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Updated: Feb 2, 2026

Studying Brain Function in Children Using Magnetoencephalography
Published on: April 8, 2019
Altered cerebral morphometry and individual-based morphological brain network in children with beta-thalassaemia
Yaowen Li1, Zhuoshuo Li2, Shumin Xu1
1Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China.
Insights
Beta-thalassemia major (TM) in children causes brain structure changes, particularly in motor and temporal areas. Iron overload is linked to these neurological effects and cognitive impairments, highlighting the need for integrated care.
Area of Science:
- Neuroscience
- Genetics
- Pediatrics
Background:
- Beta-thalassemia major (TM) is a severe genetic blood disorder impacting pediatric patients.
- Cognitive impairments are common in TM, but neurological effects are understudied.
Purpose of the Study:
- Investigate cerebral gray matter morphology and brain network topology in children with TM.
- Correlate neurological findings with cognitive performance and hematological markers.
Main Methods:
- Utilized high-resolution MRI and FreeSurfer for cortical morphology analysis.
- Constructed Morphological Brain Networks (MBNs) to assess structural connectivity.
- Analyzed cognitive function and blood parameters (hemoglobin, iron) in 27 TM patients and 40 controls.
Main Results:
- Identified structural disruptions in motor and temporal cortices of TM patients.
- Detected topological abnormalities in fronto-parietal networks, indicating altered connectivity.
- Found significant correlations between iron overload, brain structural changes, and network organization.
Conclusions:
- Children with TM exhibit neurological vulnerability with structural brain alterations.
- Iron dysregulation is a potential mechanism linking TM to neural dysfunction and cognitive deficits.
- Neuroimaging and hematological profiles are crucial for understanding TM's impact on brain development and guiding interventions.
Abstract:
Beta-thalassemia major (TM) is a severe genetic blood disorder that frequently leads to cognitive impairments in pediatric patients, yet its neurological impact remains insufficiently explored. This study investigates alterations in cerebral gray matter morphology and brain network topology in children with TM and their associations with cognitive performance. High-resolution brain MRI data were processed using FreeSurfer to extract cortical morphological features, from which individual-based Morphological Brain Networks (MBNs) were constructed based on vertex-wise similarity across gray matter regions. A cohort of 27 children with TM and 40 age-matched healthy controls underwent structural network analysis, standardized cognitive assessments, and comprehensive blood testing, including evaluations of hemoglobin and iron concentrations. Results revealed marked structural disruptions in the motor and temporal cortices of TM patients. Network-level analysis further identified topological abnormalities within fronto-parietal regions, suggesting altered structural connectivity patterns that may underlie observed cognitive deficits. Notably, iron overload was significantly correlated with both regional brain changes and impaired network organization, indicating a plausible mechanistic link between systemic iron dysregulation and neural dysfunction. These findings underscore the neurological vulnerability of children with TM and illuminate the structural basis of their cognitive challenges. The study highlights the need to integrate neuroimaging biomarkers with clinical hematological profiles to better understand TM's effects on brain development. Future work should aim to expand these findings through longitudinal designs and larger samples to inform early neurocognitive interventions and optimize treatment strategies for this vulnerable population.
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