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001024849 1001_ $$0P:(DE-HGF)0$$aYoo, Seulki$$b0
001024849 245__ $$aWhole-brain structural connectome asymmetry in autism
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001024849 520__ $$aAutism spectrum disorder is a common neurodevelopmental condition that manifests as a disruption in sensory and social skills. Although it has been shown that the brain morphology of individuals with autism is asymmetric, how this differentially affects the structural connectome organization of each hemisphere remains under-investigated. We studied whole-brain structural connectivity-based brain asymmetry in individuals with autism using diffusion magnetic resonance imaging obtained from the Autism Brain Imaging Data Exchange initiative. By leveraging dimensionality reduction techniques, we constructed low-dimensional representations of structural connectivity and calculated their asymmetry index. Comparing the asymmetry index between individuals with autism and neurotypical controls, we found atypical structural connectome asymmetry in the sensory and default-mode regions, particularly showing weaker asymmetry towards the right hemisphere in autism. Network communication provided topological underpinnings by demonstrating that the inferior temporal cortex and limbic and frontoparietal regions showed reduced global network communication efficiency and decreased send-receive network navigation in the inferior temporal and lateral visual cortices in individuals with autism. Finally, supervised machine learning revealed that structural connectome asymmetry could be used as a measure for predicting communication-related autistic symptoms and nonverbal intelligence. Our findings provide insights into macroscale structural connectome alterations in autism and their topological underpinnings.
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001024849 7001_ $$0P:(DE-HGF)0$$aJang, Yurim$$b1
001024849 7001_ $$0P:(DE-HGF)0$$aHong, Seok-Jun$$b2
001024849 7001_ $$0P:(DE-HGF)0$$aPark, Hyunjin$$b3
001024849 7001_ $$0P:(DE-Juel1)173843$$aValk, Sofie L.$$b4
001024849 7001_ $$0P:(DE-HGF)0$$aBernhardt, Boris C.$$b5
001024849 7001_ $$0P:(DE-HGF)0$$aPark, Bo-yong$$b6$$eCorresponding author
001024849 773__ $$0PERI:(DE-600)1471418-8$$a10.1016/j.neuroimage.2024.120534$$gVol. 288, p. 120534 -$$p120534 -$$tNeuroImage$$v288$$x1053-8119$$y2024
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001024849 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)173843$$a Max Planck Institute for Cognitive and Brain Sciences, Leipzig,$$b4
001024849 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Department of Data Science, Inha University, Incheon, the Republic of Korea. boyong.park@inha.ac.kr$$b6
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