MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation
Motor evoked potentials (MEPs) are an important measure in transcranial magnetic stimulation (TMS) when assessing neuronal excitability in clinical diagnostics related to motor function, as well as in neuroscience research. However, manual feature extraction from large datasets can be time-consuming...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2024.1415257/full |
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| author | Dao T. A. Nguyen Dao T. A. Nguyen Laura Säisänen Laura Säisänen Elisa Kallioniemi Pasi A. Karjalainen Saara M. Rissanen Petro Julkunen Petro Julkunen |
| author_facet | Dao T. A. Nguyen Dao T. A. Nguyen Laura Säisänen Laura Säisänen Elisa Kallioniemi Pasi A. Karjalainen Saara M. Rissanen Petro Julkunen Petro Julkunen |
| author_sort | Dao T. A. Nguyen |
| collection | DOAJ |
| description | Motor evoked potentials (MEPs) are an important measure in transcranial magnetic stimulation (TMS) when assessing neuronal excitability in clinical diagnostics related to motor function, as well as in neuroscience research. However, manual feature extraction from large datasets can be time-consuming and prone to human error, and valuable features, such as MEP polyphasia and duration, are often neglected. Several packages have been developed to simplify the process; however, they are often tailored to specific studies or are not accessible. Here, we introduce MEPFeatX, a verified MATLAB package designed for automated and comprehensive MEP feature extraction across a wide range of stimulation paradigms. MEPFeatX is designed and documented for easy integration into any MEP analysis pipeline. Primed templates for specific paradigms, as well as additional analysis coded in R language, are also provided. Thus, MEPFeatX provides its users with a comprehensive and accurate set of MEP features, along with their visuals, facilitating quick and reliable MEP analysis in TMS studies. |
| format | Article |
| id | doaj-art-b542c08416814b94988bb70edbd83ff7 |
| institution | Kabale University |
| issn | 1662-453X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj-art-b542c08416814b94988bb70edbd83ff72025-01-14T06:10:40ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2025-01-011810.3389/fnins.2024.14152571415257MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulationDao T. A. Nguyen0Dao T. A. Nguyen1Laura Säisänen2Laura Säisänen3Elisa Kallioniemi4Pasi A. Karjalainen5Saara M. Rissanen6Petro Julkunen7Petro Julkunen8Department of Technical Physics, University of Eastern Finland, Kuopio, FinlandDepartment of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, FinlandDepartment of Technical Physics, University of Eastern Finland, Kuopio, FinlandDepartment of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, FinlandDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United StatesDepartment of Technical Physics, University of Eastern Finland, Kuopio, FinlandDepartment of Technical Physics, University of Eastern Finland, Kuopio, FinlandDepartment of Technical Physics, University of Eastern Finland, Kuopio, FinlandDepartment of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, FinlandMotor evoked potentials (MEPs) are an important measure in transcranial magnetic stimulation (TMS) when assessing neuronal excitability in clinical diagnostics related to motor function, as well as in neuroscience research. However, manual feature extraction from large datasets can be time-consuming and prone to human error, and valuable features, such as MEP polyphasia and duration, are often neglected. Several packages have been developed to simplify the process; however, they are often tailored to specific studies or are not accessible. Here, we introduce MEPFeatX, a verified MATLAB package designed for automated and comprehensive MEP feature extraction across a wide range of stimulation paradigms. MEPFeatX is designed and documented for easy integration into any MEP analysis pipeline. Primed templates for specific paradigms, as well as additional analysis coded in R language, are also provided. Thus, MEPFeatX provides its users with a comprehensive and accurate set of MEP features, along with their visuals, facilitating quick and reliable MEP analysis in TMS studies.https://www.frontiersin.org/articles/10.3389/fnins.2024.1415257/fullfeature extractionmotor evoked potentialautomated analysestranscranial magnetic stimulationmotor function |
| spellingShingle | Dao T. A. Nguyen Dao T. A. Nguyen Laura Säisänen Laura Säisänen Elisa Kallioniemi Pasi A. Karjalainen Saara M. Rissanen Petro Julkunen Petro Julkunen MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation Frontiers in Neuroscience feature extraction motor evoked potential automated analyses transcranial magnetic stimulation motor function |
| title | MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation |
| title_full | MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation |
| title_fullStr | MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation |
| title_full_unstemmed | MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation |
| title_short | MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation |
| title_sort | mepfeatx automated feature extraction of motor evoked potentials in transcranial magnetic stimulation |
| topic | feature extraction motor evoked potential automated analyses transcranial magnetic stimulation motor function |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2024.1415257/full |
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