Xiaosi Gu is an Associate Professor and head of the Computational Psychiatry Unit at the Center for BrainHealth. Her research has been focused mainly on computational psychiatry, or using quantitative methods to characterize mental disorders. She wants to more efficiently target different parts of the brain and different neurotransmitter systems. Currently her research interests are addiction and depression.
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Addiction is characterized by a profound intersubject (phenotypic) variability in the expression of addictive symptomatology and propensity to relapse following treatment. However, laboratory investigations have primarily ...
No abstract available.