Abstract:
Evoked response potentials (ERPs) are considered by many to offer the best test/re-test reliability of measurements in the brain. They offer excellent time resolution which provides information about how information delivered by the stimulus or required by the task, is processed in the brain, millisecond by millisecond. Studying ERPs allows for different stages of information processing and provides a better understanding of the patient’s psychological experience.
This course will begin with an overview of ERPs and how they relate to a better clinical understanding of the patient. We will present the history of ERPS, and discuss how the research has led to an understanding of how patient’s processing of information relates to a better understanding of the individual.
With an understanding of ERPS, researchers and clinicians are poised to collect EEG data that allows one to utilize the HBImed database to compare an individual client’s ERPs to a a database. HBImed has developed an evaluation system that allows complex EEG processes to be handled easily and depicted in a report. qEEG and ERP data can be analyzed in a mostly automated manner and be presented in a word document. Using this report generator is a relatively simple step-wise process. It is the art of interpretation of the results and ultimately the combination of the individual patient elements which create a holistic whole.
The course content will include how to use the HBImed report generator and an overview of how to interpret results. The course is aimed at those who wish to expand their evaluations to merge ERPs with their current assessments. The HBImed database is the largest of its kind, is age and gender specific and includes norms for ERPs .
To utilize the full function of the data analysis, access to a Mitzar or BeeMedic X23 amplifier is necessary. For one month following the lecture, BeeMedic will be offering loaner amplifiers and HBImed will offer access to the report generator at no cost.
Presented by: Mitchell Sadar & Angelika Sadar
