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. 2021 Feb 3;41(5):1068–1079. doi: 10.1523/JNEUROSCI.2091-20.2020

Figure 2.

Figure 2.

Predicting the trial-wise aftereffects based on neurophysiological representations. A, In two separate analyses, we quantified the predictive power of EEG-derived representations of either the multisensory discrepancy or the response in the AV trial to predict the trial-wise vae bias in the A trial, either (1) within a paradigm (thick arrows) or (2) across paradigms (dotted arrows). B, Classifier performance (group-level mean, n = 19) for both paradigms (ST and LT) as cross-validated area under the ROC curve (AUC). C, Neurobehavioral models predicting the trial-wise aftereffect within paradigms based on the EEG-derived cerebral encoding of sensory (ΔVA) or motor (RAV) variables in the AV trial. Graphs show group-level t-maps of the underlying regression betas. D, Neurobehavioral models predicting the aftereffect across paradigms. Horizontal solid lines denote significance based on cluster-based permutation-based statistics (p < 0.01; see Materials and Methods). E, Time course of regression betas (for LDA_ΔVA) for the same data as in C. Left, Within-paradigm analyses. Right, Cross-paradigm analyses. Solid lines indicate the group-level mean, shaded areas are SEM across participants.