Lexical frequency and sentence context influence the brain's response to single words

Autor: Peter Hagoort, Eleanor Huizeling, Jan-Mathijs Schoffelen, Sophie Arana
Rok vydání: 2022
Předmět:
Zdroj: Neurobiology of Language, 3, 1, pp. 149-179
Neurobiology of Language
Neurobiology of Language, 3, 149-179
ISSN: 2641-4368
DOI: 10.1162/nol_a_00054
Popis: Contains fulltext : 240461.pdf (Publisher’s version ) (Open Access) Typical adults read remarkably quickly. Such fast reading is facilitated by brain processes that are sensitive to both word frequency and contextual constraints. It is debated as to whether these attributes have additive or interactive effects on language processing in the brain. We investigated this issue by analysing existing magnetoencephalography data from 99 participants reading intact and scrambled sentences. Using a cross-validated model comparison scheme, we found that lexical frequency predicted the word-by-word elicited MEG signal in a widespread cortical network, irrespective of sentential context. In contrast, index (ordinal word position) was more strongly encoded in sentence words, in left front-temporal areas. This confirms that frequency influences word processing independently of predictability, and that contextual constraints affect word-byword brain responses. With a conservative multiple comparisons correction, only the interaction between lexical frequency and surprisal survived, in anterior temporal and frontal cortex, and not between lexical frequency and entropy, nor between lexical frequency and index. However, interestingly, the uncorrected index*frequency interaction revealed an effect in left frontal and temporal cortex that reversed in time and space for intact compared to scrambled sentences. Finally, we provide evidence to suggest that, in sentences, lexical frequency and predictability may independently influence early (150-250ms), thus helping to converge previous contradictory eye-tracking and electrophysiological literature. Current neuro-cognitive models of reading would benefit from accounting for these differing effects of lexical frequency and predictability on different stages of word processing. 31 p.
Databáze: OpenAIRE