UNDERSTANDING MECHANISMS OF RISK AND RESILIENCE THROUGHOUT BRAIN DEVELOPMENT
THE CHALLENGES THAT DRIVE OUR WORK
To understand why some youths who grow up with developmental stress become suicidal, while others are not (resilient).
To timely identify those at risk for serious psychopathology and divert the developmental trajectory from risk to resilience.
THE QUESTIONS WE ASK
What are the mechanisms that drive variability in the development of brain and behavior?
How do environmental (E) exposures (e.g., trauma, neighborhood environment) interact among themselves (E X E), and with biological (e.g., genetic (G)) factors (G X E), to shape developmental trajectories of youth?
Promote resilience and prevent suicide and serious psychiatric outcomes in youths.
Conduct impactful translational science aimed at reducing youth mental health burden.
In BarziLab, we use multiple methods to understand variability in the development of brain and behavior.
We study how a myriad of environmental exposures (such as trauma and socioeconomic factors) dynamically interact among themselves, and with biological factors (such as genetic and epigenetic) to shape the development of brain and behavior.
We collect and analyze large human datasets.
We do collaborative interdisciplinary science.
We work with basic scientists to inform mechanistic gaps that can only be investigated in animal models.
CONDUCT LONGITUDINAL STUDIES
BarziLab studies at-risk youths throughout development in attempt to elucidate the immune mechanisms associated with risk and resilience to developmental stress.
ANALYSE EXISTING LARGE-SCALE INFORMATIVE DATASETS
BarziLab uses available human datasets that can inform on the factors (features) that drive risk and resilience. We are specifically interested in integrating data from multiple levels of environmental exposures (exposome) with large scale biological data (e.g., genomics, imaging) and other available data sources (such as electronic health records) in order to better understand complex mechanisms of development and to allow prediction of adverse behavioural outcomes such as suicidal behavior.
Identifying subclinical behaviors as markers for serious psychopathology risk
We aim to solve complicated challenges that require a multidisciplinary team of clinicians,
data scientists, geneticists, immunologists, developmental psychologists, basic neuroscientists and computational biologists.
Barzilay R, Lawrence GM, Berliner A, Gur RE, Leventer-Roberts M, Weizman A, Feldman B. (2019). Association between prenatal exposure to a 1-month period of repeated rocket attacks and neuropsychiatric outcomes up through age 9: a retrospective cohort study. European Child and Adolescent Psychiatry. In press.
Barzilay R, Calkins ME, Moore TM, Boyd RC, Jones JD, Benton T, Oquendo MA, Gur RC, Gur RE. (2019). Neurocognitive functioning in community youth with suicidal ideation: gender and pubertal effects. The British Journal of Psychiatry, 215 (3), 552-558.
Featured in Medscape: “Youth suicidal ideation does not suggest lower intelligence”.https://www.medscape.com/viewarticle/911705
Barzilay R, Calkins ME, Moore TM, Wolf DH, Satterthwaite TD, Scott JC, Jones JD, Benton TD, Gur RC, Gur RE. (2019). Association between traumatic stress load, psychopathology and cognition in the Philadelphia Neurodevelopmental Cohort. Psychological Medicine, 49(2), 325-334.
Barzilay R, Patrick AM, Calkins ME, Moore TM, Wolf DH, Benton TD, Leckman JF, Gur RC, Gur RE. (2019). Obsessive compulsive symptomatology in community youth: Typical development or a red flag for psychopathology? Journal of the American Academy of Child & Adolescent Psychiatry, 58(2), 277-286.
Featured in Medscape: “OCS symptoms and risk of psychopathology”. https://www.medscape.com/viewarticle/908230