Journal
HUMAN BRAIN MAPPING
Volume 42, Issue 10, Pages 3253-3268Publisher
WILEY
DOI: 10.1002/hbm.25432
Keywords
artificial grammar; associative processing; fMRI; hierarchical syntactic processing; language network; syntactic category
Funding
- Max-Planck-Institut fur Kognitions- und Neurowissenschaften
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The study investigates the impact of hierarchical structures in artificial grammar on the brain's syntax processing, revealing that the construction of syntax critically depends on a unique left-hemispheric syntactic network involving Broca's area BA 44 and the posterior superior temporal gyrus. This suggests that the novel artificial grammar can serve as a suitable experimental tool to study syntax-specific processes in the human brain.
Grammar is central to any natural language. In the past decades, the artificial grammar of the A(n)B(n) type in which a pair of associated elements can be nested in the other pair was considered as a desirable model to mimic human language syntax without semantic interference. However, such a grammar relies on mere associating mechanisms, thus insufficient to reflect the hierarchical nature of human syntax. Here, we test how the brain imposes syntactic hierarchies according to the category relations on linearized sequences by designing a novel artificial Hierarchical syntactic structure-building Grammar (HG), and compare this to the A(n)B(n) grammar as a Nested associating Grammar (NG) based on multilevel associations. Thirty-six healthy German native speakers were randomly assigned to one of the two grammars. Both groups performed a grammaticality judgment task on auditorily presented word sequences generated by the corresponding grammar in the scanner after a successful explicit behavioral learning session. Compared to the NG group, we found that the HG group showed a (a) significantly higher involvement of Brodmann area (BA) 44 in Broca's area and the posterior superior temporal gyrus (pSTG); and (b) qualitatively distinct connectivity between the two regions. Thus, the present study demonstrates that the build-up process of syntactic hierarchies on the basis of category relations critically relies on a distinctive left-hemispheric syntactic network involving BA 44 and pSTG. This indicates that our novel artificial grammar can constitute a suitable experimental tool to investigate syntax-specific processes in the human brain.
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