EEG data analysis workshop
REMOTE SESSION
Day 1
- EEG analysis strategie’s (event locked and block design)
- Pipeline of a EEG analysis
- Evoked vs induced potentials
- How ERPs are generated in the brain
- Components of ERPs (N100, P100, N100, P300)
- Latency in ERPs
- Averaging techniques
- Endogenous vs exogenous artifacts
- Reduction of artifacts during acquisition
- Artifact attenuation vs. artifact removal
- Thresholding
- Detection based on statistics
- Waveform rejection
- Segment elimination
- Spatial filtering (re-referencing)
- Frequency filtering
- Independent Component Analysis
- Wavelet de-noising
- Regression Modeling
Analysis aproaches based on experimental design paradigms
Artifacts in EEG data
Artifact attenuation techniques
Artifact rejection techniques
Day 2: EEG analysis techniques
- Data segmentation
- Baseline correction
- Trial-based averaging - ERP
- Measurements for ERP analysis (Amplitude per trial, average amplitude, latency, peak detection)
- Grand average
- Connectivity analysis (coherence, PLV)
- Data export for statistical analysis
- Insights on statistical analysis
- Data segmentation
- FFT vs Wavelet analysis
- Power analysis in specific frequency bands
- Extraction of temporal and spatial features (e.g., power in specific frequency bands such as alpha, beta, gamma)
- Connectivity analysis (coherence, PLV)
- Data export for statistical analysis
- Insights on statistical analysis
ERP
Block paradigm
For any doubt or questions do not hesitate to contact us !
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