Dr. Rivi Sela is the co-founder and CEO of BetterFly Neurofeedback, an innovative cloud-based neurofeedback technology that allows clinicians to treat patients both in the clinic and at the patients’ homes. Rivi pioneered the neurofeedback field in Israel and has trained many neurofeedback clinicians. She founded the BrainGames-Israel clinics ten years ago, and treated hundreds of patients suffering from ADHD, epilepsy, autism, anxiety and depression. Under her supervision, the BrainGames clinics have provided diagnostic evaluations, QEEG recordings and analyses and non-drug interventions to patients of all ages, both children and adults. Prior to embarking on her neurofeedback career, Rivi served for many years as the Chief Technology Director of the Sheba Hospital, the largest medical centre in Israel, and specialized in developing and implementing clinical technologies, including both hardware and software components. In that framework, she collaborated with leading companies from around the world.
Rivi is speaking at
In 2004 a position paper on the standards of use of QEEG in neurofeedback was published by a group of leading therapists in our field (Dr. Hammond, Dr. Walker, Dr. Hoffman, Dr. Lubar, Dr. Trudeau, R. Gurnee, Dr. Hovart). This position paper was accepted by the ISNR board as an official position paper of the ISNR.
The paper states, among other things, that a growing number of clinicians use qEEG to decide on neurofeedback protocols, and that a growing body of peer reviewed research attests to the utility of the qEEG in providing a scientifically objective and clinically practical assessment of a wide range of psychiatric, psychological and medical conditions. The paper also reached the following conclusion: “It is not necessary for a physician to screen raw EEG data as part of a qEEG evaluation for neurofeedback training.” In the last 14 years since that position paper was published, many neurofeedback therapists accepted qEEG as their basis for deciding on training protocols, and they use automatic analysis software for holding spectral analysis and comparison to age norms. By the maps and diagrams that the software produces, they decide where to place the electrodes and which frequencies to train.
The presentation will demonstrate step by step why deep understanding of the raw EEG is crucial to reading the qEEG maps and diagrams accurately, in order to reach the correct neurofeedback protocols. The 45-minute presentation will use EEG/qEEG examples to show the following:
Learn how to reach more accurate diagnosis and choose the most effective treatment protocol for your trainees!
EEG and Quantitative EEG (qEEG) are valuable tools for supporting the diagnosis and targeted, effective therapy of a host of different neuropsychological disorders. This one-day hands-on workshop will go over EEG biomarkers to classify brain disorders and to reach more personalized treatment protocols. The workshop will demonstrate step by step how to analyze Raw EEGs, using sample recordings of patients suffering from ADHD, ASD and Epilepsy.
The workshop will have four parts:
Part 1: Neuromarkers characterizing the different types of ADHD and typical neuromarkers prevalent in ASD.
Part 2: Hands on analysis of qEEG. We will look at the raw EEG and then analyze the qEEG using Spectra charts, diagrams, maps, spike detection and spike averaging. We will also use visualization methods, such as Dipole Approximations and Low Resolution Electromagnetic Tomography (LORETA).
Part 3: Deciding on a treatment protocol based on the Raw EEG and qEEG analyses and following treatment outcomes using qEEG.
Part 4: Open discussion and analysis of EEG recordings brought by the attendees.
Format and Agenda:
The workshop is a hands-on learning opportunity. The demonstration will use WinEEG for analysis and will use the HBI database for age-norm comparisons. Attendees who would like to practice qEEG analyses in class should bring their laptop computer with their HBI comparison key. Attendees are welcome to bring EEG recordings of their own clients to be analyzed in class.