Evidence map›Paper›PMID 41931039›Full record

ArticleEpilepsia2026

Language mapped to a high-resolution brain atlas for surgical evaluation of epilepsy patients.

Elizabeth M Watson, Evan Collins, Omar Chishti, Ryan Bose-Roy, Hari McGrath, Natalie Akierman Segal, Rachel Lehman, Adithya Sivaraju, Hitten P Zaveri, Dennis D Spencer

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

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

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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

10 authors.

Elizabeth M WatsonDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0002-6392-6751
Evan CollinsDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0003-0774-6975
Omar ChishtiDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-1789-0030
Ryan Bose-RoyDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0008-9711-2135
Hari McGrathDepartment of Oral and Maxillofacial Surgery, Northwick Park Hospital, London, UK.ORCID https://orcid.org/0000-0002-0037-4761
Natalie Akierman SegalDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0008-6330-7647
Rachel LehmanDaniel Hand High School, Madison, Connecticut, USA.ORCID https://orcid.org/0009-0005-6620-1336
Adithya SivarajuDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-6027-9205
Hitten P ZaveriDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-7830-0052
Dennis D SpencerDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-1276-0467

Funding

Network analysis for epilepsy surgeryR01NS109062 · NINDS · YALE UNIVERSITY · PI EID, TORE, ZAVERI, HITTEN P · 2019 to 2022
$1.5M
NIH HHS R01 NS109062NINDS NIH HHS R01 NS109062Swebilius Foundation
6 · The paper itself

Abstract

objectiveWe created composite maps of language function from extraoperative stimulation literature and transformed them to the Yale Brain Atlas (YBA), which offers precise cortical localization with 690 one cm

methodsA systematic search of DCS studies of language-related functions identified 12 stimulation studies (10 subdural, two stereo-EEG) that provided sufficiently clear surface visualizations for parcel-level mapping. Language-positive sites from six commonly tested functions (visual naming, auditory naming, naming (auditory/visual), reading, repetition and speech arrest) were manually co-registered to YBA parcels using conserved anatomical landmarks, facilitating topological comparison among similar language functions from the literature, Yale's electrical stimulation mapping cohort, and Neurosynth and Parcelsynth fMRI activation.

resultsAcross 1182 patients, 176 YBA parcels (approximately 25% of cortical parcels) were implicated in at least one language task. Composite stimulation maps demonstrated robust consistency with the Yale DCS cohort and substantial overlap with distributed fMRI language networks. The resulting interactive maps provide parcel-level specificity while highlighting under-sampled but functionally critical regions. SIGNIFICANCE: The maps provide a review of language function determined through DCS and meta-analytic repositories of fMRI activation data. By consolidating stimulation-derived language data into a high-resolution parcellated atlas, this work offers a spatially detailed surface-based representation of language boundaries for surgical planning. The YBA facilitates standardized multimodal communication and allows patient-specific stimulation results to be interpreted within population-derived functional boundaries.

Indexed as

Atlases as TopicBrainBrain MappingDrug Resistant EpilepsyEpilepsyLanguageAdultElectrocorticographyElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleYoung Adultbrain mappingelectrical stimulationintracranial EEGlanguageNeurosynthSEEG

Identifiers

PMID41931039
PMCPMC13271081

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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.