NeuroImageNeurosciencePeer-reviewed journal article
Whole-brain structural connectome asymmetry in autism
Seulki Yoo, Yurim JangiD, Seok‐Jun HongiD, Hyunjin ParkiD, Sofie Louise ValkiD, Boris C. BernhardtiD, Bo‐yong ParkiD
Abstract
AO_SCPLOWBSTRACTC_SCPLOWAutism spectrum disorder is a common neurodevelopmental condition that manifests as a disruption in sensory and social skills. Although it has been shown that the brain morphology of individuals with autism is asymmetric, how this differentially affects the structural connectome organization of each hemisphere remains under-investigated. We studied whole-brain structural connectivity-based brain asymmetry in 47 individuals with autism and 37 healthy controls using diffusion magnetic resonance imaging obtained from the Autism Brain Imaging Data Exchange initiative. By leveraging dimensionality reduction techniques, we constructed low-dimensional representations of structural connectivity and calculated their asymmetry index. We compared the asymmetry index between individuals with autism and neurotypical controls and found atypical structural connectome asymmetry in the sensory, default-mode, and limbic networks and the caudate in autism. Network communication provided topological underpinnings by demonstrating that the temporal and dorsolateral prefrontal regions showed reduced global network communication efficiency and decreased send-receive network navigation in the caudate region in individuals with autism. Finally, supervised machine learning revealed that structural connectome asymmetry is associated with communication-related autistic symptoms and nonverbal intelligence. Our findings provide insights into macroscale structural connectome alterations in autism and their topological underpinnings.
- organism: human
- assay: imaging
- research focus: dimensionality reduction
- research focus: benchmarking
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 16
- FWCI
- 3.88
- Field percentile
- top 6%
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