qEEG and Event Related Potentials Workshop
After attending the course you will be able to analyze 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. As an example, you learn about functioning of your own brain reflected in spontaneous EEG and ERPs.
Instructor: Prof. Juri Kropotov
Social neuroscience combines approaches from cognitive neuroscience and social psychology and highlights a multilevel approach to emotional, social, and cognitive phenomena, making it one of the newer, more promising fields of cognitive neuroscience. Event-related potentials (ERPs) are useful for not only obtaining excellent temporal resolution, but also engaging features such as dense arrays, single-trial analysis, source localization algorithms, and connectivity and frequency measures, among others, which provide multiple time sources of brain activity in response to cognitive events.The core part of the course is intended to introduce qEEG and ERP-based biomarkers. The methodology of recording and analysis of ERPs will be presented. The focus will be made on recently emerged tools such as the Laplasian transformation and methods of Blind Source separation.
Application of ERP for diagnosing ADHD, schizophrenia, OCD, ASD will be discussed. Biomarkers of these disorders (amplitude and latencies of latent ERP components) will be presented. Finally, the presenter’s experience of using ERPs for constructing protocols of neuromodulation (TMS, tDCS, and neurofeedback) will be discussed.
TBD
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
- Describe Montages and Laplacian transformation
- Be able to make Artifact corrections in the raw EEG data, Spectral analysis, independent component analysis, inverse problem solution.
- Event-related potentials, methods of extracting components
- Describe Normative databases and explain how to make a Comparison of data collected with the database.
- Discuss Slow and infra-slow oscillations in EEG
- Explain the EEG: a family of alpha rhythms in healthy brain, mechanisms of generation, dysfunctional alpha rhythms
- Explain the EEG: a family of beta rhythms, different rhythms – different mechanisms, dysfunctional beta rhythms
- Explain the EEG: frontal midline theta rhythm the only healthy theta rhythm, dysfunctional theta rhythms
- Explain Sensory systems and sensory-related ERP components: P1/N1, MMN, N170, N250, P2
- Explain the Executive system and ERP components of cognitive control: CNV, P3 cue, frontal N2, family of late positive components (P3b, P3 NOGO)
- List components of the Affective system and its ERP components: Identify N1 as a measure of anxiety, ERP components to emotions.
- Describe the Memory systems: hippocampus and consolidation of episodic memory, old/new effect in ERPs
- Explain the neuronal mechanisms of tDCS.
- Explain Neurofeedback: types and mechanisms
- Explain the: neuronal mechanisms: advantages and limitations of tDCS
- Explain the physical and physiological effects of TMS.
- Describe Deep brain stimulation
- Be able to describe QEEG and ERPs as tools for constructing protocols of neuromodulation.
- List ADHD: subtypes in QEEG, subtype in ERPs,
- Describe how ADHD Subtypes help in diagnosis and prognosis: predicting response to psychostimulants, neurofeedback and tDCS
- Discus Schizophrenia as related to ERP neuromarkers, neuronal model, neuromodulation techniques
- Discuss ASD as an impairment of processing in the ventral visual stream,and methods of neuromodulation for ASD
- Discuss OCD in terms of error related negativity, overactivation vs hypoactivation, neuromodulation attempts and the success rates of the attempts.
- Collect your own brain wave data
- Analyze EEGs and by yourself using Wineeg
- Analyze simple ERPs
- Know how to make use of biomarkers in order to make a more precise diagnosis and to treat your patients more effectively. As an example, you learn about functioning of your own brain reflected in spontaneous EEG and ERPs.
English.
Mornings will be a didact lecture and afternoons will include practicum. EEG and ERPs of each participant will be recorded and analyzed.
Day 1.
Morning: Methods of assessment of scalp-recorded EEG.
Afternoon: EEG and ERP recording in attendees, practicing in artifact correction, remontaging, computing spectra and ERPs.
Day 2.
Morning: Neuromarkers of brain self-regulation
Afternoon: EEG and ERP recording in attendees, practicing in comparing EEG spectra with the normative data.
Day 3.
Morning: Neuromarkers of information flow within the brain
Afternoon: EEG and ERP recording in attendees, practicing in comparing ERPs with the normative data.
Day 4.
Morning: methods of neuromodulation
Afternoon: Analyzing spontaneous EEG and ERPs in patients of different diagnostic categories (ADHD, schizophrenia, ASD, OCD, TBI).
Day 5.
Morning: Neuromarkers in psychiatric conditions.
Prof. Juri Kropotov is a world renowned neuroscientist, USSR State Prize Winner (an eqivalent to the Nobel Prize in the Soviet Union), Copernicus Prize winner, director of the laboratory of the N.P. Bechtereva Institute of the Human Brain of Russian Academy of Sciences, St. Petersburg, Russia, Professor at Krakow University, founder of HBImed company, Switzerland. He will be presenting the unique methodology developed in his labs which allows sophisticated analysis of brain electric activity in resting states and under task conditions. The methodology is described in his book Kropotov, J.D. (2009). Quantitative EEG, event-related potentials, and neurotherapy. London: Academic Press. These precise measurements of brain function are currently used as Neuromarkers in the clinical context to evaluate brain health in different psychiatric and neurological disorders. The experience of translating the HBI methodology into clinical practice is presented in his new book Kropotov, J. D. (2016). Functional neuromarkers for psychiatry: Applications for diagnosis and treatment. San Diego, CA, US: Elsevier Academic Press. His scientific and research career spans 45 years of dedicated work in Brain science. He has earned three degrees: in theoretical physics, in philosophy and in neuroscience. His current scientific interests are now focused on quantitative EEG, event-related potentials (ERPs), neuromodulation (Neurofeedback, TMS, tDCS, DBS), neuromarkers of psychiatric and neurological disorders.
