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Functional connectivity in the developing language network in 4-year-old children predicts future reading ability
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In: Dev Sci (2020)
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Abstract:
Understanding how pre-literate children’s language abilities and neural function relate to future reading ability is important for identifying children who may be at-risk for reading problems. Pre-literate children are already proficient users of spoken language and their developing brain networks for language become highly overlapping with brain networks that emerge during literacy acquisition. In the present longitudinal study, we examined language abilities, and neural activation and connectivity within the language network in pre-literate children (mean age = 4.2 years). We tested how language abilities, brain activation, and connectivity predict children’s reading abilities 1 year later (mean age = 5.2 years). At Time 1, children (n = 37) participated in a functional near infrared spectroscopy (fNIRS) experiment of speech processing (listening to words and pseudowords) and completed a standardized battery of language and cognitive assessments. At Time 2, children (n = 28) completed standardized reading assessments. Using psychophysiological interaction (PPI) analyses, we observed significant connectivity between the left IFG and right STG in pre-literate children, which was modulated by task (i.e., listening to words). Neural activation in left IFG and STG and increased task-modulated connectivity between the left IFG and right STG was predictive of multiple reading outcomes. Increased connectivity was associated later with increased reading ability.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/33032375 https://doi.org/10.1111/desc.13041 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186432/
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Perceptual constraints on colours induce the universality of linguistic colour categorisation
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The acceptability judgment of Chinese pseudo-modifiers with and without a sentential context
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No Morphological Markers, No Problem: ERP Study Reveals Semantic Contribution to Distinct Neural Substrates Between Noun and Verb Processing in Online Sentence Comprehension
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Cortical Responses to Chinese Phonemes in Preschoolers Predict Their Literacy Skills at School Age
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Encoding lexical tones in jTRACE: a simulation of monosyllabic spoken word recognition in Mandarin Chinese
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Temporal relation between top-down and bottom-up processing in lexical tone perception
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Review of the 9th International Conference on the Evolution of Language (Evolang9)
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In: BIOLINGUISTICS; Vol. 7 (2013); 112-131 ; 1450-3417 (2013)
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Who Is Who? Interpretation of Multiple Occurrences of the Chinese Reflexive: Evidence from Real-Time Sentence Processing
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Studying Language Change Using Price Equation and Pólya-urn Dynamics
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