Temporal metacognition as the decoding of self-generated brain dynamics

Abstract

Metacognition, the ability to know about ones thought process, is self-referential. Here, we combined psychophysics and time-resolved neuroimaging to explore metacognitive inference on the accuracy of a self-generated behavior. Human participants generated a time interval and evaluated the signed magnitude of their temporal production. We show that both self-generation and self-evaluation relied on the power of beta oscillations ({beta}; 15-40 Hz) with increases in early {beta} power predictive of increases in duration. We characterized the dynamics of {beta} power in a low dimensional space ({beta} state-space trajectories) as a function of timing and found that the more distinct trajectories, the more accurate metacognitive inferences were. These results suggest that {beta} states instantiates an internal variable determining the fate of the timing networks trajectory, possibly as release from inhibition. Altogether, our study describes oscillatory mechanisms for timing, suggesting that temporal metacognition relies on inferential processes of self-generated dynamics.