Using cutting-edge neurophysiology and machine learning, all underpinned by inclusive, community-focused research, our unique approach leverages human and animal behavioral models to uncover new insights for improving collective mental health. We do this while staying attuned to the diverse cultural nuances of our communities.
By integrating an intersectional framework, we view mental health from a rich social perspective, enabling the creation of innovative, community-based treatments. Our research, rooted in social neuroscience and music psychology, sharpens our understanding of social cognition and its role in mental health.
With a focus on both pharmacological (psychedelics) and non-pharmacological (music, mindfulness) interventions, we lay foundations for advanced integrative therapies. Our ultimate vision is to build a transformative approach to mental health, ensuring accessibility and holistic community treatments, especially in underserved communities.
Using advanced machine learning techniques, one of our primary goals is to understand how social behaviors are represented in the brain across a spectrum of model systems. Our innovative approach involves an unbiased method to dissect diverse neuronal responses and categorize them into functional ensembles called Functional Encoding Units (FEUs). This process has already unveiled novel population dynamics during social behaviors. Overall, we aim to identify universal patterns and neural processes that underpin socioemotional functions across species. By interpreting these findings, we provide deeper insights into the intricacies of social interactions, revealing both shared and unique neural patterns that steer social cognition and interaction.
Another line of research in our lab explores the brain mechanisms activated or modulated by compounds that promote pro-social behavior. Focusing on ensemble dynamics from cortico-amygdalar circuits during MDMA and psilocybin-associated social choice, we seek to uncover how specific brain regions contribute to the enhanced social interactions observed with such substances.
This project delves into the powerful moments of connection experienced during face-to-face interactions, especially when augmented by harmonious music. Utilizing functional Near-Infrared Spectroscopy (fNIRS) and Electroencephalography (EEG), we investigate neural dynamics between participants and its correlation with subjective feelings of connection. Understanding these mechanisms can guide interventions that harness music's ability to foster human connection.
This project focuses on tapping into the innate therapeutic powers of combining music and mindfulness, especially within a community-based setting. We utilize community drum circles, music mindfulness groups, music sharing circles, and music-Cognitive Behavioral Therapy as forms of therapeutic expression and as mediums to fortify social connectedness, alleviate trauma and stress, and mitigate depression and anxiety. As we continue our journey, our commitment remains firm: to refine, adapt, and extend our therapeutic tools, ensuring they resonate deeply with diverse communities.