Our brains constantly make predictions about the world around us and then compare them to what actually happens. When these predictions don’t match reality, the brain adjusts — this is called a prediction error. But new research suggests that in some mental illnesses, this process doesn’t work properly.
People with conditions like psychosis, autism, or obsessive-compulsive disorder may have difficulty filtering out irrelevant sensory information. As a result, everything feels uncertain, overwhelming, and unpredictable.
This theory — known as the “Bayesian brain” model — suggests that mental illness could stem from the brain’s inability to update its beliefs about the world accurately. Understanding this may open the door to new therapies focused on helping the brain recalibrate its predictions, using both psychological and behavioral techniques such as mindfulness and cognitive-behavioral therapy.
Key takeaways:
- Mental illness may involve disrupted prediction-error mechanisms.
- Difficulty filtering sensory information contributes to emotional instability.
- Treatments that improve self-awareness and cognitive flexibility could help restore balance.
