Evidence map›Paper›PMID 41842763›Full record

ArticleEpilepsia2026

Thalamic connectivity mirrors spatial maps of network dysfunction in nonlesional focal epilepsy.

Joline M Fan, Ehsan Tadayon, Kiwamu Kudo, Kamalini G Ranasinghe, Anne M Findlay, Robert C Knowlton, Vikram R Rao, Srikantan S Nagarajan

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

What it found

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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

The trial behind it

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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

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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

8 authors.

Joline M FanDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-1099-8479
Ehsan TadayonDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.
Kiwamu KudoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Kamalini G RanasingheDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.
Anne M FindlayDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Robert C KnowltonDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-5146-9664
Vikram R RaoDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-6389-2638
Srikantan S NagarajanDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.

Funding

Dynamic Brain Imaging of Speech in Primary Progressive AphasiaRF1NS100440 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA, HOUDE, JOHN FRANCIS · 2023 to 2023
$2.4M
Network dynamics of sleep-wake states in epilepsyK23NS125123 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joline Fan · 2023 to 2026
$868k
Brain and Behavior Research FoundationDoris Duke Charitable Foundation #2021090NIH HHS 1R01AG088398-01NIH HHS K23NS125123NINDS NIH HHS K23 NS125123NINDS NIH HHS RF1 NS100440Tianqiao and Chrissy Chen Institute
6 · The paper itself

Abstract

objectiveFocal epilepsy is increasingly conceptualized as a network disorder, yet the extent to which network dysfunction reflects a shared phenotype remains unknown. Spatially conserved patterns of network dysfunction may implicate a centralized mechanism underlying widespread impairment. Here, we investigate whether network connectivity disruptions are spatially similar across temporal lobe and extra-temporal lobe epilepsy cohorts and whether shared dysfunction aligns with thalamic connectivity profiles.

methodsWe retrospectively analyzed resting-state magnetoencephalographic imaging from 71 individuals with nonlesional, drug-resistant focal epilepsy (n = 45 temporal, n = 26 extratemporal), collected between 2014 and 2023, and healthy controls (n = 18). Source reconstructed time series were bandpass filtered, and long-range functional connectivity was quantified using imaginary coherence. Network disturbance maps were computed as T-score maps, comparing functional connectivity in epilepsy cohorts to controls, across topographical parcels and frequency bands. Spatial similarity of temporal and extratemporal network dysfunction maps were assessed using Pearson correlations. To infer thalamic involvement, shared network dysfunction maps were correlated with normative functional magnetic resonance imaging-derived thalamocortical connectivity profiles.

resultsExtra-temporal lobe epilepsy demonstrated reduced global network connectivity relative to controls in the delta (p = .012), alpha (p = .034), and gamma (p < .001) frequency bands. Across all frequencies, the spatial patterns of network disturbances between temporal and extratemporal cohorts were significantly correlated (r = .287-.717, all p < .001), indicating a shared network dysfunction. Shared spatial maps of network dysfunction correlated with normative thalamocortical connectivity profiles, with significant correlations in the anterior, pulvinar, and dorsomedial thalamus. SIGNIFICANCE: Nonlesional focal epilepsy exhibits a common, frequency-dependent pattern of cortical network dysfunction that is spatially aligned with thalamic connectivity, supporting a thalamic hub contribution to widespread network impairment.

Indexed as

Cerebral CortexDrug Resistant EpilepsyEpilepsies, PartialNerve NetThalamusAdolescentAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMagnetoencephalographyMaleMiddle AgedNeural PathwaysRetrospective Studiesanterior thalamusdorsomedial thalamusmagnetoencephalographypulvinar nucleusspatial topology

Identifiers

PMID41842763
PMCPMC13285236

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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.