#yalepsych scientists including first author @lichsar, left, and senior author @yip_lab, right, collaborated on a study in @BiologicalPsyc1 that gives insight into neural mechanisms of risk for problem-level cannabis use among adolescents/emerging adults. https://t.co/u8FYKLdFi3
Thrilled to share our new paper, now in press @BiologicalPsyc1, where we apply a connectome-based approach to identify a problem cannabis risk network, which was externally validated in 2 independent samples and specific for predicting cannabis vs alcohol use in all 3 datasets.
This is the first study to apply a data-driven, machine-learning approach to identify a generalizable and specific neuromarker of risk for problem-level cannabis use, paving the way for future efforts to develop more effective interventions for problem-level cannabis use.
In an unprecedented move, research-grant reviews have been suspended indefinitely at the world’s largest public funder of biomedical research
https://t.co/rEmlD6lFgE
Finishing my slides for #Flux2024 and wanted to drop this here as well. I am recruiting graduate students and postdocs. Find me or reach out if you are interested!
The #CPDD2024 symposium on computational neuroscience and cannabis showcased machine learning and neuroeconomic modeling. So much we can uncover with these novel approaches. Thanks @yip_lab and Iris Balodis for organizing!