Segmentation of Grey and White Matter Hyperintensity in Typically Developing Children and Children With Intellectual...

Area of Science:

• Neuroscience
• Developmental Neuroscience
• Medical Imaging

Background:

• Intellectual disability (ID) is a neurodevelopmental disorder characterized by significant limitations in intellectual functioning and adaptive behavior.
• Understanding the neurobiological underpinnings of ID is crucial for developing effective interventions and diagnostic tools.
• Brain morphometry studies, particularly those using magnetic resonance imaging (MRI), offer valuable insights into structural brain differences associated with various neurological conditions.

Purpose of the Study:

• To evaluate childhood brain volumes using voxel-based morphometry in children with mild to moderate intellectual disability (ID) and healthy controls.
• To examine the relationships between grey matter (GMV), white matter (WMV), and total brain volume (TBV) in children with and without ID.
• To assess the potential of these brain structures as diagnostic biomarkers for intellectual disability.

Main Methods:

• Sixty children (aged 6-12 years) with mild to moderate ID and 60 age- and sex-matched healthy controls participated.
• Total brain volume (TBV), white matter volume (WMV), and grey matter volume (GMV) were automatically calculated from MRI scans.
• Statistical analyses included Shapiro-Wilk tests for normality, Welch t-tests for group comparisons, and multiple/logistic regression for associations.

Main Results:

• Age was a significant predictor of total brain volume (TBV).
• White matter volume (WMV) and grey matter volume (GMV) significantly predicted diagnostic status (ID vs. controls).
• A multicollinearity issue was identified in the analysis of WMV, indicated by extremely high odds ratios.

Conclusions:

• White and grey matter volumes may differ between children with intellectual disability and healthy controls.
• These brain structures show potential as diagnostic biomarkers for intellectual disability.
• The study highlights the developmental heterogeneity of the brain in childhood, with limitations including sample size, outliers, and multicollinearity.