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[Neural networks in addiction].

A E Goudriaan, C L Crunelle, C Wolf

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    Summary
    This summary is machine-generated.

    Understanding neural networks in substance use disorders (SUD) reveals how brain circuitry changes impact reward sensitivity and relapse. This knowledge aids in developing personalized SUD treatments and prevention strategies.

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    Area of Science:

    • Neuroscience
    • Psychiatry
    • Addiction Research

    Background:

    • Substance use disorders (SUD) are prevalent psychiatric conditions with significant economic impact.
    • Imbalances in frontostriatal and stress brain circuitry are implicated in SUD development, maintenance, and relapse vulnerability.

    Conclusions:

    • Enhanced understanding of SUD neural networks can drive personalized treatment and prevention.
    • Neural network insights offer a transdiagnostic perspective on psychiatric disorders and comorbidity.