Sponge EEG is equivalent regarding signal quality, but faster than routine EEG
Location: Room 101 - 11/2/23, 4:00 PM - 11/2/23, 4:30 PM (Europe/Amsterdam) (30 minutes)

Justus Marquetand is a specialist in neurology and a clinical and scientific expert in clinical neurophysiology and epileptology; after working for about ten years at the Neurological University Clinic in Tübingen, he is currently a junior research group leader at the Hertie Institute for Clinical Brain Research in Tübingen and a clinical-scientific advisor at the University of Stuttgart. Lately, he completed his habilitation (on the subject of quantum sensor technology) and decided to take a break from clinical work to devote himself more intensively to science. He supervises 14 doctoral, master and bachelor students and coordinates various scientific consortia in the field of quantum technology and sensor technology. Next to this, he was recently announced as the editor-in-chief of the journal “Klinische Neurophysiologie”, which is the public organ of the German society of clinical neurophysiology (DGKN – the society for EEG).


Emergency diagnostics, such as acquisition of an electroencephalogram (EEG), are of great diagnostic importance, but there is often a lack of experienced personnel. Wet active electrode sponge-based electroencephalogram (sp-EEG) systems can be applied rapidly and by inexperienced personnel. This makes them an attractive alternative to routine EEG (r-EEG) systems in these settings. Here, we examined the feasibility and signal quality of sp-EEG compared to r-EEG. Methods: In this case-control, single-blind, non-randomized study, EEG recordings using a sp- and a rEEG system were performed in 18 individuals with a variety of epileptiform discharges and 11 healthy control subjects. The time was stopped until all electrodes in both systems displayed adequate skinelectrode impedances. The resulting 58 EEGs were visually inspected by 7 experienced, blinded neurologists. Raters were asked to score physiological and pathological graphoelements, and to distinguish between the different systems by visual inspection of the EEGs. Results: Time to signal acquisition for sp-EEG was significantly faster (4.8 min (SD 2.01) vs. r-EEG 13.3 min (SD 2.72), p < 0.001). All physiological and pathological graphoelements of all 58 EEGs could be identified. Raters were unable to distinguish between sp-EEG or r-EEG based on visual inspection of the EEGs alone. Conclusions: Sp-EEG represents a feasible alternative to r-EEG in emergency diagnostics or resourcelimited settings. Significance: Given shortage of trained personnel or resources, the easy implementation and comparable quality of a novel sp-EEG system may increase general availability of EEG and thus improve patient care.