Publications by authors named "F Vinckier"
Article Synopsis
- The brain manages mental effort during difficult decisions by balancing cognitive resources used against the expected costs and benefits of those decisions.
- A proposed computational model called online metacognitive control of decisions (oMCD) represents this resource allocation problem as a Markov Decision Process, allowing for optimal decision-making strategies.
- oMCD effectively explains key aspects of decision-making like choice, confidence, and response time, while aligning with existing research on value-based decision-making and related neurocognitive theories.
We used a probabilistic reversal learning task to examine prediction error-driven belief updating in three clinical groups with psychosis or psychosis-like symptoms. Study 1 compared people with at-risk mental state and first episode psychosis (FEP) to matched controls. Study 2 compared people diagnosed with treatment-resistant schizophrenia (TRS) to matched controls.
View Article and Find Full Text PDFContext: The use of vagus nerve stimulation (VNS) to reduce or stop electroconvulsive therapy (ECT) in treatment-resistant depression seems promising. The aim of this study was to investigate the efficacy of VNS on the reduction of ECT sessions and mood stabilization.
Methods: We conducted a monocentric retrospective case series of patients who suffered from treatment-resistant depression, treated with ECT and referred to our center for VNS.
Mood effects on economic choice seem blatantly irrational, but might rise from mechanisms adapted to natural environments. We have proposed a theory in which mood helps adapting the behaviour to statistical dependencies in the environment, by biasing the expected value of foraging actions (which involve taking risk, spending time and making effort to get more reward). Here, we tested the existence of this mechanism, using an established mood induction paradigm combined with independent economic choices that opposed small but uncostly rewards to larger but costly rewards (involving either risk, delay or effort).
View Article and Find Full Text PDFArticle Synopsis
- Esketamine has been proven effective for treatment-resistant depression (TRD), but its high cost and limited knowledge on treatment duration highlight the need for better outcome predictions.* -
- A study with TRD patients receiving esketamine identified two response trajectories—responders and non-responders—while showing that initial depression scores can predict future treatment success with 80% accuracy.* -
- Although the findings are promising, the study's observational nature and lack of a placebo group mean more controlled experiments are needed to validate these predictions and improve treatment decisions.*