Hello Brainstorm Community,
I'm relatively new to systematically analyzing EEG and EMG data, and currently working on an EEG-EMG coherence (CMC) analysis project for the first time. My experiment involves simultaneously recorded EEG and EMG signals during different types of isometric contraction motor tasks. Due to confidentiality constraints associated with our ongoing research, I'm unfortunately unable to share detailed experimental design or exact hypotheses at this stage.
However, I would greatly appreciate your input and advice on the following methodological and analytical questions:
- Data preprocessing recommendations:
- What are the best practices for EEG-EMG preprocessing steps specifically for CMC analysis in Brainstorm?
- Should EMG signals be rectified or left unrectified when performing coherence analysis? (I've found mixed advice in literature.)
- CMC analysis details:
- How to accurately compute and statistically interpret EEG-EMG coherence in Brainstorm?
- What frequency bands (e.g., beta, gamma) are typically recommended for analyzing EEG-EMG coherence, and what considerations should I keep in mind when defining them?
- Technical advice for Brainstorm software:
- Are there any specific pipelines or tutorials available in Brainstorm documentation or the community that you particularly recommend for EEG-EMG coherence analysis?
- Common pitfalls or challenges in EEG-EMG coherence analysis that beginners should watch out for?
I would sincerely appreciate your insights, tips, or pointing me toward relevant resources or examples in Brainstorm. Please let me know if additional (non-sensitive) technical details are needed for clarity.
Thank you very much for your time and help!