Assessment & Research

Altered Higher-Order Structural and Functional Connectivity Coupling in Autism Spectrum Disorder.

Dai et al. (2026) · Journal of autism and developmental disorders 2026
★ The Verdict

Ask for higher-order brain-coupling scores; weak links track autism severity and can steer your treatment targets.

✓ Read this if BCBAs who sit in IEP meetings where neuroimaging reports are shared.
✗ Skip if Clinicians who only use behavior data and never see brain scans.

01Research in Context

01

What this study did

Dai et al. (2026) looked at higher-order brain connections in kids with autism.

They compared wiring maps to kids without autism.

They used scans that show both structure and function at the same time.

02

What they found

Kids with autism had weaker coupling in rich-club and default-mode areas.

The weaker the coupling, the more severe the autism traits.

These spots handle big-picture thinking and social cues.

03

How this fits with other research

Ke et al. (2020) saw more random jumps in the same networks.

Together the papers say lines are both noisy and loosely tied in autism.

Erickson et al. (2016) found local wiring extra tight in older kids.

The new study shows long, indirect paths are loose while short paths can be tight.

Whitehouse et al. (2014) used EEG and saw less left-right talk.

All three point to the same picture: autism shifts how far and how steady signals travel.

04

Why it matters

When you read a neuro report, ask for higher-order coupling numbers, not just single spots.

Low scores can guide you to target social and flexible thinking skills in your next plan.

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02At a glance

Intervention
not applicable
Design
other
Sample size
140
Population
autism spectrum disorder, neurotypical
Finding
not reported

03Original abstract

BACKGROUND: While direct brain connection differences are well-documented in Autism Spectrum Disorder (ASD), brain function also critically depends on indirect, higher-order structural connections (hSC). Understanding the influence of these connections on functional relationships is key to unraveling the neural mechanisms of ASD. METHODS: This study included 76 participants with ASD and 64 typically development (TD). We utilized the node2vec embedding method to characterize brain nodes and construct hSC networks, which were then differentiated into direct and indirect connectivity networks. The structural-functional coupling (SC-FC coupling) method was subsequently employed to quantify the relationship between structural and functional connectivity. RESULTS: Our findings demonstrated significant differences in SC-FC coupling within the ASD group. These alterations were particularly evident in rich club connections and within specific modules, including the default mode network and visual network. Furthermore, the coupling strengths of several brain regions-specifically the left dorsolateral superior frontal gyrus, left middle orbital gyrus, left olfactory cortex, and right superior temporal gyrus-were found to be associated with the severity of ASD symptoms. CONCLUSION: These results underscore the importance of considering higher-order network interactions when analyzing structural and functional relationships in neurodevelopmental disorders. This study offers new insights into the neural mechanisms of ASD by highlighting the role of hSC and its coupling with functional connectivity.

Journal of autism and developmental disorders, 2026 · doi:10.1109/TCYB.2023.3344641