Longitudinal volumetric brain changes in autism spectrum disorder ages 6-35 years.
Autistic brains follow a unique lifetime curve—early overgrowth, brief plateau, then steady tissue loss—so monitor skills across the lifespan.
01Research in Context
What this study did
Lange et al. (2015) scanned the same people with autism and typical controls many times. Ages ranged from 6 to 35 years.
They measured total brain volume, white matter, and ventricles. The design lets us see real growth curves, not just snapshots.
What they found
Kids with autism started with bigger brains. Around puberty their volume caught up to controls, then kept shrinking into adulthood.
White matter dropped and ventricles enlarged. The pattern is a clear arc: overgrow, match, then decline.
How this fits with other research
Noordenbos et al. (2012) saw the same white-matter loss, but only in the corpus callosum over two years. Nicholas shows the drop is brain-wide and lifelong.
Chien et al. (2026) looked closer at white-matter microstructure. They found steady drift away from typical development, no catch-up phase. The studies seem opposite, but Yi-Ling used diffusion scans that pick up damage earlier than volume loss.
Gandhi et al. (2022) followed autistic adults past age 35. Hippocampus shrank faster and memory scores fell. Nicholas sets up the curve; A et al. prove the decline keeps going.
Why it matters
Brain change in autism does not stop at 18. Expect older clients to show new motor, memory, or planning slips that look like 'regression' but are slow neuro-anatomy change. Build long-term goals that revisit adaptive skills every few years, not just at transition.
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02At a glance
03Original abstract
Since the impairments associated with autism spectrum disorder (ASD) tend to persist or worsen from childhood into adulthood, it is of critical importance to examine how the brain develops over this growth epoch. We report initial findings on whole and regional longitudinal brain development in 100 male participants with ASD (226 high-quality magnetic resonance imaging [MRI] scans; mean inter-scan interval 2.7 years) compared to 56 typically developing controls (TDCs) (117 high-quality scans; mean inter-scan interval 2.6 years) from childhood into adulthood, for a total of 156 participants scanned over an 8-year period. This initial analysis includes between one and three high-quality scans per participant that have been processed and segmented to date, with 21% having one scan, 27% with two scans, and 52% with three scans in the ASD sample; corresponding percentages for the TDC sample are 30%, 30%, and 40%. The proportion of participants with multiple scans (79% of ASDs and 68% of TDCs) was high in comparison to that of large longitudinal neuroimaging studies of typical development. We provide volumetric growth curves for the entire brain, total gray matter (GM), frontal GM, temporal GM, parietal GM, occipital GM, total cortical white matter (WM), corpus callosum, caudate, thalamus, total cerebellum, and total ventricles. Mean volume of cortical WM was reduced significantly. Mean ventricular volume was increased in the ASD sample relative to the TDCs across the broad age range studied. Decreases in regional mean volumes in the ASD sample most often were due to decreases during late adolescence and adulthood. The growth curve of whole brain volume over time showed increased volumes in young children with autism, and subsequently decreased during adolescence to meet the TDC curve between 10 and 15 years of age. The volume of many structures continued to decline atypically into adulthood in the ASD sample. The data suggest that ASD is a dynamic disorder with complex changes in whole and regional brain volumes that change over time from childhood into adulthood.
Autism research : official journal of the International Society for Autism Research, 2015 · doi:10.1073/pnas.1003109107