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Published on: July 30, 2009
Neurodevelopmental disorders in children: the role of MRI in early detection and intervention planning
Chen Hua1, Xue-Ling Wang2, Hui Sheng2
1Department of Child Mental Health, Yantaishan Hospital, Yantai, China.
Insights
Early detection of neurodevelopmental disorders (NDDs) is crucial for better outcomes. Magnetic resonance imaging (MRI) shows promise in identifying subtle early brain changes, aiding diagnosis and intervention.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Radiology
Background:
- Neurodevelopmental disorders (NDDs) arise from disrupted early brain maturation, causing lasting cognitive, behavioral, and motor deficits.
- Early intervention during childhood's heightened neuroplasticity is key for improving long-term outcomes.
- Current diagnostic methods often delay detection of subtle early alterations.
Purpose of the Study:
- To review the role of pediatric magnetic resonance imaging (MRI) in the early detection and risk stratification of NDDs.
- To highlight current evidence on MRI approaches, predictive biomarkers, and disease-specific findings in pediatric NDDs.
- To discuss the translational applications of advanced MRI techniques for NDDs.
Main Methods:
- Review of current literature on pediatric MRI modalities for NDDs.
- Analysis of various MRI techniques including diffusion imaging, quantitative MRI, resting state functional MRI, and spectroscopy.
- Integration of machine learning and genomic approaches with MRI data.
Main Results:
- MRI can detect neurochemical, microstructural, and functional abnormalities in various NDDs.
- Specific MRI modalities show potential for identifying early predictive biomarkers for NDDs.
- Combined MRI, machine learning, and genomic data offer promising avenues for early detection and risk stratification.
Conclusions:
- Pediatric MRI is a critical tool for understanding and diagnosing NDDs.
- Advanced MRI techniques, coupled with machine learning and genomics, can significantly improve early detection and intervention for NDDs.
- Translational applications of these approaches are essential for improving developmental outcomes in affected children.
Abstract:
A group of diseases caused by disruptions in early brain maturation is collectively known as neurodevelopmental disorders (NDDs). These are characterized by persistent deficits in cognition, behavior, social or motor functioning. The heightened neuroplasticity could be modulated by appropriate intervention during early childhood. Therefore, early detection of NDDs is critical to improve long term developmental outcomes. However, conventional and behavioral studies are insufficient to detect the subtle early alterations, causing diagnostic delays. So, for NDDs, magnetic resonance imaging (MRI) serves as a critical tool for elucidating neurochemical, microstructural, and functional abnormalities. It has the potential to detect the alterations associated with different NDDs including autism spectrum disorder, attention deficit/hyperactivity disorder, genetic/metabolic syndromes, cerebral palsy, and developmental delay. Multiple modalities of MRI such as diffusion imaging, quantitative MRI, resting state functional MRI, and spectroscopy are applied for these disorders. Collectively, these MRI modalities, machine learning and integrative genomic approaches offer promising biomarkers for early detection and risk stratification of NDDs. This review highlights the current evidence on the bases of pediatric MRI approaches, early predictive biomarkers, disease specific findings, and translational applications.
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