Exploring the emergence of psychotic experiences using multimodal neuroimaging and mathematical modelling

总体目标是了解精神病出现的计算和神经认知过程，以及神经认知对精神病理风险的贡献。精神分裂症等精神疾病是最具破坏性的心理健康状况之一，是全球疾病负担的主要贡献者。精神病的症状包括与现实失去联系，表现为妄想（错误的信念）和幻觉（在没有刺激的情况下的感知体验）。鉴于这些症状背后的过程的复杂性，最近的进展往往是由使用数学模型，行为测试和神经成像的综合，跨学科方法驱动的（1）。

The overall aim is to understand the computational and neurocognitive processes underlying the emergence of psychosis, and neurocognitive contributions to psychopathological risk. Psychotic disorders such as schizophrenia are among the most devastating mental health conditions and leading contributors to the global burden of disease. Psychotic symptoms involve a loss of contact with reality in the form delusions (false beliefs) and hallucinations (perceptual experiences in the absence of stimuli). Given the complexity of the processes underlying these symptoms, recent advances have often been driven by integrated, cross-disciplinary approaches using mathematical models, behavioural testing, and neuroimaging (1).