EEG analysis based on dynamic visual stimuli

This paper reviews best practices for experimental design and analysis sign language research using neurophysiological methods, such as electroencephalography (EEG) other methods with high temporal resolution, well identifies methodological challenges in on natural processing. In particular, we outline the considerations generating linguistically physically well-controlled stimuli accounting 1) layering of manual non-manual information at different timescales, 2) possible unknown linguistic non-linguistic visual cues that can affect processing, 3) variability across stimuli, 4) predictive Two specific concerns regard to interpretation observed event related potential (ERP) effects dynamic are discussed detail. First, discuss “trigger/effect assignment problem”, which describes difficulty determining time point calculating ERPs. issue is problem onset a critical (i.e., stimulus time), lack clarity how border between lexical (sign) transitional movement (motion trajectory individual signs) should be defined. Second, differences dynamics within signing might influence ERP patterns controlled when creating material studies. addition, alternative approaches EEG data analyses timestamping continuous trigger markers each potentially relevant cue stimuli. Throughout discussion, present empirical evidence need account dynamic, multi-channel, multi-timescale signal characterizes languages order ensure ecological validity languages.