Developmental Neuroimaging
Developmental Neuroimaging - Related Videos
15:18
Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
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Cited by 139 •
2009
Despite an increase in the use of structural and functional magnetic resonance imaging (fMRI) in humans, the study of young pediatric populations remains a challenge. We present a hands-on, step-by-step video protocol including guidelines for clinicians and researchers intending to perform (f)MRI in young children.
06:35
Basics of Multivariate Analysis in Neuroimaging Data
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Cited by 37 •
2010
The current article describes the basics of multivariate analysis and contrasts it to the more commonly used voxel-wise univariate analysis. Both types of analysis are applied to a clinical-neuroscience data set. Supplementary split-half simulations show better replication of the multivariate results in independent data sets.
09:06
An Introduction to Developmental Genetics
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2023
Development is the complex process through which a single-celled embryo transforms into a multicellular organism. Developmental processes are guided by information encoded in an organism's DNA, and geneticists are trying to understand how this information leads to a fully formed organism. This video reviews seminal research in the field of developmental biology, including the identification of specific genes that control various embryonic processes. An introduction to the major questions asked...
09:24
An Introduction to Developmental Neurobiology
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2023
Developmental neuroscience is a field that explores how the nervous system is formed, from early embryonic stages through adulthood. Although it is known that neural progenitor cells follow predictable stages of proliferation, differentiation, migration, and maturation, the mechanisms controlling the progression through each stage are incompletely understood. Studying development is not only important for understanding how complex structures are assembled, but also for characterizing and...
09:27
An Introduction to Molecular Developmental Biology
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2023
Molecular signals play a major role in the complex processes occurring during embryonic development. These signals regulate activities such as cell differentiation and migration, which contribute to the formation of specific cell types and structures. The use of molecular approaches allows researchers to investigate these physical and chemical mechanisms in detail. This video will review a brief history of the study of molecular events during development. Next, key questions asked by molecular...
FAQs
The modalities address complementary aspects of maturation. Structural MRI characterizes brain anatomy, diffusion MRI measures white-matter organization, and functional MRI captures activity-related blood-oxygen-level changes. Examining these measurements together allows researchers to compare changes in tissue structure, connectivity, and function rather than relying on a single indicator of development.
They help distinguish developmental change from differences between individuals of different ages. Measurements collected across age groups or over longitudinal studies can reveal typical trajectories in brain structure, connectivity, and function. Researchers can then examine whether variation in these trajectories corresponds with differences in cognition, behavior, or developmental outcomes.
Functional MRI uses blood-oxygen-level changes as an activity-related measure, providing evidence about brain function during development. These measurements can be examined alongside structural and connectivity data to investigate how functional maturation relates to cognition and behavior. The resulting patterns support comparisons between typical development and atypical developmental trajectories.
Researchers compare quantitative measurements across ages or longitudinal time points and relate them to cognitive or behavioral information. Structural, white-matter, and activity-related measures can be evaluated as distinct but connected indicators of maturation. This approach helps identify developmental trajectories and assess whether observed neural patterns are associated with typical or atypical outcomes.
The approach can help identify atypical trajectories by comparing brain measurements with patterns observed during typical development. Researchers may examine differences in anatomy, white-matter organization, connectivity, or function and relate them to cognition and behavior. Such evidence supports investigations of how developmental disorders are associated with changes across multiple neural properties.
By tracking changes in brain structure, connectivity, and function across development, these studies provide quantitative evidence for brain maturation. In neuroscience, the measurements can be used to examine brain network formation and plasticity, including how experience relates to developmental change. Linking neural measures with cognition and behavior adds functional context to these processes.