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This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it.

EV0052

Gambling disorder within an addiction framework: neurobiological overlaps, distinct cognitive mechanisms, and multimodal markers for precision psychiatry

GAMBLING DISORDER IN THE ADDICTION FRAMEWORK: NEUROBIOLOGICAL OVERLAPS, DISTINCT COGNITIVE MECHANISMS, AND MULTIMODAL MARKERS TOWARD PRECISION PSYCHIATRY

Although gambling disorder fits within an addiction framework, it differs from substance use disorders in neurochemistry and cue content, and the next step is prospective multimodal prediction of the pre-relapse state.

The study aimed to synthesize evidence on the neurobiology, gambling-specific mechanisms, and multimodal markers of gambling disorder (GD) and to propose a model for earlier detection of relapse risk. Using the PRISMA-ScR methodology, PubMed, Embase, PsycINFO, and Scopus were searched for human studies published between 2000 and 2026 on the neurobiology, cognition, relapse, treatment, or digital markers of GD; 867 primary studies were screened, 95 were included, and the mechanistic synthesis drew on 38 of these sources. In the evidence map, neurobiology was represented by 22 studies, cognition by 18, epidemiology and phenotype by 16, comparisons between GD and substance use disorders by 16, digital and precision psychiatry by 13, and treatment by 10; mechanistic evidence (40.0%) outweighed digital and precision psychiatry research (13.7%). Epidemiological data indicate that 46.2% of adults worldwide gambled in the past 12 months, 22% of adults in the United States placed sports bets in the past year, the rate of problem gambling among sports bettors was 8.9%, and the rate of problem gambling associated with online casino games and slots was 15.8%. Compared with healthy controls, the ventral striatum shows a blunted response to general rewards (although the direction of this effect remains debated), but heightened responses to personalized cues, uncertainty, near misses, and extreme bets; the insula and orbitofrontal cortex show increased activity in response to personalized cues and near misses, whereas frontal control activity is reduced in response to general rewards and personalized cues. Five of the fifteen cells lack sufficient GD-specific data; these are evidence gaps, not negative findings. Among the 13 studies providing digital and precision psychiatry evidence, EEG and machine learning are represented by 4 studies, digital interventions and just-in-time adaptive interventions (JITAIs) by 4, ecological momentary assessment (EMA) by 1, heart rate variability by 1, and other biomarkers by 3. The authors propose a five-stage translational model comprising vulnerability, momentary state, context and access, platform behavior, and dynamic risk prediction; the poster states that this is a research hypothesis and that no such clinically validated system currently exists.

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