Goded Shahaf
Reuth Medical Center, Israel
Title: Thorough EEG/ERP analysis and modeling yields a highly effective marker
Biography
Biography: Goded Shahaf
Abstract
We devised a method for comprehensive analysis of the flow of activity underlying the averaged EEG Event-Related Potentials (ERP). This method identifies the network of local activations sampled with multiple electrodes, their timing relative to the event and their frequency characteristics. Nevertheless we noted that the comprehensive analysis yields simple networks, which could be summarized as a superposition of two underlying processes, spread in space and time. These processes are seemingly perception and attention-related. However, due to its spread, the attention-related process could be sampled from just a single channel. Furthermore, due to the simplicity of the emerging envelope its correlates could also be sampled from single-trials analysis and fom continuous EEG in a manner, which is rather robust to noise. Such an effective and simple to use attention-related marker seems highly usable in the evaluation of treatment effect and in treatment direction for a plurality of neurological and psychiatric dysfunctions. We demonstrate the effectiveness and applicability of our attention marker in multiple fields including ADHD, migraine, depression, dementia, neural rehabilitation and aneshtesia.