Effortless Assessment Research System (TIGER EARS)

MR imaging is currently not an accessible technology but smartphones are. EARS is a pioneering smartphone app that leverages data collected seamlessly from naturalistic phone usage (including social media use, keyboard content, and geolocation) in order to infer cognitive and affective states relevant for depression risk. The goal of TIGER EARS is to integrate digital phenotypes with neurobiological phenotypes in order to move toward scalable biomarkers of depression. TIGER EARS is being conducted in collaboration with Dr. Nicholas Allen at the University of Oregon and founder of Ksana Health.

Neural correlates of depression-related smartphone language use in adolescents

Blood–Brain Barrier Response to Immune Disruption: Gateways to Emotion (BRIDGE) – COMING SOON!

In collaboration with Drs. Mike Irwin and Steve Cole at the UCLA Cousins Center for Psychoneuroimmunology, BRIDGE is a mechanistic study aimed at understanding how challenges to the immune system affect permeability of the blood–brain barrier, glutamate metabolism, cytokine production, gene expression of inflammatory genes, and measures of mood, motivation, and cognition. This 10-hour long study takes place in-person at UCLA and will involve a subcutaneous injection (with either placebo or an inflammatory substance) and serial blood draws and MRI scans. Please contact Dr. Tiffany Ho at tiffanycho@ucla.edu if you are interested in participating and/or contributing to this study as a researcher!

Barriers to Being on Antidepressants (BOBA) and Beliefs on Behaviors and Access to Social Media (BOBAS)

The BOBA study comprises of focus groups and youth advisory boards to help researchers learn about the barriers that individuals who are historically underrepresented in biomedical research face with respect to participating in research studies.

We are also actively recruiting for BOBAS, which focuses on how best to conduct studies focused on the role of social media and social behaviors in depression from youth with lived experience. Please contact Cheryl Sun at cherylsun@psych.ucla.edu if you are interested in participating in BOBA/BOBAS!

Social Processing Task (SPT)

How social information is processed, represented, and remembered in the brain has important implications for adolescent development and risk for depression. In this study, we are relating aspects of social media use and reactions to social stimuli with brain function in young people (ages 14-21 years). You will be asked to complete an online profile that will be shared only with others who are participating in this research, and will also need to complete an fMRI scan at UCLA. Please contact Shiyin Liu at candylabstudy@g.ucla.edu with the subject title “SPT” if you are interested in participating in this study!

Women’s Affect, Variability, Endocrinology, and Stress (WAVES)

WAVES is a dense-sampling project led by graduate student, Melanie Dratva, that focuses on the role of ovarian hormones dynamics on brain-derived neurotropic factors and mood health in typically cycling women. This 6-week study will require daily saliva samples and questionnaires (to be completed remotely), weekly biospecimen collection at UCLA, and two MRI scans at UCLA. Please contact Melanie Dratva at candylabstudy@g.ucla.edu with the subject title “WAVES” if you are interested in participating in this study!

Multimodal Assessment of Inhibitory Control in High Risk Adolescents (MICA)[Data Analysis Stage]

Daughters of depressed mothers are at higher-risk for developing major depressive disorder by early adulthood. To develop more targeted early identification and prevention efforts for this HR population, it is essential to clarify risk factors associated with this illness early in development. It is not yet clear whether inhibitory control across multiple levels of assessment (report, behavioral performance, neuroimaging task activation, and functional connectivity) is a relevant risk factor for depression, evident in those at high-risk before first onset. This project, in its data analysis stages, is examining the dimensionality and construct utility of inhibitory control in mother-daughter dyads, whether inhibitory control is concordant between mothers and daughters, and how childhood adversity and inhibitory control contribute to onset of mood symptoms over 18-month follow-ups.

If you are interested in contributing to the data analysis stages of this project, please contact Dr. Katie Bessette at katiebessette@g.ucla.edu.