Presented by Nicholas Dogris: For over 30 years scientists have been examining electrical potentials that are timed locked to a specific event for the purpose of understanding human cognition. Since that time numerous observations have been made that help to unlock the mysteries of the brain. The addition of the adaptive mixture independent component analysis (AMICA) model to ERP research has allowed for scientists to better understand how ad4nd where the brain responds to specific events. ERP paradigms such as visual and auditory “go nogo” tasks can illuminate long latency time and network lag that may be associated with clinical problems seen in people who suffer from attention, concentration, mood and cognitive processing issues. In this presentation you will be presented with a model of testing and analysis that uses visual and auditory ERPs that have been spatially located using the AMICA model. The data obtained through this analysis is then utilized to develop neuromodulation treatment plans so as to reduce patient symptoms. Current use of this model will be presented along with future research trends.
2020: Using ERPs and ICA in Clinical Practice (Plenary)
Presented by Nicholas Dogris: For over 30 years scientists have been examining electrical potentials that are timed locked to a specific event for the purpose of understanding human cognition. Since that time numerous observations have been made that help to unlock the mysteries of the brain. The addition of the adaptive mixture independent component analysis (AMICA) model to ERP research has allowed for scientists to better understand how ad4nd where the brain responds to specific events. ERP paradigms such as visual and auditory “go nogo” tasks can illuminate long latency time and network lag that may be associated with clinical problems seen in people who suffer from attention, concentration, mood and cognitive processing issues. In this presentation you will be presented with a model of testing and analysis that uses visual and auditory ERPs that have been spatially located using the AMICA model. The data obtained through this analysis is then utilized to develop neuromodulation treatment plans so as to reduce patient symptoms. Current use of this model will be presented along with future research trends.
$30.00
