Course Overview:

This course provides a comprehensive overview of EEG (Electroencephalography) techniques, offering a structured framework for teaching advanced EEG techniques and analysis, covering theoretical concepts, practical skills, and hands-on experience with EEG data processing and interpretation using EEGLAB software. Through lectures and hands-on practical sessions students will gain a deep understanding and confidence of EEG methodology and its applications in cognitive and affective neuroscience research. Adjustments can be made based on the specific needs and interests of the students and the instructor's expertise.

Course Objectives:

• Understand the theoretical foundations of EEG methodology.

• Gain practical skills in EEG data preprocessing and analysis.

• Learn to use EEGLAB software for EEG data processing and analysis.

• Interpret EEG results in the context of cognitive and affective neuroscience research.

Course Outline:

Day 1 (2h): Introduction to EEG

• Overview of EEG methodology and its applications.

Day 2-3 (2h each): EEG Data Preprocessing

• Introduction to EEG preprocessing pipelines on EEGLAB software.

• Artifact rejection and correction methods in EEGLAB.

• Applying Independent Component Analysis (ICA) for artifact removal.

• Customizing preprocessing pipelines and scripting in EEGLAB.

Day 4-5 (2h each): EEG Analysis Techniques

• Time-domain analysis: ERP (Event-Related Potentials) extraction and averaging.

• Frequency-domain analysis using FieldTrip software.

• MVP analysis using CoSMoMVPA software.

Day 6 (2h): Interpretation and Reporting of EEG Results

• Principles of EEG result interpretation in cognitive and affective neuroscience.

• Reporting EEG findings: data visualization, statistical analysis, and result interpretation.

• Ethical considerations and challenges in EEG research.