Poster E68, Monday, March 27, 2:30 – 4:30 pm, Pacific Concourse
Electrophysiological Language Processing Signals Over Time: A Study of the Retest Reliability of the N400 and P600 Event-Related Potential Components
Erin Kohnke1, Mandy Faretta-Stutenberg2, Darren Tanner3, Kara Morgan-Short1; 1University of Illinois at Chicago, 2Northern Illinois University, 3University of Illinois at Urbana-Champaign
Electroencephalography (EEG) is an increasingly popular tool among language researchers interested in understanding the neural processes underlying language behavior and processing. Using EEG, it is possible to identify specific event-related potentials (ERPs) that are associated with particular language processing events, such as the N400 component (a negative-going wave maximal around 400 ms post-stimulus onset), thought to be linked to semantic processing, and the P600 component (positive-going waveform, maximal around 600 ms post-stimulus onset), often associated with syntactic or combinatorial processing. Although non-linguistic ERP effects have been found to be moderately reliable over time (Hammerer et. al, 2013; Cassidy, Robertson & O’Connell, 2012; Weinberg & Hajcak, 2011; Gasper, Rousselet & Pernet, 2011), little is known regarding the retest reliability of language-related components such as the N400 and P600 (Tanner & Bulkes, 2015). The present experiment seeks to analyze the reliability of these two ERP components in native-language processing. In order to assess the stability of processing signatures over time, EEG data were recorded from monolingual English-speaking participants as they completed a grammaticality judgment task in English at two testing sessions separated by approximately 4.5 months. Analysis with ANOVAs comparing the responses at the two sessions did not reveal significant differences in either the N400 or P600 across the two sessions. These findings support the assumption that the N400 and P600 components are reliable over time in the absence of language development. These results have important implications for previous and future studies that investigate longitudinal change and stability in language processing signatures.
Topic Area: LANGUAGE: Other