EEG analytics: benefits and challenges of data driven EEG biomarkers for neurodegenerative diseases

Automated quantitative analysis of EEG data is ubiquitous in clinical neurophysiology research. However, these methods have not been fully adopted in medical practice, specifically to inform clinical diagnosis of neurological disorders. In this paper, some of the benefits and challenges of using these techniques as biomarkers for disease indication and progression are discussed. Examples of baseline EEG (resting state) data acquired with the...