Active Psychology & Behaviour NIHR-supported project Brain & Nervous System

Goal Planning in Psychosis

In plain English

AI plain-English summary

People with schizophrenia often struggle to make even simple plans—deciding what to cook for dinner or how to get to an appointment can become overwhelming. This research team will use brain scans and AI language models to pinpoint exactly what goes wrong in the prefrontal cortex when people with psychosis try to plan ahead. Current treatments for schizophrenia largely target hallucinations and delusions, but the cognitive problems—especially in planning and abstract thinking—are what most prevent people from living independently or holding down a job. The team does not yet know whether these planning failures stem from a single brain-circuit glitch or from a breakdown in how different regions communicate. By having volunteers perform planning tasks inside an fMRI scanner and analysing their spoken descriptions with large language models, the researchers aim to map the neural signature of impaired goal-directed thinking. This is fundamental science with no immediate clinical tool to offer. But understanding the precise neural basis of planning deficits could eventually guide the development of cognitive training therapies or brain-stimulation protocols that target the right circuits. Similar mapping of brain function in other disorders has already led to targeted treatments for depression and obsessive-compulsive disorder.

View original technical description
The team will investigate prefrontal cortex function in planning and abstract cognition, with a focus on schizophrenia. At the Department of Psychiatry, Matthew will lead studies using task-based fMRI and computational language analysis using AI large language models.

Researchers

Matthew Nour (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Goal-planning in Psychosis: a study across humans, mice and neural networks
Language and Functional Capacity in patients with Depression and Psychosis
Identifying Neural Signatures of Auditory-Predictive Processing in Schizophrenia: A Multi-Modal Imaging Approach
Interviews and focus group on cognitive function in psychosis
Local functional architecture and individual differences in cognitive and clinical states.

Original classification

Data Science

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