Juri Kropotov & Jay Gunkleman

Day 1:  Morning

Topics:

• Mechanisms of the generation of EEG rhythms
• Background EEG as reflection of cortical selfregulation
• What does clinical EEG mean?
• Pathological EEG patterns (slow waves, spikes, paroxysms...) in epilepsy, brain tumors, and some other brain disorders
• Mapping potentials
• Making Low Resolution Electromagnetic Tomography (LORETA and s-LORETA) from the potential maps.

Educational objective:

Understand the foundations of clinical EEG, namely:

• neuronal basics of brain rhythms generation
• methods of recording and montaging
• distinguish non-EEG artifacts from EEG records,
• correct for artifacts using various approaches available by means of software Tools.
• distinguish pathological EEG patterns by means of visual inspection as well as by means of automated Tools.
• use brain maps and s-LORETA imaging for depicting the data.

Procedure:

Lectures (Power Point presentations)

Practice with EEG records of healthy subjects and patients from the HBI database (software and EEG files are supplied).

Day 1:  Afternoon

Topics:

• Recording an EEG in resting state (eyes open, eyes closed, hyperventilation)
• Visual inspection of the EEG recording
• Artifact correction
• Automated spike detection

Educational objective:

1. to place electrodes on the patients´ head according to 10-20 system
2. to start, to end and to store an EEG recording
3. to be able to use the built-in user database to manage the datasets
4. to re-montage the recording.

Procedure:

The attendees will be divided into groups. Each group will be supplied with hardware/software for recording and analysis. One of the attendees will serve as a subject (to be recorded) while the others will prepare the subject and record the EEG

Day 2:  Morning

Topics:

• Quantitative EEG as a method for neuro-metrics
• QEEG-endophenotypes (biological markers) in healthy population
• QEEG-endophenotypes in brain disorders

Educational objective:

Methods of spectral analysis, including

1. Fourier and wavelet transformations
2. coherence
3. event related de-synchronization
4. show how these methods enable us to reveal QEEG-endophenotypes of brain disorders such as ADHD, dyslexia, anxiety.

Procedure: Lecture, practicing with EEG records of healthy subjects and of patients from the HBI database.

Day 2:  Afternoon

Topics:

• Spectral and coherence analysis of EEG recorded on the first day
• Comparing spectral characteristics of recorded EEG with the normative data of the HBI reference database.

Educational objective:

1. to re-montage the recording into the HBI database montage
2. to perform spectral and coherence analysis
3. to compare the results of the analysis with the HBI database
4. to make interpretations of the results.

Procedure: The attendees will be divided into groups.

Each group will be supplied with software for analysis.

The analysis of EEG of the subjects recorded on the first day will be done. Spectra, coherence, theta/beta ratios, asymmetry maps for EEGs recorded on the first day will be computed and analyzed.