Evidence map›Paper›PMID 42330988›Full record

ArticleJournal of neural engineering2026

The seizure embedding map: a spatio-temporal transformer for comparing patients by ictal intracranial EEG features at scale.

Akash R Pattnaik, Zhongchuan Xu, William K S Ojemann, Carlos A Aguila, Alfredo Lucas, Sarah Lavelle, Zack Goldblum, Peter D Galer, Ryan Gallagher, Kathryn A Davis and 3 more

Abstract readComparative Study
In one paragraph

Article in Journal of neural engineering, 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

5 · Who and what money

Authors and funding

13 authors.

Akash R PattnaikDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0002-2474-1685
Zhongchuan XuDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0009-0009-5965-0802
William K S OjemannDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0009-0007-5166-536X
Carlos A AguilaDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0009-0003-9460-3549
Alfredo LucasDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Sarah LavelleCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Zack GoldblumDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0003-2803-7051
Peter D GalerDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Ryan GallagherCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Kathryn A DavisCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Nishant SinhaCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Erin C ConradCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Brian LittDepartment of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States of America.

Funding

Ghost in the Machine: Melding Brain, Computer and BehaviorDP1NS122038 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2020 to 2024
$5.7M
Guiding epilepsy surgery using network models and Stereo EEGR01NS125137 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2022 to 2025
$2.8M
Development of multimodal network analyses to improve epilepsy surgery outcomesR01NS134625 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Dario J Englot · 2024 to 2026
$2.0M
Quantitative interictal networks to localize seizure generatorsK23NS121401 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Erin Conrad · 2022 to 2026
$1.2M
Scalable methods to quantify epileptic network and guide epilepsy surgeryK99NS138680 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SINHA, NISHANT · 2024 to 2025
$298k
NINDS NIH HHS DP1 NS122038NINDS NIH HHS K23 NS121401NINDS NIH HHS K99 NS138680NINDS NIH HHS R01 NS125137NINDS NIH HHS R01 NS134625
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Drug Resistant EpilepsyElectrocorticographySeizuresBrain MappingElectrodes, ImplantedFemaleHumansMaleSpatio-Temporal Analysisdrug-resistant epilepsyepilepsy surgery planningintracranial EEGquantitative electrophysiologyrepresentation learningself-supervised learningspatiotemporal transformer

Identifiers

PMID42330988
PMCPMC13351835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.