The neural correlates of nominal classification rule learning and their individual differences
Bibliographic Data
| ID | 7148397 |
|---|---|
| Authors | Diego Elisandro Dardon (Miyagi University of Education, corresponding author), Haining Cui (0000-0002-0226-9906, Tohoku University), Motoaki Sugiura (0000-0001-5412-0380, Tohoku University), Hyeonjeong Jeong (0000-0002-5094-5390, Tohoku University, corresponding author) |
| Year | 2025 |
| Volume | 271 |
| Pages | 105654 |
| Publication date | 2025-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Brain and Language (JOURNAL) |
| Journal identifiers | ISSN: 0093-934X • E-ISSN: 1090-2155 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.bandl.2025.105654 |
| PMID | 41138608 |
| OpenAlex | W4415489573 |
| Language | EN |
| References cited | 52 |
Learning a second language involves not only the acquisition of abstract grammatical rules, such as word order, but also rules based on language-specific semantic distinctions, as seen in nominal classification systems. However, little is known about the neural mechanisms underlying learning of such systems. The present study examined the neural correlates of nominal classification rule learning and the role of individual differences in working memory and language analytic ability. 36 adult Japanese native speakers learned a semi-artificial language incorporating nominal classification rules (animate, small inanimate and large inanimate). Brain activation was measured using fMRI across three learning phases. The results revealed regions related to conceptual/category processing like the right superior temporal gyrus, left precentral gyrus and middle temporal gyrus. In addition, the left middle/superior areas predicted successful learning nominal classification rules. Additionally, working memory capacity negatively correlated with activation in the bilateral thalami, suggesting a potential involvement of working memory. These findings emphasize the importance of examining typologically diverse grammatical rules and provide new insights into the neural mechanisms of rule learning
Artificial neural network · Language acquisition · Learning rule · Neural correlates of consciousness · Rule-based system · Semantics (computer science) · Working memory · Action Observation and Synchronization · EEG and Brain-Computer Interfaces · Neurobiology of Language and Bilingualism
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Meta-analyzing left hemisphere language areas
Evidence from neurolinguistic methodologies
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Cognitive Predictors of Generalization of Russian Grammatical Gender Categories
Second Language Learning of Complex Inflectional Systems
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| Citation velocity | historical |
|---|---|
| Highly cited | No |