Figure 4: Mean WPS for autistic and non-autistic participants relative to age (in bins of 10 years).
We conducted an ANCOVA on the mean WPS with group as a between subjects variable and age as a covariate. The ANCOVA yielded no significant effect of group (F (1,865)=0.227, p =.634) or age (F (1,865), p =.053) on the WPS.
Rapid temporal recalibration. To measure rapid temporal recalibration, we excluded the first trial and split the rest into two categories: those following trials with either a -500 or -260 ms SOA (audition leads), and those following trials with a 260 or 500 ms SOA (vision leads). We then fit Gaussian functions (as described previously) to each modality order condition (see Figure 5a) and calculated the mean PSS by identifying the SOA at which each function reaches its peak. Rapid temporal recalibration was quantified as the difference in mean PSS between categories (i.e. PSS audition leads-PSS vision leads; see also (Van der Burg et al., 2013, 2018). Note that one participant was excluded due to fitting issues.
Accordingly, Figure 5a reflects the mean proportion of synchrony responses as a function of SOA for each previous modality order and group (collapsed across congruency conditions). Figure 5b reflects the mean PSS derived from these synchrony distributions according to group and previous modality order. Figure 5c shows the Δ PSS (i.e., rapid temporal recalibration) as a function of age (in bins of 10 years) for each group.