Brain development and aging involve a large number of inter-related biological processes that are shaped by genes and environment from conception onwards. Population neuroscience endeavors to identify and model such processes and influences using a combination of epidemiology, “omics” sciences, and neuroimaging, as applied in large cohorts and meta-analytical datasets. In this effort, practitioners of population neuroscience are cognizant of three key challenges inherent in their pursuits: (1) An infinite combination of factors influencing the brain from within (genes and their regulation) and the outside (social and physical environment); (2) Presence of developmental cascades that carry such influences from one time point to the next, from one organ to another, and from one level of organization to a different one; and (3) Structural and functional complexity of the human brain.
This Research Topic will collect contributions that speak to current advancements in relevant methodological (e.g., digital ecology & ethology, high-throughput omics) and conceptual (e.g., causality, cross-organ cascades) issues, reviews, and meta-analyses of (published) population-based studies of brain development and aging (normative and clinical), as well as new (original) reports generated using a population-neuroscience framework. In addition, the Topic will be enriched by contributions that bring together “big data” to advance our understanding of factors underlying vulnerability to psychiatric and neurologic disorders throughout the life course.
The Topic Editors, T. Paus., S. Debette, and S.Seshadri declare that they are affiliated with the consortium CHARGE and ENIGMA.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. All contributions will be brought together in an E-book, which can be downloaded and shared for free by everyone.
Brain development and aging involve a large number of inter-related biological processes that are shaped by genes and environment from conception onwards. Population neuroscience endeavors to identify and model such processes and influences using a combination of epidemiology, “omics” sciences, and neuroimaging, as applied in large cohorts and meta-analytical datasets. In this effort, practitioners of population neuroscience are cognizant of three key challenges inherent in their pursuits: (1) An infinite combination of factors influencing the brain from within (genes and their regulation) and the outside (social and physical environment); (2) Presence of developmental cascades that carry such influences from one time point to the next, from one organ to another, and from one level of organization to a different one; and (3) Structural and functional complexity of the human brain.
This Research Topic will collect contributions that speak to current advancements in relevant methodological (e.g., digital ecology & ethology, high-throughput omics) and conceptual (e.g., causality, cross-organ cascades) issues, reviews, and meta-analyses of (published) population-based studies of brain development and aging (normative and clinical), as well as new (original) reports generated using a population-neuroscience framework. In addition, the Topic will be enriched by contributions that bring together “big data” to advance our understanding of factors underlying vulnerability to psychiatric and neurologic disorders throughout the life course.
The Topic Editors, T. Paus., S. Debette, and S.Seshadri declare that they are affiliated with the consortium CHARGE and ENIGMA.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. All contributions will be brought together in an E-book, which can be downloaded and shared for free by everyone.
