Evidence map›Paper›PMID 42348804›Full record

Observational studyNeurology2026

A Probabilistic Approach to Functional Organization Based on Extraoperative Electrocortical Stimulation Mapping.

Andrew J Michalak, Leyao Yu, Amirhossein Khalilian-Gourtani, Alia Seedat, Cassandra Kazl, Chris Morrison, Zachary Resch, Werner Doyle, Peter A Rozman, Orrin Devinsky and 3 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Andrew J MichalakEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.ORCID 0000-0002-7401-8364
Leyao YuEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.ORCID 0009-0003-8998-1545
Amirhossein Khalilian-GourtaniEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.
Alia SeedatEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.ORCID 0009-0005-5119-9966
Cassandra KazlEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.
Chris MorrisonEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.
Zachary ReschEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.
Werner DoyleDepartment of Neurosurgery, New York University Grossman School of Medicine.
Peter A RozmanDepartment of Neurosurgery, New York University Grossman School of Medicine.
Orrin DevinskyEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.ORCID 0000-0003-0044-4632
Patricia C DuganEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.ORCID 0000-0001-6199-1870
Daniel FriedmanEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.ORCID 0000-0003-1068-1797
Adeen FlinkerEpilepsy Division, Department of Neurology, New York University Grossman School of Medicine.ORCID 0000-0003-1247-1283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesDirect electrocortical stimulation (DES) is the gold standard for mapping eloquent cortex, yet existing functional atlases are limited by sampling biases and density-based methods that obscure a region's true functional probability. Consequently, interpatient variability and the functional contributions of nontraditional language areas, such as the middle frontal gyrus, remain poorly characterized, particularly in epilepsy populations where functional reorganization is common. We therefore developed a probabilistic functional atlas of extraoperative DES and applied data-driven methods to characterize the functional organization of language, motor, and sensory cortex.

methodsThis was a retrospective observational study of patients undergoing intracranial monitoring for drug-resistant epilepsy (2008-2023). Electrical stimulation was delivered to intracranial electrodes during language tasks, and language, motor, and sensory findings were recorded. Positive and negative stimulation sites were analyzed in standard patient space and using the Human Connectome Project parcellation atlas. A multilevel statistical framework, including probability mapping, bootstrapped region-of-interest analyses, and kernel density estimation, defined structure-function relationships. Generalized linear mixed-effects models assessed the influence of clinical variables on language disruption.

resultsWe analyzed 2,124 trials from 125 patients (mean age 30 years; 47% female). Instead of eloquent functions clustering into discrete canonical regions, they were distributed throughout the cortex along probabilistic continua. Language disruption demonstrated high interpatient variability with the middle frontal gyrus emerging as a high probability area for naming and speech arrest. Motor responses were not confined to the precentral gyrus but frequently extended into parietal association cortex. Clinically, early seizure onset ( DISCUSSION: This extraoperative DES atlas provides a comprehensive benchmark for understanding functional cortical organization in epilepsy. We add evidence to the growing literature that language and motor systems are more distributed and variable than classically described. Substantial interpatient variability underscores the necessity of individualized mapping to guide safe neurosurgical planning. Limitations include the retrospective design and sampling bias inherent to electrode placement.

Indexed as

Brain MappingCerebral CortexDrug Resistant EpilepsyAdolescentAdultElectric StimulationElectrocorticographyFemaleHumansLanguageMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

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Registered trials

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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.