Over-Reliance on Prior Expectations in Relapsing-Remitting Multiple Sclerosis: A Bayesian Analysis of Cognitive Dysfunction

This case-control study applied Bayesian computational modeling to examine how patients with relapsing-remitting MS process temporal information, revealing increased bias toward prior expectations over sensory information compared to healthy controls. The findings suggest that greater sensory measurement noise in MS patients drives this cognitive dysfunction, and unlike healthy aging, age-related changes in reliance on prior expectations are absent in MS patients.