Related Experiment Video
Updated: Apr 27, 2026
Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
Published on: March 19, 2021
Reliability of fully automated versus visually controlled pre- and post-processing of resting-state EEG
F Hatz1, M Hardmeier1, H Bousleiman2
1Department of Neurology, Hospital of the University of Basel, Switzerland.
Objective:
To compare the reliability of a newly developed Matlab® toolbox for the fully automated, pre- and post-processing of resting state EEG (automated analysis, AA) with the reliability of analysis involving visually controlled pre- and post-processing (VA).
Methods:
34 healthy volunteers (age: median 38.2 (20-49), 82% female) had three consecutive 256-channel resting-state EEG at one year intervals. Results of frequency analysis of AA and VA were compared with Pearson correlation coefficients, and reliability over time was assessed with intraclass correlation coefficients (ICC).
Results:
Mean correlation coefficient between AA and VA was 0.94±0.07, mean ICC for AA 0.83±0.05 and for VA 0.84±0.07.
Conclusion:
AA and VA yield very similar results for spectral EEG analysis and are equally reliable. AA is less time-consuming, completely standardized, and independent of raters and their training.
Significance:
Automated processing of EEG facilitates workflow in quantitative EEG analysis.
