We report the first use of ERP measures to identify text engagement differences when reading digitally or in print. Depth of semantic encoding is key for reading comprehension, and we predicted that deeper reading of expository texts would facilitate stronger associations with subsequently-presented related words, resulting in enhanced N400 responses to unrelated probe words and a graded attenuation of the N400 to related and moderately related words. In contrast, shallow reading would produce weaker associations between probe words and text passages, resulting in enhanced N400 responses to both moderately related and unrelated words, and an attenuated response to related words.
View Article and Find Full Text PDFBackground: The identification of an early and objective marker of language impairment in autism spectrum disorder (ASD) has the potential to lead to earlier language intervention for affected children. The mismatch negativity (MMN), a passive auditory evoked potential, offers insight into the brain's ability to direct attention to novel sounds. Since exposure to speech is necessary for learning to map meaning onto phonemes, we predicted slower MMN responses to speech sounds would indicate presence of language impairment in ASD.
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