The NeuroChoice Initiative aims to advance addiction research by promoting exchange across three levels of analysis (with support from the Wu Tsai Neurosciences Institute):
1. Circuits
2. People
3. Policy
By linking these levels of analysis, we ultimately seek to transform scientific understanding of and to improve choices related to addiction. We also hope to understand how policymakers can benefit from interdisciplinary knowledge, and conversely, to learn from them about promising directions for future research.
Project Group 1: Characterize and control neural circuits that underlie addictive choice in animal models
Project Groups 2: Identify neural predictors of addictive choice in humans
Project Group 3: Modify neural markers to forestall relapse to addiction in humans
Project Group 4: Translate addiction science findings into actionable and effective policy
MacNiven, K.H., Mortazavi, L., Knutson, B. (2023). Blunted neurobehavioral loss anticipation predicts relapse to stimulant use. Biological Psychiatry, In Press. Link
Humphreys, K., Shover, C. L., Andrews, C. M., Bohnert, A. S., Brandeau, M. L., Caulkins, J. P., … & Timko, C. (2022). Responding to the opioid crisis in North America and beyond: recommendations of the Stanford–Lancet Commission. The Lancet, 399(10324), 555-604. Link
Pomrenze, M. B., Pinto, D. F. C., Neumann, P. A., Llorach, P., Tucciarone, J. M., Morishita, W., … & Malenka, R. C. (2022). Modulation of 5-HT release by dynorphin mediates social deficits during opioid withdrawal. Neuron, 110, 4125-4143. Link