2017
DOI: 10.1523/eneuro.0311-16.2017
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Electrophysiology Reveals the Neural Dynamics of Naturalistic Auditory Language Processing: Event-Related Potentials Reflect Continuous Model Updates

Abstract: The recent trend away from ANOVA-based analyses places experimental investigations into the neurobiology of cognition in more naturalistic and ecologically valid designs within reach. Using mixed-effects models for epoch-based regression, we demonstrate the feasibility of examining event-related potentials (ERPs), and in particular the N400, to study the neural dynamics of human auditory language processing in a naturalistic setting. Despite the large variability between trials during naturalistic stimulation,… Show more

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Cited by 53 publications
(53 citation statements)
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“…Nonetheless, the naturalistic paradigms remain crucial for understanding speech and language processing in its full complexity, where interactions between both local linguistic and global contextual features, both linguistic (cf. Alday, Schlesewsky, & Bornkessel-Schlesewsky, 2017) and paralinguistic (Tromp, Peeters, Meyer, & Hagoort, 2017), matter as well as their constant, continuous overlap (cf. Steinberg, Truckenbrodt, & Jacobsen, 2012, who found that stimulus splicing and the resultant misleading formant transitions impact phonological processing).…”
Section: Intentional Omissionsmentioning
confidence: 99%
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“…Nonetheless, the naturalistic paradigms remain crucial for understanding speech and language processing in its full complexity, where interactions between both local linguistic and global contextual features, both linguistic (cf. Alday, Schlesewsky, & Bornkessel-Schlesewsky, 2017) and paralinguistic (Tromp, Peeters, Meyer, & Hagoort, 2017), matter as well as their constant, continuous overlap (cf. Steinberg, Truckenbrodt, & Jacobsen, 2012, who found that stimulus splicing and the resultant misleading formant transitions impact phonological processing).…”
Section: Intentional Omissionsmentioning
confidence: 99%
“…The authors used ridge regression to calculate the TRF and found a negativity with a latency and distribution corresponding to a traditional N400. Broderick and colleagues hesitated to use the N400 label, however, as they had no cloze probability manipulation; nonetheless, in light of more recent N400 perspectives (Kutas & Federmeier, 2011) beyond discrete components (Alday et al, 2017), the resulting component can safely be classified as an N400. Furthermore, noise and cocktail-party attention manipulations attenuated this response.…”
Section: Scaling Up: Using Modern Statistical and Computational Appromentioning
confidence: 99%
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“…Compared to traditional null-hypothesis significance testing, i.e. repeated-measures ANOVAs, multilevel models do not only address the potential significance of a difference between conditions but estimate the difference itself (for more information about multilevel modelling see Alday, Schlesewsky, & Bornkessel-Schlesewsky, 2017; for general information regarding estimation see Cumming, 2014) (Alday et al, 2017). Parameters estimates can be interpreted as statistically significant (in line with traditional null-hypothesis significance testing) if their credible intervals do not contain zero.…”
Section: Statistical Analysesmentioning
confidence: 99%