New Advances in Addiction Behavior

Dear Colleagues,

Addictions present a complex challenge, given that they involve crucial behavioral and psychological aspects. In the effort to address this, a large body of literature has highlighted the importance of unearthing the motivations underlying the development and maintenance of addictions, emphasizing the need for a dual approach that is both cognitive and emotional. In this context, interdisciplinary research emerges as a key element useful for understanding the topic of “addiction”, beginning with neuro-genetic, neuro-biological, neuro-psychological, and social roots.

The goal of this Topic is to highlight individualized prevention and intervention techniques in order to raise awareness, as well as prevent and challenge the development and maintenance of addiction with integrated and innovative approaches. As such, we welcome contributions related to the application of advanced technologies, such as artificial intelligence (AI) and machine learning (ML), that can advance the understanding of addiction-related behavioral patterns. Tools such as these will not only help identify early signs of addiction but also provide new approaches for personalized therapeutic intervention. 

Dr. Emanuela Mari
Dr. Laura Piccardi
Dr. Alessandro Quaglieri
Topic Editors