Practice trials were completed with feedback until the participant successfully answered at least one question for each of the four conditions (Self-Consistent, Self-Inconsistent, Other-Consistent, Other-Inconsistent).
The current study combined a ToM task that required rapid processing of information about perspectives together with EEG recording. It is commonly supposed that ToM judgments require multiple functional and neural processes, perhaps including some that are truly specific to ToM, and most likely also including generic processes for executive control ( Van Overwalle, 2009 ). However, most studies of ToM have been unable to distinguish between these component processes and study their relative time course. The ToM task in the current study is unusually well suited to this purpose because existing behavioral data indicate a distinction between an initial process of perspective calculation followed by a process of selecting the appropriate (Self or Other) perspective to respond on a given trial. Perspective calculation is not disrupted when participants perform a dual task that taxes inhibitory control (suggesting that it does not require general cognitive processes for inhibition), whereas the same dual task does disrupt perspective selection ( Qureshi et al., 2010 ). By combining this task with EEG recording that allowed neural responses to the task to be monitored with high temporal precision, we found several distinct neural processes, indexed as ERP components. We discuss these components in turn.
Although the TP450 effect was limited to a particular region of the scalp, it occurred simultaneously with activity of a larger posterior component. The larger component during this time window likely reflects occipital, temporal, and parietal activity that is shared across our conditions. However, the existence of this broad component simultaneously with the TP450 component of interest complicates unconstrained source analysis procedures, such as s-LORETA and unconstrained current source dipole analyses, particularly when deep sources are implicated. This complication was, in fact, observed in S-LORETA analyses. These analyses, which followed the constrained dipole analyses described here, confirmed that the source solutions using this unconstrained method were dominated by deep sources in the occipital, temporal, and parietal lobes in all conditions. Therefore, given our strong hypothesis that the differences observed in the TP450 component reflect differences in the posterior ToM region, the temporoparietal junction, we conducted confirmatory equivalent dipole analyses with dipoles located in the gray matter of the temporoparietal junction during the time of the TP450 component (fixed location, rotating amplitude vector) ( Fig. 4 ). A model with a unilateral dipole in the right TPJ (rTPJ) (Talairach coordinates: 60, −40, 20) accounted for 63, 60, or 70% of variance for the Self-Consistent, Other-Consistent, and Other-Inconsistent conditions, respectively; adding a second dipole in the left TPJ (lTPJ) [Talairach coordinates: +/−60, −40, 20 (e.g., bilateral TPJ dipoles)] added a significant amount of explained variance (27, 27, 21%, respectively). For the Self-Inconsistent scalp ERP, the unilateral rTPJ model accounted for 76% of the variance, and a bilateral model added only 13% explained variance. For all of these models, additional dipoles located in the medial prefrontal lobes did not add significant additional explained variance (<4%). This confirmatory source analysis for the TP450 component is consistent with a model of bilateral temporoparietal junction activity for Self-Consistent, Other-Consistent, and Other-Inconsistent; predominantly unilateral right temporoparietal junction involvement for Self-Inconsistent; and primarily posterior and lateral sources of brain activity underlying the TP450 results.
Improvement in perception takes place within the training session and from one session to the next. The present study aims at determining the time course of perceptual learning as revealed by changes in auditory event-related potentials (ERPs) reflecting preattentive processes.
doi: 10.1101/lm.46502 Learn. Mem. 2002. 9: 138-150 Cold Spring Harbor Laboratory Press