Reliability of Motor Evoked Potential Identification in Pediatric Populations
Cameron P Casey1, Hung-Shao Cheng1, Kellie M Collins1
1Waisman Center, University of Wisconsin-Madison.
Summary
Identifying motor evoked potentials (MEPs) via transcranial magnetic stimulation (TMS) is reliable in adolescents but challenging in infants. Consensus-based scoring improves reliability for pediatric neuromotor research.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Biomedical Engineering
Background:
- Transcranial magnetic stimulation (TMS) elicits motor evoked potentials (MEPs) for assessing neuromotor development.
- Reliability of rater-based MEP identification in pediatric populations, especially infants, is not well-established.
- This study evaluates interrater reliability (IRR) and consensus for MEP identification in adolescents and infants.
Purpose of the Study:
- To assess the interrater reliability (IRR) of motor evoked potential (MEP) identification in pediatric populations.
- To compare MEP identification reliability between adolescents and infants.
- To identify factors influencing disagreement in MEP scoring.
Main Methods:
- Three experienced researchers independently scored electromyography (EMG) trials from adolescents and infants using a 5-point confidence scale.
- Interrater reliability (IRR) was calculated using intraclass correlation coefficients (ICC).
- Consensus rates and signal characteristics were analyzed to predict scoring disagreements.
Main Results:
- Excellent IRR for adolescent MEP scores (ICC=0.973) and good IRR for infant MEPs (ICC=0.784).
- Consensus rates were significantly lower for infants (76.8%) versus adolescents (89.1%).
- Higher baseline EMG variability and lower peak-to-peak amplitudes were linked to reduced consensus.
Conclusions:
- Rater-based MEP identification is feasible in pediatric cohorts but more challenging in infants.
- Good reliability is achievable in infants with multiple trained raters and consensus scoring.
- Findings support consensus-driven best practices for MEP identification in early developmental research.
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