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Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
Published on: April 22, 2015
Alterations in hub organization in the white matter structural network in toddlers with autism spectrum disorder: A
Lu Qian1,2,3, Yao Wang1, KangKang Chu1
1Child Mental Health Research Center, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Insights
Autism spectrum disorder (ASD) toddlers show stable white matter network hubs with minor differences compared to controls. Hub alterations in specific brain regions correlate with behavioral changes, suggesting potential biomarkers for ASD.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Imaging
Background:
- Longitudinal developmental patterns of white matter (WM) structural network hubs in toddlers with autism spectrum disorder (ASD) are not well understood.
- Understanding these patterns is crucial for identifying potential biomarkers and therapeutic targets for ASD.
Purpose of the Study:
- To investigate the longitudinal development of whole-brain WM structural network hubs in toddlers with ASD.
- To examine alterations in network hubs and their correlation with behavioral data in ASD.
Main Methods:
- Diffusion tensor imaging (DTI) and deterministic tractography were used to map WM structural networks.
- Graph-theoretical methods were applied to analyze network hubs at baseline and 2-year follow-up in 37 ASD toddlers and 27 controls (aged 2-3 years).
Main Results:
- ASD toddlers exhibited relatively stable network hub distributions with minor differences compared to controls over 2 years.
- 17 hubs were identified in ASD subjects, with 13 unchanged and 4 newly identified from baseline.
- Alterations in hubs within the right middle frontal gyrus, right insula, left median cingulate gyri, and bilateral precuneus correlated with behavioral data in ASD.
Conclusions:
- ASD children aged 2-5 years demonstrate relatively stable WM network hub organization with subtle differences.
- Abnormal developmental patterns in specific brain regions may underlie social and nonsocial behavioral abnormalities in ASD.
- Findings suggest potential biomarkers for ASD diagnosis and monitoring treatment effects.
Abstract:
Little is currently known about the longitudinal developmental patterns of hubs in the whole-brain white matter (WM) structural networks among toddlers with autism spectrum disorder (ASD). This study utilized diffusion tensor imaging (DTI) and deterministic tractography to map the WM structural networks in 37 ASD toddlers and 27 age-, gender- and developmental quotient-matched controls with developmental delay (DD) toddlers aged 2-3 years old at baseline (Time 1) and at 2-year follow-up (Time 2). Furthermore, graph-theoretical methods were applied to investigate alterations in the network hubs in these patients at the two time points. The results showed that after 2 years, 17 hubs were identified in the ASD subjects compared to the controls, including 13 hubs that had not changed from baseline and 4 hubs that were newly identified. In addition, alterations in the properties of the hubs of the right middle frontal gyrus, right insula, left median cingulate gyri, and bilateral precuneus were significantly correlated with alterations in the behavioral data for ASD patients. These results indicated that at the stage of 2-5 years of age, ASD children showed distributions of network hubs that were relatively stable, with minor differences. Abnormal developmental patterns in the five areas mentioned above in ASD may contribute to abnormalities in the social and nonsocial characteristics of this disorder. Autism Res 2018, 11: 1218-1228. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This work studied the longitudinal developmental patterns of hubs in the whole-brain white matter (WM) structural network among toddlers with autism spectrum disorder (ASD). The findings of this study could have implications for understanding how the abnormalities in hub organization in ASD account for behavioral deficits in patients and may provide potential biomarkers for disease diagnosis and the subsequent monitoring of progression and treatment effects for patients with ASD.
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