Psychosis and visual hallucinations (VH) in Parkinson’s disease (PD) substantially impact patient outcomes, yet the underlying neural mechanisms remain unclear, limiting effective treatments. Here we used dynamic causal modeling to leverage the fast temporal dynamics captured with electroencephalography data during a visual mismatch negativity task in people with PD with (N = 20) and without (N...
Abstract Psychosis and visual hallucinations are a prevalent non-motor symptom of Parkinson's disease, negatively affecting patients’ quality of life and constituting a greater risk for dementia. Understanding neural mechanisms associated to these symptoms is instrumental for treatment development. The mismatch negativity is an event-related potential evoked by a violation in a sequence of...
Computational psychiatry has recently emerged as a leading theoretical approach for understanding psychiatric disorders, employing Bayesian modelling to decipher underlying dysfunctions. Whilst this approach has clear potential, we argue that it overlooks the uniquely human aspects of human psychopathology. Its emphasis on abstract, domain-general inferential processes often obscures the...
Background: Metacognition refers to appraising one's thoughts and behaviours. Deficits in metacognition are associated with psychosis-spectrum experiences, such as hallucinations and delusions, in both clinical and non-clinical populations. Assessments of metacognitive function and abilities in clinical populations often vary in administration duration, and subjectivity of scores. This study...