Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.nicl.2021.102709
Title: Intra- and inter-hemispheric structural connectome in agenesis of the corpus callosum
Authors: Shi, Minghui
Freitas, Lorena G. A.
Spencer-Smith, Megan M.
Kebets, Valeria 
Anderson, Vicki
McIlroy, Alissandra
Wood, Amanda G.
Leventer, Richard J.
Van de Ville, Dimitri
Siffredi, Vanessa
Keywords: Agenesis of the corpus callosum
Brain plasticity
Graph metrics
Structural connectome
Issue Date: 1-Jan-2021
Publisher: Elsevier Inc.
Citation: Shi, Minghui, Freitas, Lorena G. A., Spencer-Smith, Megan M., Kebets, Valeria, Anderson, Vicki, McIlroy, Alissandra, Wood, Amanda G., Leventer, Richard J., Van de Ville, Dimitri, Siffredi, Vanessa (2021-01-01). Intra- and inter-hemispheric structural connectome in agenesis of the corpus callosum. NeuroImage: Clinical 31 : 102709. ScholarBank@NUS Repository. https://doi.org/10.1016/j.nicl.2021.102709
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Agenesis of the corpus callosum (AgCC) is a congenital brain malformation characterized by the complete or partial failure to develop the corpus callosum. Despite missing the largest white matter bundle connecting the left and right hemispheres of the brain, studies have shown preserved inter-hemispheric communication in individuals with AgCC. It is likely that plasticity provides mechanisms for the brain to adjust in the context of AgCC, as the malformation disrupts programmed developmental brain processes very early on. A proposed candidate for neuroplastic response in individuals with AgCC is strengthening of intra-hemispheric structural connections. In the present study, we explore this hypothesis using a graph-based approach of the structural connectome, which enables intra- and inter-hemispheric analyses at multiple resolutions and quantification of structural characteristics through graph metrics. Structural graph metrics of 19 children with AgCC (13 with complete, 6 with partial AgCC) were compared to those of 29 typically developing controls (TDC). Associations between structural graph metrics and a wide range of neurobehavioral outcomes were examined using a multivariate data-driven approach (Partial Least Squares Correlation, PLSC). Our results provide new evidence suggesting structural strengthening of intra-hemispheric pathways as a neuroplastic response in the acallosal brain, and highlight regional variability in structural connectivity in children with AgCC compared to TDC. There was little evidence that structural graph properties in children with AgCC were associated with neurobehavioral outcomes. To our knowledge, this is the first report leveraging graph theory tools to explicitly characterize whole-brain intra- and inter-hemispheric structural connectivity in AgCC, opening avenues for future research on neuroplastic responses in AgCC. © 2021 The Author(s)
Source Title: NeuroImage: Clinical
URI: https://scholarbank.nus.edu.sg/handle/10635/232540
ISSN: 2213-1582
DOI: 10.1016/j.nicl.2021.102709
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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