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Volumetric and structural connectivity abnormalities co-localise in TLE

Lookup NU author(s): Jonathan Horsley, Dr Gabrielle SchroederORCiD, Dr Rhys ThomasORCiD, Professor Yujiang WangORCiD, Professor Peter TaylorORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2022Patients with temporal lobe epilepsy (TLE) exhibit both volumetric and structural connectivity abnormalities relative to healthy controls. How these abnormalities inter-relate and their mechanisms are unclear. We computed grey matter volumetric changes and white matter structural connectivity abnormalities in 144 patients with unilateral TLE and 96 healthy controls. Regional volumes were calculated using T1-weighted MRI, while structural connectivity was derived using white matter fibre tractography from diffusion-weighted MRI. For each regional volume and each connection strength, we calculated the effect size between patient and control groups in a group-level analysis. We then applied hierarchical regression to investigate the relationship between volumetric and structural connectivity abnormalities in individuals. Additionally, we quantified whether abnormalities co-localised within individual patients by computing Dice similarity scores. In TLE, white matter connectivity abnormalities were greater when joining two grey matter regions with abnormal volumes. Similarly, grey matter volumetric abnormalities were greater when joined by abnormal white matter connections. The extent of volumetric and connectivity abnormalities related to epilepsy duration, but co-localisation did not. Co-localisation was primarily driven by neighbouring abnormalities in the ipsilateral hemisphere. Overall, volumetric and structural connectivity abnormalities were related in TLE. Our results suggest that shared mechanisms may underlie changes in both volume and connectivity alterations in patients with TLE.


Publication metadata

Author(s): Horsley JJ, Schroeder GM, Thomas RH, de Tisi J, Vos SB, Winston GP, Duncan JS, Wang Y, Taylor PN

Publication type: Article

Publication status: Published

Journal: NeuroImage: Clinical

Year: 2022

Volume: 35

Online publication date: 09/07/2022

Acceptance date: 29/06/2022

Date deposited: 04/07/2023

ISSN (print): 2213-1582

Publisher: Elsevier Inc.

URL: https://doi.org/10.1016/j.nicl.2022.103105

DOI: 10.1016/j.nicl.2022.103105


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Funding

Funder referenceFunder name
218380
EP/L015358/1EPSRC
G0802012
MR/T04294X/1
MR/M00841X/1
MR/V026569/1
NIHR UCLH/UCL Biomedical Research Centre

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