How Grammar Conveys Meaning: Language-Specific Spatial Encoding Patterns and Cross-Language Commonality in...

Area of Science:

• Neuroscience
• Linguistics
• Cognitive Science

Background:

• Human languages convey meaning through content words and grammatical structures like sentence structure and inflections.
• Understanding how the bilingual brain represents grammatical meanings across different languages remains a key question in cognitive neuroscience.

Purpose of the Study:

• To investigate if common neural signatures for grammatical meanings exist in the bilingual human brain.
• To determine if grammatical constructions can be identified across languages based on neural representations.

Main Methods:

• Functional magnetic resonance imaging (fMRI) was used to collect brain activity data from bilingual individuals.
• The study analyzed inter-sentence neural similarity spaces and spatially matched activation patterns.
• Machine learning models were employed to identify grammatical constructions across languages.

Main Results:

• Models trained on one language could reliably identify grammatical constructions in another language based on neural similarity spaces.
• Cross-language identification using spatially matched activation patterns showed only marginal accuracy.
• Neural representations of grammatical meaning were found in interleaved, common bilateral brain regions, but were language-specific in their activation patterns.

Conclusions:

• Grammatical meaning is represented by language-specific neural activation patterns, distinct from lexical semantics.
• The commonality of grammatical meaning is reflected in the preserved relationships within neural similarity spaces across languages.
• These findings suggest that while the neural implementation of grammar is language-dependent, the underlying grammatical meaning representation shows cross-language preservation.