Using belief-updating and speech to predict psychosis relapse

  • Applicant: Xinyi Liang
  • Project ID: 25-050

Psychosis relapse is common and difficult to predict in people with first episode of psychosis (FEP), identifying potential markers of relapse can help improve patients’ symptom outcome, functioning and quality of life–previous studies have shown that belief-updating and speech markers can be promising markers in predicting relapse, thus the present project aims to validate the efficacy of these two markers in predicting psychosis relapse.
The present project is an online longitudinal study which involves three assessments: baseline, 6-month follow-up and 12-month follow-up. At each visit, participants complete an online task (takes 45 minutes to one hour) and a clinical interview (clinical interview can be done either online or in-person, it takes 2-3 hours with breaks in between).

The Clinical Record Interactive Search (CRIS) system is a computer system that allows researchers at the NIHR Maudsley Biomedical Research Centre (BRC) to carry out research using information from South London and Maudsley NHS Foundation Trust clinical records.

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