Population neuroimaging is an emerging field with the goal to understand brain structure, function, development, and ageing within the general population, including the inherent variety and diversity of health or illness within the population. Unlike studies that recruit patients with specific illnesses, population neuroimaging encompasses epidemiological approaches to better understand genetic and environmental factors that contribute to both brain health and brain disorders in the population at large. This book covers important themes within population neuroimaging and provides the reader with the tools to understand and engage in population-based neuroimaging studies.

• Highlights the importance of epidemiological concepts in neuroimaging and gives an overview of population neuroscience
• Provides hands-on self-learning tutorials such as the effect of confounding bias on neuroimaging data, multiple imputations of missing covariates, etc.
• Shows the steps and considerations for designing large-scale neuromaging studies and outlines the neuroinformatic, statistical and methodological challenges associated with large samples of neuroimaging data
• Examines the important considerations and opportunities for reproducibility and replication
• Discusses ethical issues such as incidental findings, data sharing, while providing details on the public health relevance of neuroimaging research, including striving for better generalizability and representativeness
• Gives a detailed review of the current population neuro-imaging/science literature on key topics, including prenatal exposures, psychiatry/neurology, imaging genetics and more
• Provides a detailed cohort profiles for several population neuroimaging datasets (e.g., ABCD and UKBB)