Leanne Williams, PhD
Dr. Williams's research program is motivated by the need for a new model of mental disorder, one that integrates two complex systems: human brain function and human behavior. She uses multiple brain imaging techniques to develop brain-based models for classifying disorders that cut across multiple diagnostic categories. Her research program combines basic and clinically applicable neuroscience. Basic neuroscience investigations using MRI, EEG, imaging genetics, and behavioral measures are aimed at understanding neurodevelopment context of mental disorder and its treatment across the lifespan. In parallel, she pursues new designs for real world "practical" trials that are coupled with measures of brain circuits and genetics to identify biomarkers for prediction which treatments are most effective for each person. These approaches rely on harnessing modern computational methods to manage big datasets and address data-driven questions that cut across diagnostic categories. The program is interdisciplinary and seeks to advance personalized neuroscience for mental disorder. Dr. Williams's lab has a particular focus on large-scale neural circuits and emotional function. Given the immediate public need, the most recent studies focus on depression and anxiety.
- Professor of Psychiatry & Behavioral Sciences, Stanford University
- Director of the PanLab for Personalized and Translational Neuroscience, Stanford and Palo Alto MIRECC VISN21
- Director of PTSD Education, VA Palo Alto MIRECC VISN21
- Honorary Professor, Sydney Medical School
- PhD, 1996, Oxford University
- Korgaonkar, M. S., Grieve, S. M., Etkin, A., Koslow, S. H., Williams, L. M. (2013). Using Standardized fMRI protocols to identify patterns of prefrontal circuit dysregulation that are common and specific to cognitive and emotional tasks in major depressive disorder: First wave results from the iSPOT-D study. Neuropsychopharmacology, 38(5), 863-871.
- Williams, L. M., Rush, A. J., Koslow, S. H., Wisniewski, S. R., Cooper, N. J., Nemeroff, C. B., Schatzberg, A. F., Gordon, E. (2011). International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: Rationale and protocol. Trials, 12.
- Gatt, J. M., Nemeroff, C. B., Dobson-Stone, C., Paul, R. H., Bryant, R. A., Schofield, P. R., Gordon, E., Kemp, A. H., Williams, L. M. (2009). Interactions between BDNF Val66Met polymorphism and early life stress predict brain and arousal pathways to syndromal depression and anxiety. Molecular Psychiatry, 14(7), 681-695.
- Whitford, T. J., Grieve, S. M., Farrow, T. F., Gomes, L., Brennan, J., Harris, A. W., Gordon, E., Williams, L. M. (2007). Volumetric white matter abnormalities in first-episode schizophrenia: A longitudinal, tensor-based morphometry study. American Journal of Psychiatry, 164(7), 1082-1089.
- Bryant, R. A., Felmingham, K. L., Kemp, A. H., Barton, M., Peduto, A. S., Rennie, C., Gordon, E., Williams, L. M. (2005). Neural networks of information processing in posttraumatic stress disorder: A functional magnetic resonance imaging study. Biological Psychiatry, 58(2), 111-118.
- Choosing Collaborators
- Collaborating Across Time Zones
- Communicating for Effective Collaboration
- Finding a Mentor
- Rewarding Researchers for Short-term Successes
- Sharing Information With New Team Members
- Written Publication Plan Keeps Team on the Same Page