Psychotic illnesses are characterised by hallucinations, delusions, and disturbed thoughts; symptoms associated with high personal and societal costs. Despite the efficacy of antipsychotic medication, approximately 84% of patients experience at least one relapse within 36 months of their first episode. Thus, identifying patients who will relapse and who will not, and then providing specific treatment to patients who are more likely to relapse is clinically meaningful. Belief-updating and speech are promising markers to predict first episode psychosis (FEP) patients future relapse outcome, as there has been evidence linking these two markers with the onset and progression of psychotic symptoms. The present study will collect cognitive measures relating to belief-updating and speech in patients with FEP at baseline, and build models to predict relapse based on these measures. Belief updating tasks include simple video games (escaping from a planet in the Space Task and a reversal learning task). To collect speech, participants will be asked to describe ambiguous pictures. The study uses a naturalistic follow-up design; data will be collected from 140 FEP patients recruited from local clinical teams and 100 healthy controls recruited from advertisements. Cognitive tasks will be conducted via an online platform Gorilla using participants' own device (e.g. computer, laptop, smartphone and tablet). Clinical interviews can take place either online or face-to-face. Participants will attend three assessments in total, at baseline and at 6-month and 12-month follow-up. Each visit will comprise two components 1) cognitive tasks (45-60 minutes) and basic demographics, 2) clinical interviews.
Study Type
OBSERVATIONAL
Enrollment
240
Relapse
Change in score on the Positive and Negative Syndrome Scale
Time frame: One year
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