Dataset Information

Brain bases of language selection: MEG evidence from Arabic-English bilingual language production.

ABSTRACT: Much of the world's population is bilingual, hence, language selection is a core component of language processing in a significant proportion of individuals. Though language selection has been investigated using artificial cues to language choice such as color, little is known about more ecologically valid cues. We examined with MEG the neurophysiological and behavioral effects of two natural cues: script and cultural context, hypothesizing the former to trigger more automatic language selection. Twenty Arabic-English bilinguals performed a number-naming task with a Match condition, where the cue and target language of response matched, and a Mismatch condition, with opposite instruction. The latter addressed the mechanisms responsible for overriding natural cue-language associations. Early visual responses patterned according to predictions from prior object recognition literature, while at 150-300 ms, the anterior cingulate cortex showed robust sensitivity to cue-type, with enhanced amplitudes to culture trials. In contrast, a mismatch effect for both cue-types was observed at 300-400 ms in the left inferior prefrontal cortex. Our findings provide the first characterization of the spatio-temporal profile of naturally cued language selection and demonstrate that natural but less automatic language-choice, elicited by cultural cues, does not engage the same mechanisms as the clearly unnatural language-choice of our mismatch tasks.

SUBMITTER: Blanco-Elorrieta E

PROVIDER: S-EPMC4318278 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Brain bases of language selection: MEG evidence from Arabic-English bilingual language production.

Blanco-Elorrieta Esti E Pylkkänen Liina L

Frontiers in human neuroscience 20150205

Much of the world's population is bilingual, hence, language selection is a core component of language processing in a significant proportion of individuals. Though language selection has been investigated using artificial cues to language choice such as color, little is known about more ecologically valid cues. We examined with MEG the neurophysiological and behavioral effects of two natural cues: script and cultural context, hypothesizing the former to trigger more automatic language selection ...[more]

PMID: 25698957

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Project description:Purpose The purpose of this study was to examine the diagnostic accuracy of traditional measures of phonological ability developed for monolingual English-speaking children with their bilingual peers in both English and Spanish. We predicted that a composite measure, derived from a combination of English and Spanish phonological measures, would result in higher diagnostic accuracy than examining the individual phonological measures of bilingual children separately by language. Method Sixty-six children, ages 3;3-6;3 (years;months), participated in this study: 29 typically developing bilingual Spanish-English-speaking children (x = 5;3), five bilingual Spanish-English-speaking children with speech sound disorders (x = 4;6), 26 typically developing monolingual English-speaking children (x = 4;8), and six monolingual English-speaking children with speech sound disorders (x = 4;9). Children were recorded producing single words using the Assessments of English and Spanish Phonology, and productions were phonetically transcribed and analyzed using the Logical International Phonetics Program. Overall consonants correct-revised; accuracy of early-, middle-, and late-developing sounds; and percent occurrence of phonological error patterns in both English and Spanish were calculated. Receiver operating characteristic curves and support vector machine models were applied to observe diagnostic accuracy, separately and combined, for each speaker group and each language. Results Findings indicated the combination of measures improved diagnostic accuracy within both the English and Spanish of bilingual children and significantly increased accuracy when measures from both languages of bilingual children were combined. Combining measures for the productions of monolingual English-speaking children did not increase diagnostic accuracy. Conclusion To prevent misdiagnosis of speech sound disorders in bilingual preschoolers, the composite phonological abilities of bilingual children need to be assessed across both gross and discrete measures of phonological ability. Supplemental Material https://doi.org/10.23641/asha.16632604.

Dataset Information

Brain bases of language selection: MEG evidence from Arabic-English bilingual language production.

Publications

Brain bases of language selection: MEG evidence from Arabic-English bilingual language production.

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