4.4 Article

Neural correlates of verb argument structure processing

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JOURNAL OF COGNITIVE NEUROSCIENCE
卷 19, 期 11, 页码 1753-1767

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MIT PRESS
DOI: 10.1162/jocn.2007.19.11.1753

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  1. NIDCD NIH HHS [R01 DC001948, R01 DC001948-14, R01-DC01984-14] Funding Source: Medline

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Neuroimaging and lesion studies suggest that processing of word classes, such as verbs and nouns, is associated with distinct neural mechanisms. Such studies also suggest that subcategories within these broad word class categories are differentially processed in the brain. Within the class of verbs, argument Structure provides one linguistic dimension that distinguishes among verb exemplars, with some requiring more complex argument Structure entries than others. This study examined the neural instantiation of verbs by argument Structure complexity: one-, two-, and three-argument verbs. Stimuli of each type, along with nouns and pseudowords, were presented for lexical decision using an event-related functional magnetic resonance imaging design. Results for 14 young normal participants indicated largely overlapping activation maps for verbs and nouns, with 110 areas of significant activation for verbs compared to nouns, or vice versa. Pseudowords also engaged neural tissue overlapping with that for both word classes, with more widespread activation noted in Visual, motor, and peri-sylvian regions. Examination of verbs by argument Structure revealed activation of the supramarginal a;id angular gyri, limited to the left hemisphere only when verbs with two obligatory arguments were compared to verbs with a single argument. However, bilateral activation was noted when both two- and three-argument verbs were compared to one-argument verbs. These findings suggest that posterior peri-sylvian regions are engaged for processing argument structure information associated with verbs, with increasing neural tissue in the inferior parietal region associated with increasing argument structure complexity. These findings are consistent with processing accounts, which suggest that these regions are crucial for semantic integration.

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