The Center for BrainHealth’s computational psychiatry lab, led by Dr. Xiaosi Gu, explores treatments for psychiatric disease through neuroscience.

“My ultimate dream is to use neurobiological information to inform individualized therapy. Compared to physical diseases, mental disorders have much more heterogeneity and complexity. If you have heart disease or are diagnosed with lung cancer, physicians will follow a treatment plan based on biology. For psychiatric disorders, we don’t have anything like that yet,” said Dr. Gu.

Bridging the knowledge gap

This effort has produced some encouraging early discoveries, but has also highlighted the need for computational models that can bridge the explanatory gap between pathophysiology and psychopathology. The expertise and quantitative tools required to address this gap exist only across disciplines, combining skills and knowledge from investigators and clinicians that are jointly interested in solving problems of mental health.

“That gap in knowledge is what I am hoping to fill through my research – to use much more formal objective assessments based on deep cognitive and neural phenotypes to help with accurate diagnosis,” said Dr. Gu.

View more information on the Center for BrainHealth’s computational psychiatry lab and its lead researcher, Dr. Xiaosi Gu.