QEEG & ERP Online Intro course
2020, June 20./21.06. & 27./28.06.2020
Closing date for this course is: 2020 June 5th
Registrations received after the deadline cannot be considered! This course can not be cancelled
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Quantitative EEG (QEEG) and evoked, or event-related, potentials (ERPs) are valuable tools for supporting the diagnosis and targeted therapy of mental disorders. Learn how to use biomarkers to classify brain disorders and to enable a more personalized treatment. Learn about methods of neurotherapy for influencing brain disorders.
Make a more precise diagnosis and treat your patients more effectively!
After attending the course you will be able to: Our basic course gives an introduction to recording and analysis of a quantitative EEG (QEEG) as well as evoked potentials (ERP) and is intended for newcomers in these fields. Determine dysfunctions of the brain by means of brainmaps. During the extensive practicum you will have the opportunity to record and analyse your own EEGs and ERPs as well as analyse various clinical cases. We supply all equipment for working in groups of two persons.
Target Groups: Neurologists, psychiatrists, child- and adolescent psychiatrists, neuropsychologists, psychotherapists, MDs, pediatricians, occupational therapists, Neurofeedback therapists, school psychologists
- Neuronal basics of brain rhythm generation
- Methods of EEG recording and montaging
- Artifact correction
- Distinguishing pathological EEG patterns by means of visual inspection and automated tools
- QEEG biomarkers in healthy population and in brain disorders
- Recording of evoked potentials
- Association of ERP components with functioning of brain systems
- Supporting diagnosis of brain disorders with ERP biomarkers
- Introduction to methods of neurotherapy (Neurofeedback, tDCS)
- Making and interpreting reports
After attending the course you will be able to
At the end of the course you will be able to record and analyse QEEGs and ERPs by yourself and know how to make use of biomarkers in order to make a more precise diagnosis and to treat your patients more effectively.
This is what you will learn
Each day will consist of two parts, theory and practice:
- Morning: Lectures on theory, practicing with software on EEG files taken from the HBI reference database.
- Afternoon: Working with hardware/software, recording your own EEGs and analyzing EEG files recorded during the workshop.
For maximum learning efficiency, we strongly recommend to read the book “Quantitative EEG, event related potentials and neurotherapy” by Jury D. Kropotov prior to the course.
Equipment for Practicum
Attendees will be supplied with equipment for working in groups of two persons and with an educational software package and EEG files from the HBI (Human Brain Index) reference database. The hardware and the reference database are approved as medical devices.
The QEEG equipment, caps, electrodes, supplies, etc. will be supplied by us. If you already have compatible QEEG equipment, you are welcome to bring it along.
Short final exam
At the end of the course there will be a short multiple-choice-test.
After the course you will receive a HBImed certificate of completion/attendance.
Participants must have paid the tuition fee, signed in and out each day, attended the entire seminar and completed an evaluation, in order to receive a certificate of completion/attendance. All questionaries have to be returned completed.
Topics: Introduction and Methods of assessing neuromarkers
- Clinical EEG in epilepsy
- Event related potentials in clinical practice
- Independent component analysis
- Visualization methods: dipole approximations and Low Resolution Electromagnetic Tomography
Educational objective: Understand the foundations of methods for assessing neuromarkers in clinical practice, namely:
- Basic concepts of clinical EEG, QEEG and event related potentials.
- Methods of EEG recording and montaging
Procedure: Lecture (Power Point presentation is supplied)
- Recording a 19-cahnnel EEG in resting state (eyes open and eyes closed conditions, during hyperventilation)
- Visual inspection of the EEG recording
- Artifact correction
- Automated spike detection
- to place electrodes on the patients´ head according to 10-20 system
- to start, to end and to store an EEG recording
- to be able to use the built-in user database to manage the datasets
- to remontage 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 do recording.
Topics: Neuromarkers of brain self-regulation
- Basic elements: from single neuron to neuronal networks
- Slow and infra-slow oscillations in EEG
- EEG: Alpha, beta and theta rhythms
- Test-retest reliability
- Age dependence
Educational objectives: Understand neurophysiolgical mechanisms of corticalself-reguation, including
- EEG infraslow rhythms
- EEG theta, alpha and beta rhythms
- Fourier analysis for studying rhythms. Spectra and coherence.
- Test-retest reliability, heritability an age dependence of EE rhythms.
- 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.
- To remontage the recording into the HBI database montage
- To perform spectral analysis
- To compare the results of the analysis with the HBI database
- 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, theta/beta ratios, asymmetry maps for EEGs recorded on the first day will be computed and analyzed.
Topics: Neuromarkers of information flow within the brain
- Decomposing ERPs into independent components
- Functional systems of the brain
Educational objectives: To learn about structural and functional organization of the brain systems. To learn about ERP indexes of information flow in these systems.
- Recording of EEG in Visual Continuous Performance Task (VCPT)
- Preprocessing of EEG
- Computing ERPs by averaging technique
- Comparison of behavioral parameters (omission and commission errors, latencies and variances of responses) with the normative data of the HBI database
- Comparison of ERPs with the HBI database
- To use Psytask software for presenting tasks provided with the HBI database
- To record EEG in one of the tasks (such as VCPT)
- To compute ERPs and behavioral parameters
- To analyze ERPs visually and to make maps of ERPs waves, and
- to compare ERPs with the HBI reference database.
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 do recording. An EEG in the VCPT task will be recorded and analyzed.
Topics: Neuromarkers in diagnosis and treatment of neurological and psychiatric conditions.
- Autistic spectrum disorders
Educational objectives: To learn of how to incorporate the learned methodology in the clinical practice. To learn about neuromarkers in psychiatric and neurological conditions.
- Analysis of EEG records made during the first days
- Constructing neurotherapy protocols for peak performance by using the recorded EEG files
- Analysis of EEG records of patients from the HBI reference database
- Constructing neurotherapy protocols for treatment
Educational objective: to use the HBI reference database for constructing protocols of neurotherapy.
Procedure: The attendees will be divided into groups. Each group will be supplied with an HBI database. The records made during the first days will be analyzed and neurofeedback protocols for peak performance will be suggested. Several records of patients of the HBI database will be analyzed.
Prof. Dr. Juri Kropotov
USSR State Prize Winner, Director of laboratory of the Institute of the Human Brain of the Russian Academy of Sciences, St. Petersburg, Russia Professor II of the Norwegian University of Science and Technology Trondheim, Norway
Prof. Jury Kropotov is a leading and worldwide renowned scientist in the field of quantitative EEG, evoked potentials, neurophysiology and neurotherapy.
This is an online course
This course can not be cancelled
|Course fee (For 5 day(s))||1.640,00 EUR|
|Partner discount: Price for the second & every further person *)||n/a|
|Price Early Bird (for sign-ups *)||na/|
|Price for single course day *)||n/a|
*) Per person only one discount possible. Discounts cannot be cumulated. For single course days no discounts.
Included in the course fee:
- Course material as download
- HBI database with 100 accesses