Machine learning approaches to predict whether MEPs can be elicited via TMS
Although within a subject the prediction of MEPs via TMS setup parameter-based machine learning might be feasible, the limited accuracy between subjects suggests that the transfer of this approach to experimental or clinical research comes with significant challenges.
Authors
- Andreas Daffertshofer (ORCID: https://orcid.org/0000-0001-9107-3552)
- Sjoerd M. Bruijn (ORCID: https://orcid.org/0000-0003-0290-2131)
- Fang Jin (ORCID: https://orcid.org/0000-0003-2531-7664)
Institutions
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- Journal of Neuroscience Methods
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1016/j.jneumeth.2024.110242
- Citations
- 1
- Primary Topic
- Transcranial Magnetic Stimulation Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- China Scholarship Council