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

*Corresponding author for this work

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

Bibliographical note

Funding Information:
This work was supported by The Wellcome Trust via the Edinburgh Clinical Academic Track (ECAT) Clinical Lectureship Scheme (106364/Z/14/Z). The funder had no role in study design, collection, analysis, and interpretation of data, the writing of the report, or the decision to submit the article for publication. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.

Publisher Copyright:
© 2023 The Author(s)

Funding

This work was supported by The Wellcome Trust via the Edinburgh Clinical Academic Track (ECAT) Clinical Lectureship Scheme (106364/Z/14/Z). The funder had no role in study design, collection, analysis, and interpretation of data, the writing of the report, or the decision to submit the article for publication. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.

FundersFunder number
Not added106364, 106364/Z/14/Z

    Keywords

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

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