Quantitative diffusion tensor imaging and intellectual outcomes in spina bifida: laboratory investigation

Area of Science:

• Neuroimaging
• Developmental Neuroscience
• Pediatric Neurology

Background:

• Spina bifida (SB) is a complex congenital condition associated with variable intellectual outcomes.
• Understanding the neurobiological underpinnings of cognitive variability in SB is crucial for targeted interventions.

Purpose of the Study:

• To utilize diffusion tensor imaging (DT) to quantify whole-brain volumes and regional microstructural integrity in children with SB.
• To investigate the relationship between DT imaging metrics and intellectual outcomes in patients with SB.

Main Methods:

• MR imaging with DT image acquisition was performed on 29 children with myelomeningocele and 20 controls.
• DT imaging-derived metrics, including fractional anisotropy (FA) and diffusivities, were used for brain segmentation and regional analysis.
• Intelligence assessments were conducted, and a region-of-interest analysis focused on white and gray matter structures implicated in hydrocephalus.

Main Results:

• Patients with SB exhibited decreased whole-brain gray matter volume and increased cerebrospinal fluid (CSF).
• Regional analysis revealed altered microstructural integrity in the caudate nucleus and posterior limb of the internal capsule, suggesting impaired neuronal connectivity and myelination.
• DT imaging metrics of gray matter volume and the caudate nucleus significantly predicted variations in IQ.

Conclusions:

• Diffusion tensor imaging provides noninvasive neuronal surrogate markers for studying the pathogenesis of spina bifida.
• DT imaging metrics can predict general intellectual outcomes in children with SB, offering potential for early identification and support.