Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Resting-state M/EEG analysis requires careful epoch selection.
• The impact of epoch selection methods and documentation on reproducibility is understudied.
• Current manual epoch selection is often subjective and poorly documented.

Purpose of the Study:

• To present Scorepochs, a novel, free tool for automated resting-state M/EEG epoch scoring.
• To provide an objective aid for M/EEG experts in epoch selection.
• To enhance the reproducibility of M/EEG resting-state studies.

Main Methods:

• Development of Scorepochs, a freely available software tool.
• Application of Scorepochs for automatic scoring of resting-state M/EEG epochs.
• Validation on a public EEG dataset with 109 subjects and 64-channel BCI2000 system.

Main Results:

• Scorepochs offers a simple and objective approach to epoch scoring.
• The tool was successfully tested on a large, publicly available dataset.
• Demonstrated potential for improving consistency in M/EEG data processing.

Conclusions:

• Scorepochs can significantly aid researchers in objective M/EEG epoch selection.
• The tool promotes reproducibility in resting-state M/EEG analyses.
• Automated epoch scoring addresses a critical gap in current M/EEG research practices.