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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl. - : Nature Publishing Group UK, 2021. : Scientific Reports, 2021 BASE Show details 2 Neural assessment of language in children (Petit et al., 2020) ... Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl. - : ASHA journals, 2020 BASE Show details 3 Neural assessment of language in children (Petit et al., 2020) ... Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl. - : ASHA journals, 2020 BASE Show details 4 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children. ... Petit, Selene; Badcock, Nicholas A; Grootswagers, Tijl. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 5 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children ... Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 6 Toward an Individualized Neural Assessment of Receptive Language in Children. ... Petit, Selene; Badcock, Nicholas A; Grootswagers, Tijl. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 7 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children ... Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 8 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl... In: Sci Rep (2020) BASE Show details 9 Toward an Individualized Neural Assessment of Receptive Language in Children. Petit, Selene; Badcock, Nicholas A; Grootswagers, Tijl; Rich, Anina N; Brock, Jon; Nickels, Lyndsey; Moerel, Denise; Dermody, Nadene; Yau, Shu; Schmidt, Elaine; Woolgar, Alexandra. - : American Speech-Language-Hearing Association, 2020. : Journal of Speech, Language, and Hearing Research, 2020 Abstract: Purpose We aimed to develop a noninvasive neural test of language comprehension to use with nonspeaking children for whom standard behavioral testing is unreliable (e.g., minimally verbal autism). Our aims were threefold. First, we sought to establish the sensitivity of two auditory paradigms to elicit neural responses in individual neurotypical children. Second, we aimed to validate the use of a portable and accessible electroencephalography (EEG) system, by comparing its recordings to those of a research-grade system. Third, in light of substantial interindividual variability in individuals' neural responses, we assessed whether multivariate decoding methods could improve sensitivity. Method We tested the sensitivity of two child-friendly covert N400 paradigms. Thirty-one typically developing children listened to identical spoken words that were either strongly predicted by the preceding context or violated lexical-semantic expectations. Context was given by a cue word (Experiment 1) or sentence frame (Experiment 2), and participants either made an overall judgment on word relatedness or counted lexical-semantic violations. We measured EEG concurrently from a research-grade system, Neuroscan's SynAmps2, and an adapted gaming system, Emotiv's EPOC+. Results We found substantial interindividual variability in the timing and topology of N400-like effects. For both paradigms and EEG systems, traditional N400 effects at the expected sensors and time points were statistically significant in around 50% of individuals. Using multivariate analyses, detection rate increased to 88% of individuals for the research-grade system in the sentences paradigm, illustrating the robustness of this method in the face of interindividual variations in topography. Conclusions There was large interindividual variability in neural responses, suggesting interindividual variation in either the cognitive response to lexical-semantic violations and/or the neural substrate of that response. Around half of our neurotypical participants showed the expected N400 effect at the expected location and time points. A low-cost, accessible EEG system provided comparable data for univariate analysis but was not well suited to multivariate decoding. However, multivariate analyses with a research-grade EEG system increased our detection rate to 88% of individuals. This approach provides a strong foundation to establish a neural index of language comprehension in children with limited communication. Supplemental Material https://doi.org/10.23641/asha.12606311. URL: https://doi.org/10.17863/CAM.55514 https://www.repository.cam.ac.uk/handle/1810/308426 BASE Hide details 10 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl. - : Nature Publishing Group UK, 2020. : Scientific Reports, 2020 BASE Show details 11 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children. Petit, Selene; Grootswagers, Tijl; Badcock, Nicholas A. - : Springer Science and Business Media LLC, 2020. : Sci Rep, 2020 BASE Show details 12 Towards an individualised neural assessment of receptive language in children Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl... In: J Speech Lang Hear Res (2020) BASE Show details 13 Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl (R20155). - : U.K., Nature Publishing Group, 2020 BASE Show details 14 Toward an individualized neural assessment of receptive language in children Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl (R20155). - : U.S., American Speech-Language-Hearing Association, 2020 BASE Show details 15 Word identification using phonetic features : towards a method to support multivariate fMRI speech decoding Grootswagers, Tijl (R20155); Dijkstra, Karen V.; Bosch, Louis Ten. - : France, International Speech Communication Association, 2013 BASE Show details

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