Evidence map›Paper›PMID 42095829›Full record

ArticleEpilepsia2026

The International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) Portal: An open source resource for neuropsychological research in epilepsy.

Robyn M Busch, Tobias Brünger, Kayela Arrotta, Lisa Ferguson, Julie K Janecek, Sara J Swanson, Anny Reyes, Brook Hurd, Mark St John, Carrie R McDonald and 2 more

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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

12 authors.

Robyn M BuschEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-5442-4912
Tobias BrüngerDepartment of Neurology, The University of Texas Health Science Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-2591-432X
Kayela ArrottaEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-6482-4795
Lisa FergusonEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0003-3577-2257
Julie K JanecekDepartment of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.ORCID https://orcid.org/0000-0002-5188-9415
Sara J SwansonDepartment of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.ORCID https://orcid.org/0009-0000-4861-7913
Anny ReyesEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0003-0625-6990
Brook HurdEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0009-0007-1509-1434
Mark St JohnEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0009-0006-8369-5363
Carrie R McDonaldDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, California, USA.ORCID https://orcid.org/0000-0002-0721-5640
Bruce P HermannDepartment of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-0133-4427
Dennis LalDepartment of Neurology, The University of Texas Health Science Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-5173-9636

Funding

American Epilepsy Society 1153665
6 · The paper itself

Abstract

objectiveThe International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) is a consensus-based, empirically-driven approach to standardize cognitive phenotyping in epilepsy research that has quickly garnered interest within the epilepsy community. However, manually generating IC-CoDE phenotypes in group data is laborious and time-consuming, particularly in datasets containing heterogenous cognitive measures or batteries, limiting the widespread adoption of IC-CoDE phenotypes to further multicenter epilepsy research.

methodsTo remove this barrier, we developed the IC-CoDE Portal (https://ic-code-portal.ccf.org/), an interactive and user-friendly, web-based platform to support the scientific community in performing IC-CoDE individual level classification through web interface or bulk classification through uploading of data files. The Portal also allows the user to generate and visualize cohort summary statistics of cognitive phenotypes in their dataset, with the option of filtering the data interactively by specified demographic or clinical variables of interest. We further made the resulting IC-CoDE phenotypes downloadable as a spreadsheet to foster offline analysis of cognitive data by members of the epilepsy research community. SIGNIFICANCE: Ascertainment of cognitive profiles is key to understanding the natural heterogeneity in the clinical presentation of the epilepsies and their comorbidities. The IC-CoDE taxonomy can be applied to any comprehensive neuropsychological battery, regardless of the specific test measures and normative data used or the language and culture in which the assessment took place, making it an ideal tool to accelerate international multi-center studies on cognition in epilepsy. We hope that by eliminating some of the barriers associated with cognitive phenotyping, the IC-CoDE Portal will springboard large-scale collaborative efforts to further our understanding of the neuropsychology of the epilepsies.

Indexed as

Cognition DisordersEpilepsyHumansInternational Classification of DiseasesInternetNeuropsychological TestsPhenotypecognitive phenotypesdiagnosticsepilepsyharmonizationIC‐CoDEneuropsychology

Identifiers

PMID42095829
PMCPMC13525601

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.