Modulation of prefrontal couplings by prior belief-related responses in ventromedial prefrontal cortex

Front Neurosci. 2023 Nov 15:17:1278096. doi: 10.3389/fnins.2023.1278096. eCollection 2023.

Abstract

Humans and other animals can maintain constant payoffs in an uncertain environment by steadily re-evaluating and flexibly adjusting current strategy, which largely depends on the interactions between the prefrontal cortex (PFC) and mediodorsal thalamus (MD). While the ventromedial PFC (vmPFC) represents the level of uncertainty (i.e., prior belief about external states), it remains unclear how the brain recruits the PFC-MD network to re-evaluate decision strategy based on the uncertainty. Here, we leverage non-linear dynamic causal modeling on fMRI data to test how prior belief-dependent activity in vmPFC gates the information flow in the PFC-MD network when individuals switch their decision strategy. We show that the prior belief-related responses in vmPFC had a modulatory influence on the connections from dorsolateral PFC (dlPFC) to both, lateral orbitofrontal (lOFC) and MD. Bayesian parameter averaging revealed that only the connection from the dlPFC to lOFC surpassed the significant threshold, which indicates that the weaker the prior belief, the less was the inhibitory influence of the vmPFC on the strength of effective connections from dlPFC to lOFC. These findings suggest that the vmPFC acts as a gatekeeper for the recruitment of processing resources to re-evaluate the decision strategy in situations of high uncertainty.

Keywords: cognitive flexibility; mediodorsal thalamus (MD); non-linear dynamic causal modeling; prefrontal cortex (PFC); prior belief; uncertainty.

Grants and funding

This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation): Project number 122679504 – SFB 874 ‘Integration and Representation of Sensory Processes’ (to BW and BP), the DFG grant with the project number PL602/6-1 ‘Prefrontal-thalamic control of cognitive flexibility – from mice to humans’ (to BP) and National Natural Science Foundation of China: Project number 32200867 (to BW). We acknowledge support by the Open Access Publication Funds of the Ruhr-Universität Bochum.