MEPFeatX
MEPFeatX automates comprehensive motor-evoked potential (MEP) feature extraction across diverse transcranial magnetic stimulation (TMS) stimulation paradigms.
Key Features:
- Automated MEP Feature Extraction: Extracts MEP features automatically to reduce time consumption and human error associated with manual processing of large datasets.
- Comprehensive Feature Set: Captures frequently neglected features including MEP polyphasia and MEP duration alongside standard measures.
- Multi-Paradigm Support: Supports a wide range of TMS stimulation paradigms with primed templates for specific paradigms.
- Cross-Platform Analysis: Core functionality implemented in MATLAB with additional analysis coded in R language.
- Visual Outputs: Generates visuals of MEP features to facilitate analysis interpretation.
Scientific Applications:
- Neuronal Excitability Assessment: Supports clinical diagnostics related to motor function through quantitative MEP analysis.
- Neuroscience Research: Enables reliable MEP analysis for studies investigating corticospinal excitability and motor system physiology.
Methodology:
MEPFeatX is implemented as a MATLAB package with verified algorithms for automated feature extraction; additional analysis components are coded in R language.
Topics
Details
- Programming Languages:
- MATLAB, R
- Added:
- 2/22/2026
- Last Updated:
- 2/22/2026