Figure 1
From: The neural basis of authenticity recognition in laughter and crying
N100 and P200 differentiate between authentic and acted vocalisations. Left panel: grand-average ERP waveforms in response to authentic, acted, and neutral vocalisations for components N100 (80–200 ms; top), P200 (180–350 ms; middle), and LPC (500–1000 ms; bottom), collapsed across laughter and crying. Topographical maps represent the components averaged across the 4 conditions (authentic/acted laughter and crying), within the time windows of interest. Grey-shaded areas represent the analysis time window. Right panel shows box plots of the measured ERP amplitudes. For each box plot, black horizontal line represents the mean, black vertical line is one standard deviation, and coloured patches represent 95% within-subject confidence intervals. Statistically significant effects (Bonferroni-corrected p < 0.05) of authenticity are signalled with an asterisk.
