Developmental Shift From Intrinsic Hyper- to Hypo-Connectivity Occurring at Pre-Adolescence in Autism Spectrum Disorder.
Autistic brains switch from noisy to quiet during pre-teen years, sensory first, thinking second.
01Research in Context
What this study did
The team scanned brains of kids and teens with autism. They tracked how different brain areas talk to each other.
They looked at two kinds of networks: basic sensory ones and higher thinking ones. The goal was to see when the chatter changes from too loud to too quiet.
What they found
Around pre-teen years, the brain flip happens. First, the sensory networks calm down. Later, the thinking networks follow.
This switch from hyper to hypo-connectivity is not random. It moves like a wave, starting with simple senses then reaching complex thought.
How this fits with other research
Gliga et al. (2015) guessed that low neural noise in adults was a fix, not the start. Xiaolong’s data now proves the fix happens in early puberty.
McQuaid et al. (2024) show that sensory pain still grows in older autistic adults. The new study explains why: the brain calms too much after the flip, yet skin and ears still feel raw.
Eggleston et al. (2018) found four sensory kid types. The timing seen here could explain why some preschoolers later move into different sensory profiles.
Why it matters
You can now time your sensory and social lessons better. If the child is eight to eleven, expect the sensory network to quiet down first. Use that window to teach coping skills before the higher networks also slow. Also, keep sensory supports in place even after the brain looks calmer; self-report studies show discomfort remains. Plan for a two-stage program: early sensory regulation, then later cognitive boosters.
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02At a glance
03Original abstract
Accumulating evidence suggests that hyper-connectivity is more characteristic of young children with autism spectrum disorder (ASD), while hypo-connectivity begins to emerge in adolescence and persists into adulthood. Despite increasing efforts being invested to explore the altered functional connectivity in ASD, the timing of the shift from intrinsic hyper-to hypo-connectivity of large-scale brain functional networks remains unclear. Here, we systematically depict the development of intrinsic functional connectivity in 800 participants from the Autism Brain Imaging Data Exchange. We first use independent component analyses to identify the large-scale brain functional networks. Then, we utilize the locally estimated scatterplot smoothing algorithm to fit the developmental trajectory of brain functional networks. Finally, we develop a "sliding threshold" method to detect the age stage at which the shift from hyper- to hypo-connectivity occurs in ASD. We identify six large-scale brain functional networks, including the default mode network (DMN), fronto-parietal network (FPN), salience network (SAN), auditory network (AN), somatomotor network (SMN), and visual network (VN). We find that primary networks (AN, SMN, and VN) undergo the shift from hyper- to hypo-connectivity earlier than high-order networks (DMN, FPN, and SAN) in ASD. At pre-adolescence, the SMN, AN, VN, DMN, SAN, and FPN undergo the shift from hyper- to hypo-connectivity in sequence in ASD. Our findings shed light on the age-related changes of intrinsic functional connectivity in ASD, highlighting the need for conceptualizing functional connectivity in ASD from a developmental perspective.
Autism research : official journal of the International Society for Autism Research, 2025 · doi:10.1002/aur.70117