Quantitative EEG (QEEG) and Neurofeedback: Theory and Applications

Teacher

Assoc. Prof. Dr. Nidal Kamel

Category

Technical Professional Course

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Introduction

Quantitative EEG (QEEG) Quantitative electroencephalogram (QEEG) has become an important technique for psychophysiological assessment of brain disorders. This QEEG course enables the extraordinary potential of QEEG analysis to be fully exploited and guides the clinician/researcher toward a powerful analytic system in Quantitative Analysis that moves beyond the identification of simple statistical deviance. Expert team of QEEG researchers will teach the fundamental tools used in EEG analysis including reading and de-artifacting of the EEG record, montages, topographic aspects and comparison with normalized EEG data, frequency and wavelet analysis and others. Furthermore, the team will expand the possibilities of brain analysis towards neural networks and explain the brain functional and effective connectivity and their potential roles in studying the changes in brain connections due various brain disorders, like stress, anxiety, alcoholism and epileptic seizures.

Neurofeedback

Neurofeedback uses real-time digital technology to measure electrical activity of the brain (EEG) and present this information in a form that enables an individual to perceive changes in the state of the brain and learn to modify abnormal EEG patterns. Neurofeedback has been shown to be effective in the treatment of ADHD, seizure disorders, anxiety (e.g., obsessive-compulsive disorder, generalized anxiety disorder, post-traumatic stress disorder, and phobias), depression, reading disabilities, and addictive disorders.   Expert team in neurofeedback training and development will encompass the fundamentals of neurofeedback and its protocols. The course will cover the details on selecting the protocols and stimulus contents for different neurofeedback applications.      

Objectives

Upon completion of this course, participants will be able:
  • Record and clean EEG signals from artifacts.
  • Analyse EEG signals in time, frequency and time-frequency domains.
  • Use the topographic maps and functional and effective connectivity in brain analysis.
  • Apply various Neurofeedback montages and protocols and use QEEG to optimize the brain training process.
   

Trainers

AP. Dr. Nidal Kamel received his PhD degree (Hons) from the Technical University of Gdansk, Poland, in 1993. Since 1993 he has been involved in research projects related to estimation theory, noise reduction, optimal filtering, and pattern recognition. He developed single-trial subspace-based technique for ERP extraction from brain background noise, time-constraints optimization technique for speckle noise reduction in SAR images, and introduced data glove for online signature verification. His present research interest is mainly in EEG signal processing for localization of brain sources, assessment of cognitive and visual distraction, Neurofeedback, learning and memory recall, as well as fMRI- EEG data fusion. He has been the editor of EEG/ERP Analysis: Methods and Applications, CRC Press, NY, 2015 and co-author of Brain Source Localization Using EEG Signal Analysis, Taylor and Francis, Ny, 2018. AP. Dr. Syed Saad Azhar Ali received the B.E. degree in electrical engineering from NED University, Karachi, Pakistan, and the master’s and doctoral degrees in nonlinear control from the King Fahd University of Petroleum & Minerals. He was with Air University and Iqra University prior to being engaged as Associate Professor with the Center of Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS. Recently, he has been involved in neurosignal processing. He has authored over 70 peer- reviewed publications, including four books/chapters. His research focus has been on intelligent control, signal processing, underwater robotics with the emphasis on image enhancement and 3-D scene reconstruction. He is the PI for several funded research projects.    

Course Contents

This three-day course will cover the following aspects (case studies may be included in some topics):
  • EEG Principals and Foundations
  • Univariable-based QEEG Analysis
  • Bivariable-based QEEG Analysis
  • Granger Causality and Brain’s Effective Connectivity
  • Brain Maps Analysis and z-score
  • Neurofeedback Training from Theory to Practices
  • NF Advancements and Hands-on Experience
 

Download the Course Brochure: Quantitative EEG (QEEG) and Neurofeedback: Theory and Applications

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To register, download the CAPE Professional Short Course Registration Form and email the completed form to cape@utp.edu.my.

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Introduction Quantitative EEG (QEEG) Quantitative electroencephalogram (QEEG) has become an important technique for psychophysiological assessment of brain disorders. This QEEG course enables the extraordinary potential of QEEG analysis to be fully exploited and guides the clinician/researcher toward a powerful analytic […]

Price : 2,040 for Professional (Discount available for students, group registration, PETRONAS staff, and UTP alumni) MYR

Max Availability : 24

Location : Level 16, Menara 2, Menara Kembar Bank Rakyat, Jalan Travers, 50470 Kuala Lumpur