Here are three tutorials on common methods, challenges and pitfalls in the analysis of EEG for those who missed the symposium last year covering issues around spectral analysis, signal filtering, referencing, connectivity measures and experimental design.
1) Spectral Analysis and Filtering EEG: Ways to Go Wrong
presented by Dr. Narayan Subramaniyam
This talk covers basic theory of spectral analysis and filtering including the assumptions used in common algorithms and common pitfalls of implementation and interpretation.
2) Challenges of Methodological Variability and Experimental Design
Presented by Dr. Jennifer Newson
This talk covers various aspects of methodological variability in the EEG literature such as use of different references and frequency band definitions and the consequent challenges of interpretation. It also covers aspects of proper controls in experimental design.
Resources related to this talk
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- State of Mind Session Form: https://sapienlabs.co/
wp-content/uploads/2017/06/ Session-Form.pdf - Subject Information Form: https://sapienlabs.co/
wp-content/uploads/2017/06/ Subject-Form.pdf
- State of Mind Session Form: https://sapienlabs.co/
3) Common Connectivity Measures and Their Challenges and Pitfalls
presented by Dr. Andres Bastos
This talk offers a basic tutorial of implementing common connectivity measures in the EEG along with resources and tools.
Resources related to this talk
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- Field Drive Toolbox: http://www.
fieldtriptoolbox.org/download/ - Dr. Bastos’s companion paper: https://www.
frontiersin.org/articles/10. 3389/fnsys.2015.00175/full - MATLAB files:
sim_simplesystem.m
sim_signaltonoise.m
- Field Drive Toolbox: http://www.
