Our Research

The vision for personalized neuroscience is to translate insights about the human brain into real world clinical care, to improve the quality of individual lives.

Advances in human neuroscience and genomics give us new markers for understanding why one treatment works and another does not, but we have not yet bridged the translational divide between the evidence and how to apply this information in the real world. 

In the PanLab, our current projects focus on depression and anxiety. We are also working on collaborative projects investigating psychosis and ADHD with anxiety as a cross disorder.

 Our research embraces the study of heterogeneity and individual differences in the experience of mental disorder, and the associated disruptions to social and emotional function. 

5 Themes of Research
1
Human neuroscience-informed models for mental disorders

The Human Connectome Project aims to provide an unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve never before realized conclusions about the living human brain.

The Research on Anxiety and Depression (RAD) study is aimed at developing a new understanding of anxiety and depression.
2
Transformative new technologies for imaging, wearables and personal ‘omics

StopWatch is a project aimed at developing a tool for young people with Attention Deficit/ Hyperactivity Disorder (ADHD) using the Apple Watch.

The purpose of the Research on Anxiety and Depression: Computer-Assisted Therapy (RAD-CAT) study is to examine how online self-guided programs can improve mood and anxiety symptoms. 

 The Stanford Catalyst for Collaborative Solutions is a new initiative with a bold mission – to create an open space to explore uncommon interdisciplinary solutions to our world’s most pressing problems.
3
Novel designs for biomarker-guided interventional trials

The Research on Anxiety and Depression: Anhedonia Treatment (RAD-AT) study is aimed at understanding treatment options for anhedonia, in particular Transcranial Magnetic Stimulation (TMS) and the medication pramipexole.

The International Study to Predict Optimized Treatment for Depression (iSPOT-D) study is aimed at identifying genetic, brain, and cognitive biomarkers that predict specific response to a range of antidepressants in patients diagnosed with major depressive disorder.
iSPOT-A Study

The International Study to Predict Optimized Treatment for Attention Deficit/Hyperactivity Disorder (iSPOT-A) study is aimed at identifying brain, genetic and cognitive markers that predict treatment response to short-acting methylphenidate in children and adolescents diagnosed with ADHD.
4
Computational approaches for integrating multi-source biomedical data

The RAINBOW-ENGAGE study uses neuroimaging, virtual reality, and passive smartphone sampling to understand the bases of depression and obesity.

The Neuroimaging and Machine Learning to Redefine Anxiety and Depression and Research on Anxiety and Depression: Stress studies
5
Accelerating translation in clinical settings, and in policy

The Precision Psychiatry Continuity Clinic Project is a unique first-in-the-nation project aimed at integrating a thorough understanding of symptoms, neuroscience, and brain circuits into psychiatry treatment.