Understanding and treating persecutory delusions: an interventionist-causal model approach
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AI plain-English summaryParanoia—the fear that others intend to harm you—affects 10 to 20 percent of the general population at a suspicious level, and at its most severe becomes persecutory delusions that devastate lives. This matters because current treatments for paranoia are often inadequate. The standard approach has been to treat symptoms broadly, without targeting the specific causes. This research aims to change that by testing whether deliberately increasing or decreasing a suspected causal factor—such as anxiety or biased thinking—actually shifts paranoia levels. The team will run four studies, using virtual reality social environments to create controlled, realistic situations where paranoia can be measured and manipulated. A final study will combine the findings into a new treatment package for persecutory delusions. If successful, this work could lead to more precise, evidence-based therapies for paranoia—similar to how manipulationist studies have improved treatments for anxiety disorders. It could also clarify how cannabis, the most commonly used illicit drug, influences paranoid thoughts. The research is fundamentally applied, aiming directly at better clinical care rather than exploring basic mechanisms alone.
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