Abstract
Metacognition as the capacity of monitoring one’s own cognition operates across domains. Here, we addressed whether metacognition in different cognitive domains rely on common or distinct neural substrates with combined diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) techniques. After acquiring DTI and resting-state fMRI data, we asked participants to perform a temporal-order memory task and a perceptual discrimination task, followed by trial-specific confidence judgments. DTI analysis revealed that the structural integrity (indexed by fractional anisotropy) in the anterior portion of right superior longitudinal fasciculus (SLF) was associated with both perceptual and mnemonic metacognitive abilities. Using perturbed mnemonic metacognitive scores produced by inhibiting the precuneus using TMS, the mnemonic metacognition scores did not correlate with individuals’ SLF structural integrity anymore, revealing the relevance of this tract in memory metacognition. In order to further verify the involvement of several cortical regions connected by SLF, we took the TMS-targeted precuneus region as a seed in a functional connectivity analysis and found the functional connectivity between precuneus and two SLF-connected regions (inferior parietal cortex and precentral gyrus) differentially mediated mnemonic but not perceptual metacognition performance. These results illustrate the importance of SLF and a putative white-matter grey-matter circuitry that supports human metacognition.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
Funding: This research received support from Science and Technology Commission of Shanghai Municipality (Grant No. 201409002800), the National Natural Science Foundation of China (Grant No. 32071060), and Joint Research Institute for Science and Society Incubating Project (S.C.K.); the National Natural Science Foundation of China (Grant No. 81671201; 81871083) and Shanghai Jiao Tong University Scientific and Technological Innovation Funds (2019QYA12) (Y.L.).
Conflict of Interest: The authors declare no competing financial interests.