06.-07. & 13.-14. Oktober 2023 – QEEG/ERP Intro – Online

Online Intro Course

06.-07. & 13.-14. Oktober 2023 – QEEG/ERP Intro – Online

Overview

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 the analysis of a quantitative EEG (QEEG) as well as evoked potentials (ERPs) and is intended for newcomers in these fields. Determine dysfunctions of the brain by means of brainmaps and comparing EEG/ERP data with the normative HBI database. During the practicum you will have the opportunity to analyse your own EEGs and ERPs (if such data is available in WinEEG format) as well as analyse various clinical cases. We supply all software for EEG/ERP analysis and the HBI database.

Target Groups:
Neurologists, psychiatrists, child- and adolescent psychiatrists, neuropsychologists, psychotherapists, MDs, pediatricians, occupational therapists, Neurofeedback therapists, school psychologists

Content

Course Content

Neuronal basics of brain rhythm generation
Introduction to the methods of EEG recording and montaging
Software based artifact correction and indipendent component analysis (ICA) of EEG data
Distinguishing pathological EEG patterns by means of visual inspection and automated tools
Brainmapping
Comparing EEG data with a normative database of the healthy Human brain (HBi database)
QEEG biomarkers in healthy population and in brain disorders
Introduction to evoked potentials (ERPs)
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

Course language

English

After attending the course you will be able to

At the end of the course you will be able to 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: Practice software-based analysis of EEG data

Preparation

For participation on the live conference you will need a laptop or PC with audio and video function. The use of a head set is recommended.

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.

ISBN 978-0123745125

Short final exam

At the end of the course there will be a short multiple-choice-test.

Certificate

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.

Schedule

The given course times are all based on CEST

Day 1

9:00.12:30
Coffee break ~10:30

Methods of assessment
Topics :
• Theory of measurement
• Psychometrics
• fMRI, PET, broad band spontaneous EEG
• inverse problem• Spectral analysis
• Even-related potentials• Methods of extracting components

12:30 – 14:00 Lunch break

14:00 – 18:00
Coffee break: ~15:30

Practice:
Topics:
• HbIdb software – methods – spectral analysis and event-related potentials, demographics.
• Opening and viewing EEG records, montages.
• Artifact correction• Computing EEG spectra.
• Comparing with the HBI database

Day 2

9:00 – 12:30
Coffee break: ~10:30

Neuromarkers of brain self-regulation
Topics:
• From single neuron to neuronal networks
• Slow and infra-slow oscillations in EEG
• EEG: a family of alpha rhythms in healthy brain, mechanisms of generation, dysfunctional alpha rhythms
• EEG: a family of beta rhythms, different rhythms – different mechanisms, dysfunctional beta rhythms
• EEG: frontline theta rhythm the only healthy theta rhythm, dysfunctional theta rhythms

12:30 – 14:00 Lunch break

14:00 – 18:00
Coffee break:~15:30

Practice
Topics:
• Examples of healthy rhythms : frontal midline theta, occipital alpha, parietal alpha, mu-rhythms, beta rhythms.
• Abnormal EEG spectra in ADHD, EEG subtypes of ADHD.
• Abnormal EEG in autism, EEG subtypes of ASD

Day 3

9:00 – 12:30
Coffee break: ~10:30

Neuromarkers of information flow within the brain in healthy subjects and psychiatric patients.
Topics:
• Sensory systems and sensory-related ERP components: P1/N1, MMN, N170, N250, P2
• Executive system and ERP components of cognitive control : CNV, P2, cue, frontal N2, family of late positive components (P3b, P3 NOGO)
• Affective System and its ERP components : N1 as measure of anxiety, ERP components of emotions
• Memory systems : hippocampous and consilidation of episodic memory, old/new effetc in ERPs
• ADHD : subtypes in ERPs, predicting response to psychostimulants.• Schizophrenia: ERP neuromarkers, neuronal model
• OCD : error related negativity, overactivation vs hypoactivation.

12 :30 – 14:00 Lunch break

14:00 – 18:00
Coffee break:~15:30

Practice
Topics:
• Computing event -related potential in MMN, oddball and GO/NOGO task in healthy subjects.
• Examples of abnoral ERPs (ADHD, shizophrenia, OCD).
• Comparison of behavioral parameters (omission and commission errors, latencies and variances of responses) with the normative data.

Day 4

9:00 – 12:30
Coffee break: ~10:30

Methods of neuromodulation
Topics:
• tDCS : neuronal mechanisms, advantages and limitations• Neurofeedback : types and mechanisms
• TMS : physical and physiological effects• Deep brain stimulation
• Application of neuromodulation techniques in clinical practice.

12 :30 – 14:00 Lunch break

14:00 – 18:00
Coffee break:~15:30

Practice
Topics:
• Analysis of EEG data the attandees want to share.
• More clinical cases.

Lecturers

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. Juri Kropotov is a leading and worldwide renowned scientist in the field of quantitative EEG, evoked potentials, neurophysiology and neurotherapy.

Location

Prices

Course fee (For 4 day(s)) per person 1.890,00 EUR
Partner discount: Price for the second & every further person *) n/a
Price Early Bird *) n/a
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 manual as download for self print out
HBI database with 100 accesses (Value EUR 1200)
The registration for the online course requires the participation in both weekends.

Register

This course is split into Part I 06./07.10 & Part II 13./14.10.2023. Both parts have to be attended. Closing date for this course is: 22.09.2023.
Missed the deadline for registration or problems filling in the application form? Please contact us.

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