Evidence map›Paper›PMID 41804632›Full record

ArticleEpilepsia2026

Contralateral language network integration predicts and protects against naming decline after temporal lobe resection.

Karl-Heinz Nenning, Karin Trimmel, Lisa Bartha-Doering, Marc Berger, Matthias J Koepp, Georg Langs, Gregor Kasprian, John S Duncan, Silvia B Bonelli

Abstract read
In one paragraph

Article in Epilepsia, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Karl-Heinz NenningCenter for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, New York, USA.ORCID https://orcid.org/0000-0002-1073-9891
Karin TrimmelDepartment of Neurology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-9203-5344
Lisa Bartha-DoeringDepartment of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-0546-8425
Marc BergerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0009-0002-5056-6339
Matthias J KoeppDepartment of Clinical and Experimental Epilepsy, University College London Institute of Neurology, Queen Square, London, UK.ORCID https://orcid.org/0000-0002-4277-8000
Georg LangsComputational Imaging Research Lab, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-5536-6873
Gregor KasprianDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-3858-3347
John S DuncanDepartment of Clinical and Experimental Epilepsy, University College London Institute of Neurology, Queen Square, London, UK.ORCID https://orcid.org/0000-0002-1373-0681
Silvia B BonelliDepartment of Neurology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-6346-8474

Funding

Ludwig Boltzmann Gesellschaft LBG_KFG_2024_023
6 · The paper itself

Abstract

objectiveAnterior temporal lobe resection (ATLR) is an effective treatment for drug-resistant temporal lobe epilepsy (TLE) but carries a substantial risk of language impairment, particularly in naming. Understanding and predicting the impact of ATLR on language functions remains a major clinical challenge.

methodsIn this study, we used functional magnetic resonance imaging (fMRI) to investigate the short-term effects of ATLR on the organization of the functional language connectome with a focus on the role of the nondominant hemisphere. We studied 44 patients with TLE due to unilateral hippocampal sclerosis (24 left, 20 right) who underwent language fMRI and neuropsychological testing preoperatively and 4 months after ATLR. We examined functional connectivity changes pre- and postsurgery and their relationship with neuropsychological performance.

resultsATLR induced widespread alterations in functional connectivity, with distinct ipsilateral disruptions and contralateral compensatory changes. Left ATLR reduced mainly interhemispheric temporal connectivity, whereas right ATLR primarily affected bilateral frontal connections. Postoperatively, left ATLR showed increased intrahemispheric frontotemporal connectivity, and right ATLR exhibited more widespread intra- and interhemispheric increases. In left TLE, better preoperative naming was associated with stronger connectivity of the right (nondominant) temporal lobe and between the left inferior frontal cortex and bilateral posterior hippocampi. Postoperatively, reduced right frontotemporal integration was linked to greater naming decline, underscoring a compensatory role of the nondominant hemisphere. Finally, a machine learning model using preoperative functional connectivity fingerprints outperformed demographic and clinical variables in predicting clinically significant naming decline following ATLR. SIGNIFICANCE: Our findings highlight the critical role of the right temporal lobe in supporting naming function after left ATLR and suggest that preoperative assessment of its connectivity may improve prediction of postoperative language outcomes.

Indexed as

Anterior Temporal LobectomyDrug Resistant EpilepsyEpilepsy, Temporal LobeLanguageLanguage DisordersPostoperative ComplicationsTemporal LobeAdultConnectomeFemaleFunctional LateralityHippocampal SclerosisHumansMagnetic Resonance ImagingMaleMiddle AgedATLRfunctional connectivitynamingoutcome predictiontemporal lobe epilepsy

Identifiers

PMID41804632
PMCPMC13285248

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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.