SOURCE-LINKED INTELLIGENCE

Brain Predictors of Resilience to Adversity in Adolescence

CORDIS · observation · Publication date unknown

e neurobiological mechanisms that predict and support the development of resilience remain to be elucidated. BRAVA will address this gap using a falsifiable, hypothesis-driven approach that leverages machine learning (ML) and readily available, large samples of adolescents to develop the first brain markers that predict resilience to ACEs and to CP at the individual level. BRAVA will identify and compare the neurobiological mechanisms promoting resilience to ACEs and to CP in adolescents in a developmentally attuned manner. This will be achieved through an interdisciplinary and international collaboration between pioneers in ML applied to large-scale, longitudinal datasets (McGill University, outgoing phase) and in the neurobiology of CP in youth (University of Barcelona, return phase). My expertise in pediatric neuroimaging incorporating developmental and social psychology perspectives, as well as my capacity to foster interdisciplinary and international collaborations, make me the perfect fit to lead this project. The excellent training plan will enhance my ability to conduct high-

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recordType

award

status

SIGNED

region

EU

value

318138.72

unit

EUR