Diffusion trajectory of atypical morphological development in autism spectrum disorder.

Researchers studied brain scans from nearly 700 children and teens (ages 8-18), including 301 with autism. They found that autistic brains develop differently during the teenage years. Early in adolescence, certain brain areas were larger than typical, but by late adolescence, these same areas became smaller than typical. The biggest differences were in brain regions important for social communication and sensory processing.

The study shows that autism involves changing patterns of brain development during the crucial teenage years.

This study examined brain development in 301 individuals with autism and 375 typically developing controls aged 8-18 years using neuroimaging data. Researchers analyzed gray matter volume changes and functional connectivity across adolescence. Key findings revealed a developmental shift in autism: early adolescence showed increased gray matter volume compared to controls, which transitioned to reduced volume in late adolescence. The largest differences occurred in brain regions including the superior temporal sulcus, cingulate gyrus, insula, and superior parietal lobule.

Network modeling demonstrated that functional brain networks constrain how atypical brain development unfolds, with earlier developmental patterns predicting later changes. This suggests autism involves dynamic brain development shifts from overgrowth to delayed maturation during adolescence.

Findings suggest intervention strategies may need to be adapted for different stages of adolescent development in autism. The shift from overgrowth to delayed maturation patterns may explain why some interventions are more effective at certain ages. Understanding these developmental trajectories could inform timing of therapeutic approaches and help predict individual developmental outcomes.

Study relies on cross-sectional rather than longitudinal data, limiting ability to track individual developmental trajectories. Network diffusion modeling approach requires validation. Sample characteristics and potential confounding factors not fully detailed in abstract. Functional implications of observed structural changes remain unclear.

Brain development from childhood through adolescence is crucial for understanding autism spectrum disorder (ASD). Yet how functional networks regulate developmental changes in brain morphology remains unclear. Here, we analyzed gray matter volume (GMV) and functional connectivity (FC) in 301 individuals with ASD and 375 typically developing controls (TDCs), aged 8-18 years, from the Autism Brain Imaging Data Exchange (ABIDE). Using a sliding-window approach, participants were stratified by age, and GMV distribution deviations (DEV) were quantified with Kullback-Leibler divergence and expected value analysis.

Network diffusion modeling (NDM) was applied to predict developmental alterations and evaluate how functional networks constrain atypical neurodevelopment. Results revealed a developmental shift in GMV divergence: during early adolescence, ASD participants showed positive GMV deviations relative to TDCs, which shifted to negative in late adolescence. The largest DEV were observed in the superior temporal sulcus, cingulate gyrus, insula, and superior parietal lobule. Furthermore, NDM demonstrated cross-stage predictability, as DEV values of atypical brain regions at preceding age stages significantly predicting subsequent ones, constrained by network architecture.

These findings highlight a dynamic developmental shift from GMV overgrowth to delayed maturation during adolescence in ASD and revealing the role of intrinsic functional networks in constraining atypical anatomical development.