The overarching goal of the research group is to understand how different local and network patterns of neural activity and connectivity form the effective and adaptive system that allows the brain to support the extensive scope tasks humans face every day. We approach this question by developing signal processing and analysis methods and by applying advanced statistical and computational analyses on various kinds of neuroimaging data collected from healthy subjects across the human lifespan as well as from patient populations. In particular, the goal is to obtain a holistic picture of the links between various kinds of neural processes (phase-locked, oscillatory and aperiodic activity, cortico-peripheral and cortico-cortical connectivity) and quantifiable aspects of behavior across different modalities (e.g., language, working-memory, motor function).