating the neurobiological basis of syntax, fostering future cross-species studies.

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Language(s): eng - English
 Dates: 2023-01-262023-03-092023-05-23
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fpsyg.2023.1151518
Other: eCollection 2023
PMID: 37287773
PMC: PMC10242141
 Degree: -

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Project name : -
Grant ID : 22CYY017
Funding program : -
Funding organization : National Social Science Foundation of China

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Title: Frontiers in Psychology
  Abbreviation : Front Psychol
Source Genre: Journal
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Publ. Info: Pully, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 14 Sequence Number: 1151518 Start / End Page: - Identifier: ISSN: 1664-1078
CoNE: https://pure.mpg.de/cone/journals/resource/1664-1078