Evidence map›Paper›PMID 41306409›Full record

ArticleTranscranial magnetic stimulation (2024)2025

Reliability of Motor Evoked Potential Identification in Pediatric Populations.

Cameron P Casey, Hung-Shao Cheng, Kellie M Collins, Ellen N Sutter, Abrar Majeedi, Arun Karumattu Manattu, Samuel T Nemanich, Ryan M McAdams, Bernadette T Gillick

Abstract read
In one paragraph

Article in Transcranial magnetic stimulation (2024), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Cameron P CaseyWaisman Center, University of Wisconsin-Madison.
Hung-Shao ChengWaisman Center, University of Wisconsin-Madison.
Kellie M CollinsWaisman Center, University of Wisconsin-Madison.
Ellen N SutterWaisman Center, University of Wisconsin-Madison.
Abrar MajeediDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison.
Arun Karumattu ManattuWaisman Center, University of Wisconsin-Madison.
Samuel T NemanichDepartment of Occupational Therapy, Marquette University.
Ryan M McAdamsDepartment of Pediatrics, University of Wisconsin-Madison.
Bernadette T GillickWaisman Center, University of Wisconsin-Madison.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Techniques DevelopmentP2CHD086844 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI THOMPSON, AIKO · 2015 to 2024
$12.7M
Waisman Center Intellectual and Developmental Disabilities Research CenterP50HD105353 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Qiang Chang · 2021 to 2026
$8.5M
NRSA Training CoreTL1TR002375 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Vivek Prabhakaran · 2017 to 2026
$8.4M
Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI POLLAK, SETH D · 2016 to 2020
$6.0M
Perinatal Stroke: Longitudinal Assessment of Infant Brain Organization and Recovery through Neuroexcitability, Neuroimaging and Motor DevelopmentR01HD098202 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI GILLICK, BERNADETTE THERESE · 2020 to 2025
$2.9M
Upper Midwest StrokeNet Regional Coordinating Center (RCC)U24NS107269 · NINDS · UNIVERSITY OF MINNESOTA · PI KAMAKSHI LAKSHMINARAYAN, Christopher Streib · 2018 to 2026
$2.8M
High Performance Gradient System for Advanced Neuroimaging ResearchS10OD030415 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI ALEXANDER, ANDREW L · 2021 to 2021
$2.0M
Novel Neuromodulatory Intervention in the Rehabilitation of Pediatric HemiparesisK01HD078484 · NICHD · UNIVERSITY OF MINNESOTA · PI GILLICK, BERNADETTE THERESE · 2014 to 2018
$654k
NCATS NIH HHS TL1 TR002375NCATS NIH HHS UL1 TR002373NICHD NIH HHS K01 HD078484NICHD NIH HHS P2C HD086844NICHD NIH HHS P50 HD105353NICHD NIH HHS R01 HD098202NICHD NIH HHS U54 HD090256NIH HHS S10 OD030415NINDS NIH HHS U24 NS107269
6 · The paper itself

Abstract

Background: Motor evoked potentials (MEPs) elicited through transcranial magnetic stimulation (TMS) may provide valuable insights into neuromotor development in pediatric populations. However, the reliability of identifying MEPs using rater-based approaches, particularly in infants, remains poorly defined. This study addresses this gap by evaluating interrater reliability (IRR) and consensus rates for MEP identification in adolescents and infants. Methods: Three experienced TMS researchers independently scored 5,738 electromyography (EMG) trials from 18 adolescents and 5,086 trials from 20 infants using a 5-point confidence scale. Scores reflected the raters' confidence in MEP presence, guided by predefined electrophysiological criteria. IRR, measured by intraclass correlation coefficients (ICC), and scoring consensus were compared across age groups, and signal characteristics were analyzed to identify predictors of disagreement. Results: IRR for adolescent MEP scores was excellent, ICC(C,3) = 0.973, 95% confidence interval (CI) [0.972, 0.974], while infant MEPs showed good IRR, ICC(C,3) = 0.784, 95% CI [0.773, 0.794]. Consensus rates were significantly lower for infant data (76.8%) compared to adolescent data (89.1%) (p < 0.001). Greater baseline EMG variability and lower post-stimulation peak-to-peak amplitudes were strongly associated with reduced consensus (p < 0.001 for both). Conclusions: MEP identification using a rater-based scoring protocol is feasible in pediatric cohorts but presents greater challenges in infants due to distinct neurophysiological and behavioral factors. Despite these difficulties, good reliability can still be achieved when multiple trained raters independently score EMG trials. These findings support the need for consensus-driven best practices to guide MEP identification in early developmental research.

Identifiers

PMID41306409
PMCPMC12646630

What OpenQuestion holds

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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.