Re-evaluating frontopolar and temporoparietal contributions to detection and discrimination confidence

Abstract

Previously, we identified a subset of regions where the relation between decision confidence and univariate fMRI activity was quadratic, with stronger activation for both high and low compared to intermediate levels of confidence. We further showed that, in a subset of these regions, this quadratic modulation appeared only for confidence in detection decisions about the presence or absence of a stimulus, and not for confidence in discrimination decisions about stimulus identity (Mazor, Friston & Fleming, 2021). Here, in a pre-registered follow-up experiment, we sought to replicate our original findings and identify the origins of putative detection-specific confidence signals by introducing a novel asymmetric-discrimination condition: a discrimination task with the signal-detection properties of a detection task. This task required discriminating two alternatives (two different grating tilts) but was engineered such that the distribution of perceptual evidence was asymmetric, just as in yes/no detection. We successfully replicated the quadratic modulation of subjective confidence in prefrontal, parietal and temporal cortices. However, in contrast to our original report, this quadratic effect was similar in detection and discrimination responses, but stronger in the novel asymmetric-discrimination condition. We interpret our findings as weighing against the detection-specificity of confidence signatures and speculate about possible alternative origins of a quadratic modulation of decision confidence.

Re-evaluating frontopolar and temporoparietal contributions to detection and discrimination confidence

“…10: 221091 (7) Pre-supplementary motor area ( pre-SMA). Defined using the pre-SMA cluster from the contrast confidence 2 Detection À confidence 2 Discrimnation from Mazor et al [6] ( peak voxel [0, 35,47], see mask attached to the protocol folder at 'ROIs/preSMA.nii').…”

“…All raw imaging data is freely available on OpenNeuro: https://openneuro.org/datasets/ds004081/ versions/1.0.0. Full analysis scripts and summary statistics from regions of interest are available on GitHub: https:// github.com/matanmazor/unequalVarianceDiscrimination and have been archived within the Zenodo repository: https://doi.org/10.5281/zenodo.7351965 [35].…”