Abnormal functional connectivity patterns in temporal lobe epilepsy-An international ENIGMA-epilepsy study



Ives-Deliperi, Victoria, Ipser, Jonathan, Butler, James T, Pardoe, Heath, Soltanian-Zadeh, Hamid, Rummel, Christian, Wiest, Roland, Keller, Simon S ORCID: 0000-0001-5247-9795, Kreilkamp, Barbara AK, Vaudano, Anna Elisabetta
et al (show 19 more authors) (2026) Abnormal functional connectivity patterns in temporal lobe epilepsy-An international ENIGMA-epilepsy study EPILEPSIA OPEN. ISSN 2470-9239, 2470-9239

Access the full-text of this item by clicking on the Open Access link.

Abstract

Objectives: Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting-state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ENIGMA-Epilepsy. Methods: Resting-state functional MRI datasets from nine centers across North America, South America, Europe and South Africa, including 442 people with TLE and 387 healthy adults, were analyzed. We examined group differences in whole-brain connectivity in patients compared to controls in seven major RSNs. We also investigated whole-brain connectivity maps for key nodes within the default mode network (DMN). Furthermore, the associations between connectivity patterns and clinical variables were assessed. Results: We found lower within-network connectivity scores (13.6% on average) and higher between-network connectivity scores (129% on average) in non-limbic RSN in TLE. This pattern was reproducible across all seven sites and most robust for DMN and visual networks. Patterns of connectivity were not associated with age of seizure onset or disease duration and were mostly similar in patients with left and right TLE with a few exceptions; isolated regions of high connectivity in left TLE and lower connectivity in right TLE compared to controls. Significance: We show strong evidence of lower connectivity within most RSNs and higher connectivity outside of these networks that was highly consistent across geographically diverse sites, demonstrating the robustness and generalizability of our findings. The findings demonstrate a consistent disruption of network organization in TLE that may underlie cognitive co-morbidities and seizure propagation patterns observed in this patient population. Plain Language Summary: In this international ENIGMA-Epilepsy study, resting-state fMRI data from 442 individuals with TLE showed reduced connectivity within major resting-state networks (about 14% lower) and markedly increased connectivity between networks (about 129% higher), compared to 387 healthy controls. These patterns were highly reproducible across sites. Connectivity alterations were not related to age of onset or disease duration and were largely similar across left and right TLE, aside from small, region-specific differences. Overall, the study demonstrates a robust, widespread reorganization of brain network connectivity in TLE, which may help explain associated cognitive difficulties and seizure spread.

Item Type: Article
Uncontrolled Keywords: functional MRI, resting-state functional connectivity, temporal lobe epilepsy
Divisions: Faculty of Health & Life Sciences
Faculty of Health & Life Sciences > Inst. Systems, Molec & Integrative Biology
Faculty of Health & Life Sciences > Inst. Systems, Molec & Integrative Biology > Inst. Systems, Molec & Integrative Biology (T&R Staff)
Faculty of Health & Life Sciences > Inst. Systems, Molec & Integrative Biology > Pharmacology & Therapeutics
Depositing User: Symplectic Admin
Date Deposited: 26 Mar 2026 15:28
Last Modified: 16 Jun 2026 20:25
DOI: 10.1002/epi4.70209
Open Access URL: https://onlinelibrary.wiley.com/doi/10.1002/epi4.7...
Related Websites:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3197699
Disclaimer: The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.