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Standardized EEG for multi-site biomarker-informed trials: Implementation in the Canadian Biomarker Integration
Benjamin Schwartzmann1, Prabhjot Dhami1, Raaj Chatterjee1
1eBrain Lab, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, British Columbia, Canada.
Summary
Standardizing electroencephalography (EEG) practices across research sites is crucial for multi-site clinical trials. This study presents solutions to enhance EEG data quality and consistency for biomarker discovery in neuropsychiatric disorders.
Area of Science:
- Neuroscience
- Psychiatry
- Biomarker Research
Background:
- Depression and neuropsychiatric disorders require improved treatment strategies.
- Multi-site clinical trials are essential for advancing research but face challenges in data consistency.
- Electroencephalography (EEG) is a valuable tool for biomarker discovery, but standardization is lacking.
Purpose of the Study:
- To standardize electroencephalography (EEG) practices in multi-site research.
- To facilitate biomarker-informed clinical trials for depression and other neuropsychiatric disorders.
- To reduce variability in EEG data collection across research sites.
Main Methods:
- The Canadian Biomarker Integration Network in Depression (CAN-BIND) implemented standardization strategies.
- Focus on reducing variability in EEG data collection across participating sites.
- Development of novel automated EEG data cleaning and quality control toolboxes.
Main Results:
- Standardization solutions were implemented in infrastructure, procedures, and toolboxes.
- Two novel toolboxes were developed for automatic EEG data cleaning.
- Enhanced EEG data homogeneity and quality assurance prior to biomarker extraction.
Conclusions:
- Standardization of EEG procedures is vital for successful multi-site biomarker-informed clinical trials.
- The study provides comprehensive solutions applicable to collaborative neuroimaging research.
- Offers insights for improving EEG data quality and consistency in large-scale studies.
