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Population Neuroimaging: Neuroimaging Methods and Applications

Editat de Ryan Muetzel, Tonya White, Henning Tiemeier
en Limba Engleză Paperback – 2 iun 2026
Population Neuroimaging covers important themes within population neuroimaging and provides the reader with the tools to understand and engage in population-based neuroimaging studies. This emerging field empowers readers to understand brain structure, function, development, and aging 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.

  • 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
  • Outlines the neuroinformatic, statistical, and methodological challenges associated with large samples of neuroimaging data
  • Examines important considerations and opportunities for reproducibility and replication
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Specificații

ISBN-13: 9780443151965
ISBN-10: 0443151962
Pagini: 350
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Seria Neuroimaging Methods and Applications


Public țintă

Upper level undergraduates, Graduate students, researchers in neuroscience, biomedical engineering, electronic engineering, clinicians, epidemiology, genetics

Cuprins

Part I Overview and Design Considerations
1. Overview and introduction
2. Population Neuroimaging Study design, Setup, and Quality
3. Infrastructure for Large Scale Population Neuroimaging Studies
4. Image Processing
5. Incidental Findings

Part II Methodological and Statistical Considerations
6. Statistical challenges in Population Neuroimaging
7. Methodological challenges
8. Replication, Reproducibility, Reliability

Part III Applications
9. Public Health Relevance
10. Population Neuroimaging Domains
11. Data Sharing
12. Future Directions