Population Neuroimaging

Population Neuroimaging

1st Edition - November 1, 2022

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  • Editors: Ryan Muetzel, Tonya White
  • Paperback ISBN: 9780443151965

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Description

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.

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

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

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 Art

    Part 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

About the Editors

Ryan Muetzel

Ryan Muetzel, PhD, is an Assistant Professor in the Department of Child and Adolescent Psychiatry/Psychology at the Erasmus MC University Medical Center in Rotterdam. Ryan completed his undergraduate training in psychology and biology at the University of Minnesota, and his Master of Science degree in Epidemiology at the Netherlands Institute for Health Sciences. His PhD focused on population neuroscience and neuroimaging at the Erasmus University in Rotterdam. He Co-Directs one of the world’s largest neuroimaging studies of neurodevelopment, the Generation R Study. His group, the Integrative and Precision Neuroimaging Lab focuses on studying typical and atypical brain development using longitudinal neuroimaging data across four domains: i.) understanding the bidirectional relationship between psychiatric problems and brain over time, ii.) using statistical learning techniques to identify complex patterns in neuroimaging data which are predictive of mental illness, iii.) understanding how various risk and resilience factors shape the brain in the context of mental illness, and iv.) development of open source population neuroimaging tools which enable neuroimaging researchers to incorporate epidemiological concepts into their work.

Affiliations and Expertise

Assistant Professor, Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands

Tonya White

Tonya White, MD, PhD is an associate professor in the Department of Child and Adolescent Psychiatry at Erasmus MC University Medical Center in Rotterdam. She received Bachelors (Magna Cum Laude from the University of Utah) and Masters (University of Illinois) degrees in Electrical Engineering prior to completing medical school at the University of Illinois and later a Ph.D. from Erasmus University in Rotterdam, the Netherlands. Her residency involved a combined pediatrics, psychiatry, and child and adolescent psychiatry program (Triple Board Program) at the University of Utah, after which she completed a research fellowship in neuroimaging under the mentorship of Nancy C. Andreasen. Following a junior faculty position at the University of Minnesota, she joined the faculty at Erasmus University Medical Center in 2009 to set up and direct the neuroimaging program in the Generation R study, which has become the largest neuroimaging birth cohort in the world. Her primary focus is in pediatric population neuroimaging. Her primary research goals are to apply neuroimaging techniques to obtaining a better understanding of genetic and environmental factors associated with typical and atypical brain development in hopes that this will translate into either preventing or decreasing the morbidity of severe psychiatric disorders.

Affiliations and Expertise

Associate Professor, Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, The Netherlands

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