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Updated: Feb 11, 2026
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EEG Mu Rhythm in Typical and Atypical Development
Published on: April 9, 2014
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A Network Neuroscience Approach to Typical and Atypical Brain Development
Sarah E Morgan1, Simon R White2, Edward T Bullmore3
1Behavioural and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Summary
This review explores how human brain network development, studied with neuroimaging, informs understanding of neurodevelopmental disorders like ADHD and autism. Longitudinal data reveals critical changes in brain function over time.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Neuroimaging
Background:
- Human brain networks derived from neuroimaging are valuable for understanding brain function and disorders.
- Many brain disorders originate during development, necessitating the study of dynamic network changes over time.
- Characterizing static brain networks is insufficient for understanding neurodevelopmental origins of disorders.
Purpose of the Study:
- To review the literature on developmental changes in brain network phenotypes.
- To highlight the role of longitudinal data in mapping healthy brain development.
- To connect healthy brain development insights to understanding neurodevelopmental disorders.
Main Methods:
- Review of recent large-scale mapping efforts of healthy brain development.
- Analysis of longitudinal neuroimaging data with repeated measurements.
- Examination of studies bridging macroscopic neuroimaging and microscopic levels.
- Focus on three specific neurodevelopmental disorders: psychotic disorders, ADHD, and ASD.
Main Results:
- Longitudinal data is crucial for understanding developmental changes in brain networks.
- Healthy brain network development provides insights into disorder-specific atypicalities.
- Progress has been made in understanding brain network development in psychotic disorders, ADHD, and ASD.
Conclusions:
- Understanding dynamic brain network development is key to characterizing neurodevelopmental disorders.
- Future research should continue to integrate longitudinal data and multi-level analyses.
- Further investigation into atypical brain network development in specific disorders is warranted.
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