Evidence map›Paper›PMID 41880651›Full record

ArticleEpilepsia open2026

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

Victoria Ives-Deliperi, Jonathan Ipser, James T Butler, Heath Pardoe, Hamid Soltanian-Zadeh, Christian Rummel, Roland Wiest, Simon S Keller, Barbara A K Kreilkamp, Anna Elisabetta Vaudano and 19 more

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Article in Epilepsia open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Victoria Ives-DeliperiDepartment of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-2640-249X
Jonathan IpserDepartment of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-1272-0032
James T ButlerDepartment of Neurology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-1978-6894
Heath PardoeDepartment of Neurology, NYU Langone School of Medicine, New York University, New York, New York, USA.ORCID https://orcid.org/0000-0002-0123-2167
Hamid Soltanian-ZadehRadiology and Research Administration, Henry Ford Health System, Detroit, Michigan, USA.ORCID https://orcid.org/0000-0002-7302-6856
Christian RummelSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-2345-7938
Roland WiestSupport Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-7030-2045
Simon S KellerDepartment of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0001-5247-9795
Barbara A K KreilkampUniversity Medical Center Göttingen, Neurology, Göttingen, Germany.ORCID https://orcid.org/0000-0001-6881-5191
Anna Elisabetta VaudanoDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0002-6280-7526
Alice BalleriniDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0002-0544-1599
Stefano MelettiDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0003-0334-539X
Gerard HallCNNP Lab, ICOS Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-5212-7850
Peter TaylorCNNP Lab, ICOS Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-2144-9838
Luis ConchaInstituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, México.ORCID https://orcid.org/0000-0002-7842-3869
Alfonso Fajardo-ValdezInstituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, México.ORCID https://orcid.org/0000-0001-9819-8083
Raphael Fernandes CassebNeuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, SP, Brazil.ORCID https://orcid.org/0000-0002-0643-7110
Fernando CendesNeuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, SP, Brazil.ORCID https://orcid.org/0000-0001-9336-9568
Clarissa L YasudaNeuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, SP, Brazil.ORCID https://orcid.org/0000-0001-9084-7173
Louis LemieuxDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0003-3036-7412
John S DuncanDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-1373-0681
Esmaeil Davoodi-BodjNeurology Department, Henry Ford Health System, Detroit, Michigan, USA.
Orrin DevinskyDepartment of Neurology, NYU Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0003-0044-4632
Sophia I ThomopoulosImaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.ORCID https://orcid.org/0000-0002-0046-4070
Dan J SteinDepartment of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-7218-7810
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.ORCID https://orcid.org/0000-0002-4720-8867
Sanjay M SisodiyaDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-1511-5893
Taha GholipourDepartment of Neurosciences, University of California san Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0002-8751-0593
Carrie R McDonaldDepartment of Radiation Medicine and Applied Sciences and Psychiatry, University of California san Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0003-3307-9870

Funding

Lifespan Epilepsy Network Signatures (LENS): Leveraging ENIGMA-Epilepsy to Predict Cognitive Aging and Surgical OutcomesR01NS122827 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARRIE R MCDONALD · 2021 to 2026
$3.8M
Predicting epilepsy surgery outcomes from individualized resting state functional anomaliesK23NS135108 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Taha Gholipour · 2024 to 2026
$703k
Conselho Nacional de Desenvolvimento Científico e Tecnológico 315953/2021-7Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IB201712Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IG200117Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IN213423Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/07559-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2020/00019-7NIH HHS K23NS135108NIH HHS R01NS122187NIH HHS R01NS122827NINDS NIH HHS K23 NS135108NINDS NIH HHS R01 NS122827Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 180365Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 320030-141165Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 33CM30-140332Wellcome Trust
6 · The paper itself

Abstract

objectivesTemporal 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.

methodsResting-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.

resultsWe 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.

Indexed as

functional MRIresting‐state functional connectivitytemporal lobe epilepsy

Identifiers

PMID41880651
PMCPMC13394335

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.