Brain Research Bulletin / Brain complexity in motion : multiscale entropy analysis on mobile EEG data to assess motor performance / Daghan Piskin, Gjergji Cobani, Daniel Büchel, Tim Lehmann, Jochen Baumeister. In: Brain Research Bulletin. Paderborn : Universitätsbibliothek, 2026
Inhalt
- 2.1 Participants
- 2.2 Experimental procedures
- 2.3 EEG recording and preprocessing
- 2.4 Computation of multiscale entropy estimates on preprocessed EEG data
- 2.5 Statistical approaches for reliability, validity, and classification accuracy
- 3 Results
- 3.1 Accuracy performance
- 3.2 Test-retest reliability of multiscale entropy estimates
- 3.3 Differences in entropy estimates between expertise levels and their correlation with accuracy
- 3.4 Classification performance of entropy estimates in differentiating expertise levels
- 4 Discussion
- 4.1 Test-retest reliability of entropy estimates as a task-related complexity measure
- 4.2 The validity of entropy estimates in revealing dynamics between cortical complexity and motor performance
- 4.3 The classification performance of entropy estimates to differentiate expertise levels
- 4.4 Methodological limitations and recommendations for future implementation of MSE analysis in mobile settings
- 5 Conclusion
- CRediT authorship contribution statement
- Ethics
- Funding
- Declaration of Competing Interest
- Acknowledgements
- Appendix A Supporting information
- References
