The association of structural connectome efficiency with cognition in children with epilepsy

Julie Woodfield, Richard F.M. Chin, Monique M.J. van Schooneveld, Martijn van den Heuvel, Mark E. Bastin, Kees P.J. Braun

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Objective: Cognitive impairment is common in children with epilepsy (CWE), but understanding the underlying pathological processes is challenging. We aimed to investigate the association of structural brain network organisation with cognition. Methods: This was a retrospective cohort study of CWE without structural brain abnormalities, comparing whole brain network characteristics between those with cognitive impairment and those with intact cognition. We created structural whole-brain connectomes from anatomical and diffusion tensor magnetic resonance imaging using the number of streamlines and tract-averaged fractional anisotropy. We assessed the differences in average path length and global network efficiency between children with cognitive impairment and those without,using multivariable analyses to account for possible clinical group differences. Results: Twenty-eight CWE and cognitive impairment had lower whole brain network global efficiency compared with 34 children with intact cognition (0.54, standard deviation (SD):0.003 vs. 0.56, SD:0.002, p < 0.001), which is equivalent to longer normalized network average path lengths (1.14, SD:0.05 vs. 1.10, SD:0.02, p = 0.003). In multivariable logistic regression cognitive impairment was not significantly associated with age of onset, duration of epilepsy, or number of antiseizure medications, but was independently associated with daily seizures (p = 0.04) and normalized average path length (p = 0.007). Conclusions: Higher structural network average path length and lower global network efficiency may be imaging biomarkers of cognitive impairment in epilepsy. Understanding what leads to changes in structural connectivity could aid identification of modifiable risk factors for cognitive impairment. These findings are only applicable to the specific cohort studied, and further confirmation in other cohorts is required.

    Original languageEnglish
    Article number109462
    Pages (from-to)1-8
    Number of pages8
    JournalEpilepsy and Behavior
    Volume148
    Early online date14 Oct 2023
    DOIs
    Publication statusPublished - Nov 2023

    Keywords

    • Connectome
    • Epilepsy
    • Graph theory
    • Intellectual disability
    • Network

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