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001030931 0247_ $$2doi$$a10.1109/EMBC40787.2023.10340029
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001030931 037__ $$aFZJ-2024-05523
001030931 1001_ $$0P:(DE-HGF)0$$aYoo, Seulki$$b0
001030931 1112_ $$a45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)$$cSydney$$d2023-07-24 - 2023-07-27$$wAustralia
001030931 245__ $$aAtypical structural connectome asymmetry and associations with network communication in autism spectrum disorder
001030931 260__ $$bIEEE$$c2023
001030931 29510 $$a2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) : [Proceedings] - IEEE, 2023. - ISBN 979-8-3503-2447-1 - doi:10.1109/EMBC40787.2023.10340029
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001030931 520__ $$aAutism spectrum disorder is a common neurodevelopmental condition showing connectome disorganization in sensory and transmodal cortices. However, alterations in the inter-hemispheric asymmetry of structural connectome are remained to be investigated. Here, we studied structural connectome asymmetry in individuals with autism using dimensionality reduction techniques and assessed its topological underpinnings by associating with network communication measures. We found that the sensory and heteromodal association regions showed significant between-group differences in inter-hemispheric asymmetry between individuals with autism and neurotypical controls. In addition, the network communication ability was particularly altered between visual and limbic areas. Our findings provide insights for understanding structural connectome alteration in autism and its topological underpinnings.Clinical Relevance— This study provides insights into the understanding of atypical macroscale structural connectome organization in individuals with autism.
001030931 536__ $$0G:(DE-HGF)POF4-5252$$a5252 - Brain Dysfunction and Plasticity (POF4-525)$$cPOF4-525$$fPOF IV$$x0
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001030931 7001_ $$0P:(DE-HGF)0$$aJang, Yurim$$b1
001030931 7001_ $$0P:(DE-HGF)0$$aHong, Seok-Jun$$b2
001030931 7001_ $$0P:(DE-HGF)0$$aPark, Hyunjin$$b3
001030931 7001_ $$0P:(DE-Juel1)173843$$aValk, Sofie L.$$b4$$eCorresponding author$$ufzj
001030931 7001_ $$0P:(DE-HGF)0$$aBernhardt, Boris C.$$b5
001030931 7001_ $$0P:(DE-HGF)0$$aPark, Bo-Yong$$b6
001030931 773__ $$a10.1109/EMBC40787.2023.10340029
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001030931 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173843$$aForschungszentrum Jülich$$b4$$kFZJ
001030931 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)173843$$a Max Planck Institute for Cognitive and Brain Sciences, Leipzig$$b4
001030931 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5252$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001030931 9141_ $$y2024
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