
Population Neuroimaging
Description
Key Features
- 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)
Readership
Table of Contents
Part I Overview and Design Considerations
1. Overview and introduction
1.1. Overview of population neuroscience
1.2. Introduction to epidemiologic principles
1.3. Neuroimaging primer
1.4. Introduction to population neuroimaging
2. Population Neuroimaging Study design, Setup, and Quality
2.1. Study designs
2.2. Protocol Considerations
Imaging sequences
Multisite Considerations
2.3. Protocol Stability and Quality Control (perhaps split into 2 chapters)
Phantom, Human, Scanner Stability, Protocol Stability
3. Infrastructure for Large Scale Population Neuroimaging Studies
3.1. Data storage and management
3.2. Image analysis
3.3. high performance computing
4. Image Processing
4.1. Structural
4.2. Diffusion Tensor Imaging
4.3. Resting State Functional MRI
4.4. Task-based Functional MRI
4.5. Other sequences
4.6. Quality Control
5. Incidental Findings
5.1. General (protocol options, sequence selection)
5.2. Ethical considerations
Part II Methodological and Statistical Considerations
6. Statistical challenges in Population Neuroimaging
6.1. Statistical inference and multiple testing correction
6.2. effect sizes, confidence intervals
6.3. multivariate methods
6.4. novel population methods
7. Methodological challenges
7.1. Confounding
7.2. Other bias
7.3. Epidemiological Methods
7.4. Causal Inference
8. Replication, Reproducibility, Reliability
8.1. General
8.2. State of the ArtPart III Applications
9. Public Health Relevance
9.1. World Health Organization / OHBM initiative
9.2. Under-represented countries in brain mapping
9.3. Opportunities for population neuroimaging in public health
10. Population Neuroimaging Domains
10.1. Prenatal Exposures
10.2. Neurology
10.3. Radiology
10.4. Psychiatry
10.5. Family/Early Environment
10.6. Stress and brain development
10.7. Air pollution
10.8. Public Health
10.9. Imaging Genetics
11. Data Sharing
11.1. General
11.2. Open Cohort Profiles
12. Future Directions
12.1. Discovering transdiagnostic stratifications
12.2. Normative Modelling
12.3. Multimodal integration
12.4. Multi-organ systems interactions
12.5. Role in Precision Medicine
Product details
- No. of pages: 350
- Language: English
- Copyright: © Academic Press 2022
- Published: November 1, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780443151965