Over the last 25 years, we investigated vulnerability and resilience in a life-span perspective, based on the integration of psychological and neurobiological perspectives, using affective modifications of experimental paradigms, as well as behavioral measures, neuroimaging techniques, and physiological indicators. To investigate causal mechanisms, cognitive training and neurostimulation have been used. We currently investigate biobehavioral triadic dynamics of resilience transmission in families based on interpersonal synchrony; the effect of physical exercise on neurocognitive and physiological markers of stress resilience; and the use of personalized hybrid machine learning based on sensor and smartphone data to predict stress reactivity. The aim of this project is to translate these data to develop an integrative framework on the role of brain health shaped by social connection, lifestyle and stress regulation, to inform preventive strategies.