In one paragraphArticle 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
8 authors.
Maria Isabel Cano AchuriDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, United States of America.ORCID 0000-0002-5855-4271 Montana Kay LaraDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States of America.ORCID 0000-0001-5810-4425 Khalil Abed RabboNeuroscience Program, University of Vermont, Burlington, VT, United States of America.ORCID 0009-0000-9543-8707 Benjamin T WilsonUniversity of Vermont, Burlington, VT, United States of America.
Austin MeekDepartment of Computer and Information Sciences, University of Delaware, Newark, DE, United States of America.ORCID 0009-0006-9478-461X J Matthew MahoneyDepartment of Neurological Sciences, University of Vermont, Burlington, VT, United States of America.ORCID 0000-0003-1425-5939 Amanda E HernanDepartment of Neurological Sciences, University of Vermont, Burlington, VT, United States of America.ORCID 0000-0003-4931-3481 Austin J BrockmeierDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, United States of America.ORCID 0000-0002-7293-8140 Funding
Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Gregory E Hicks · 2013 to 2026
$60.5MLeveraging genetically-encoded heterogeneity to understand TANDs and seizures in novel models of TSCR01NS134491 · NINDS · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI Amanda Hernan · 2024 to 2026
$1.0MMechanisms for Improving Cognitive Outcome in Pediatric Epilepsy with ACTHK22NS104230 · NINDS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HERNAN, AMANDA · 2017 to 2022
$962kNIGMS NIH HHS U54 GM104941NINDS NIH HHS K22 NS104230NINDS NIH HHS R01 NS134491
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Disease Models, AnimalElectroencephalographyNervous System DiseasesAnimalsBiomarkersClassification AlgorithmsEpilepsyMachine LearningMaleMiceMice, Inbred C57BLMice, KnockoutPredictive Learning ModelsTuberous Sclerosis Complex 1 ProteinBiomarkersTuberous Sclerosis Complex 1 Proteinbiomarkersdictionary learningEEGepilepsymachine learningsparse codingtuberous sclerosis complex
Identifiers
PMID41780177
PMCPMC13093256
What OpenQuestion holds
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