| dc.description.abstract | This study aimed to investigate the effects of Visually-Evoked Spread Spectrum Response Potential (VESPA), a new procedure, and regression Event-related Potential (rERP), a analysis method, in language experiments using electroencephalography (EEG). Traditional Event-related Potentials (ERP) often require a large number of trials for averaging, resulting in time-consuming and potentially tedious procedures. To address these limitations, VESPA and rERP were introduced to streamline the experimental process while ensuring reliable outcomes.
The study employed two contexts of language stimuli: orthographic forms (including symbols, nonwords and real words) and verbs with grammatical or ungrammatical suffixes. Dependent variables were mean amplitudes of four ERP components, including N100, N170, P200, and N400. Notably, the present study was the first one applying VESPA paradigm and rERP analyses to investigate language processes. It is essential to compare them with traditional ERP methods Correlation analysis was conducted to assess the effectiveness of these approaches, revealing a high degree of similarity in data analysis. These findings indicate that VESPA and rERP can yield clean and comparable data to traditional procedures, while also reducing the duration of the experiments. Moreover, symbol stimuli exhibited the strongest correlation, suggesting that simpler stimuli with lower cognitive load are particularly suitable when employing the VESPA method.
The results of this study underscore the potential of VESPA and rERP as efficient procedures and analysis methods applicable to a wide range of domains, including language learning research and clinical practice. By implementing these methods, researchers can design more comprehensive experiments while effectively eliminating baseline noise, thereby making significant differences more discernible. Future research can build upon these findings to further refine visual stimulus procedures and analysis methods. | en_US |