Population Neuroimaging: Neuroimaging Methods and Applications
Editat de Ryan Muetzel, Tonya White, Henning Tiemeieren Limba Engleză Paperback – 2 iun 2026
- 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
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, geneticsCuprins
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
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