The Neurobiological Mechanisms Underlying Individual Differences in Addiction
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Mechanisms of Diseases".
Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 9492
Special Issue Editor
Special Issue Information
Dear colleagues,
Although substance and behavioral addictions are dynamic, chronic diseases, resulting in severe health, economic, and social problems, only a subset of these patients are particularly responsive to the behavioral and pharmacological therapeutics currently available. This is mainly due to the large heterogeneity in the individual profiles of addictive disorders and the huge gap in our knowledge of the neurobiological mechanisms for the variability. Even in the face of these challenges, a recent multi-layered combination of classical assays with advanced techniques including brain imaging, omics, electrophysiology, and deep learning for computational biology is dramatically broadening the possibility of asking and answering sophisticated questions about these neurobiological mechanisms. In this Special Issue of the Journal of Personalized Medicine, we aim to assemble biological insights from a broad range of disciplines that provide a better understanding of the neurobiological mechanisms underlying the individual variability that leads to various outcomes in addictive disorders, potentially helping accelerate the advancements in precision medicine and/or precision health for addiction. We welcome the submission of experimental and theoretical original research, reviews, and meta-analyses investigating the neurobiological mechanism of addictive disorders, ranging in scope from preclinical animal models to human studies via behavioral, electrophysiological, imaging, genetic, genomic, and computational approaches.
Dr. Seungwoo Kang
Guest Editor
Manuscript Submission Information
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Keywords
- addiction
- substance addiction
- behavioral addiction
- individual variability
- animal addiction models
- neurobiology
- computational biology
- precision medicine
- precision health