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Open access Aug 2026

Playing with the dials of belief: how controllable AI behaviours could modulate human belief and cognition across scales

Contemporary generative AI systems, increasingly adapted to human social cognition, are becoming active participants in how people form and revise beliefs. Clinicians have begun to describe AI-associated delusion-centred presentations whose onset or content appears closely associated with users’ extended dialogue with large language models. Many more users report subclinical shifts in conviction and “revelatory” experiences that alter behaviour and world-view without meeting criteria for psychosis. We propose that these phenomena can be understood within a belief-updating framework in which AI agents’ outputs function as testimony about the world, while interaction configurations, such as memory and interpersonal stance (many of which reflect design choices or deployment defaults), can alter the apparent reliability of that testimony and the precision users assign to it. On this view, AI-associated delusions sit at the extreme of a broader spectrum of epistemic effects, extending from gradual epistemic drift to highly crystallised conviction, situated within a wider ecology of belief shaped by personalised human-AI dyads. We develop a virtual psychopharmacology analogy in which different AI system configurations have effects on belief dynamics that resemble neuromodulatory changes in the precision assigned to social evidence. We also consider how dopaminergic and related states may alter susceptibility to belief-shifting dialogue. We consider how deliberately configured agents might be used to support wellbeing in defined clinical contexts and analyse how the same configurations could be deployed to shape belief and attention at population scale, including in products designed to induce spiritual or epiphanic states, as mechanisms of radicalisation in extremist or cultic contexts, and in persona clones used for political purposes. We conclude that interaction configurations should be treated as modifiable influences on belief and attention, and that governance must address both the concentration of control over these dials, as well as the structural biases that determine whose testimonial perspectives are amplified and whose are smoothed over or ignored.

H. Morrin, L. Nicholls, Q. Deeley et al. · 7 citations
Open access Jul 2026

Mega-analysis of Structural Brain Imaging in Functional Neurological Disorder.

BACKGROUND Despite recent advances, the pathophysiology of functional neurological disorder (FND) remains incompletely understood. Structural neuroimaging studies have identified grey matter alterations in somatomotor, salience, limbic, and default mode network associated areas, although findings are inconsistent. Mega-analyses, which combine individual-level data across studies, can help clarify structural alterations. METHODS We conducted a mega-analysis of brain structural morphometrics derived from T1-weighed MRI scans from fifteen international research groups. After across-site harmonisation with ComBat, we compared 493 functional motor and seizure patients with 564 healthy controls. Euler numbers were included to account for head motion. RESULTS The FND cohort showed reduced cortical thickness in the bilateral superior frontal gyri (left d = 0.22, right d = 0.21) and sulci (d = 0.22 & 0.23), bilateral superior precentral sulcus (d = 0.22 & 0.26), right precentral gyrus (d = 0.25), right paracentral gyrus and sulcus (d = 0.23), right cuneus (d = 0.23), and right inferior opercular gyrus (d = 0.21); reduced left postcentral gyrus surface area (d = 0.25) and right hippocampal volume (d = 0.22). No regions were different in relative surface area. There were no associations between morphometrics and illness duration, or lifetime history of depression or anxiety. Differences between motor and seizure variants were not identified. CONCLUSIONS This large mega-analysis suggests subtle morphometric differences, particularly in prefrontal and motor regions. This may represent predisposing vulnerabilities, compensatory mechanisms, or FND-specific alterations. Improved neuropsychiatric characterisation of FND research cohorts will help further contextualise the biological relevance of structural alterations.

Matt Butler, M. Vignando, J. Allendorfer et al. · 0 citations

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