Evidence map›Paper›PMID 42440465›Full record

ArticleClinical neurophysiology practice2026

EStiMapp: A practical tool for mapping clinical symptoms evoked by electrical stimulation in intracranial EEG for epilepsy surgery.

Irene B Heijink, Susanne B Jelsma, Sandra M A van der Salm, Nicole E C van Klink, Cyrille H Ferrier, Sem Hoogteijling, Charlotte J J van Asch, Dorien van Blooijs, Maeike Zijlmans, RESPect database group

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Article in Clinical neurophysiology practice, 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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1 · What the graph read from it

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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

10 authors.

Irene B HeijinkDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
Susanne B JelsmaDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
Sandra M A van der SalmDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
Nicole E C van KlinkDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
Cyrille H FerrierDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
Sem HoogteijlingDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
Charlotte J J van AschStichting Epilepsie Instellingen Nederland (SEIN), P.O. box 540, 2130, AM, Hoofddorp, the Netherlands.
Dorien van BlooijsDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
Maeike ZijlmansDepartment of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Full Member of European Reference Network EpiCARE, P.O. box 85500, 3508, GA, Utrecht, the Netherlands.
RESPect database group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Electrical stimulation of intracranial electrodes can map the patient's specific functional regions and seizure related symptoms. In our clinical practice, evoked functional symptoms and electrographic responses are manually annotated and visualized in a schematic electrode overview: an error-prone and time-consuming process. We here present an open-source graphical user interface (GUI) that standardizes the workflow and automatizes the visualization of intracranial EEG (iEEG) electrical stimulation results. Methods: We defined categories of evoked clinical symptoms based on a literature study and consensus session. A co-design team participated in brainstorm sessions to set the requirements of the GUI. We built the GUI and tested its usability with qualitative and quantitative assessments (System Usability Scales (SUS) questionnaires). Results: The workflow included standardized annotation of categories of evoked clinical symptoms in the iEEG software. The GUI visualized these evoked clinical symptoms in a 2D schematic overview, a 3D visualization of the brain with locations of evoked symptoms, and showed additional annotations per stimulated electrodes in a table. A mean SUS score of 82.3 (SD 9.2) was reached, which is considered excellent. Conclusions: We present an in-house developed workflow and graphical user interface (GUI) to categorize and directly visualize evoked clinical symptoms resulting from electrical stimulation on intracranial electrodes. Significance: Our open-source GUI facilitates standardization of the intracranial stimulation workflow and directly enables straightforward and uniform interpretation of evoked clinical symptoms.

Indexed as

Clinical symptomsCo-designElectrical stimulationEvoked symptomsFocal epilepsyGraphical user interfaceIntracranial EEG

Identifiers

PMID42440465
PMCPMC13333301

What Socratic holds

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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 Socratic graph.