A novel method for dynamically altering the surface area of intracranial EEG electrodes

• Published in: Journal of neural engineering Vol. 20; no. 2; pp. 26002 - 26018
• Main Authors: Sindhu, Kavyakantha Remakanthakurup, Ngo, Duy, Ombao, Hernando, Olaya, Joffre E, Shrey, Daniel W, Lopour, Beth A
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.04.2023
• Subjects: Brain; electrocorticogram; Electrocorticography - methods; electrode model; electrode properties; electrode size; Electrodes; Electroencephalography - methods; Epilepsy; Humans; interictal epileptiform discharge; intracranial electroencephalogram; power spectrum; power spectrum; electrocorticogram; intracranial electroencephalogram; electrode model; electrode size; electrode properties; interictal epileptiform discharge
• ISSN: 1741-2560; 1741-2552; 1741-2552
• DOI: 10.1088/1741-2552/acb79f

Objective. Intracranial electroencephalogram (iEEG) plays a critical role in the treatment of neurological diseases, such as epilepsy and Parkinson’s disease, as well as the development of neural prostheses and brain computer interfaces. While electrode geometries vary widely across these applications, the impact of electrode size on iEEG features and morphology is not well understood. Some insight has been gained from computer simulations, as well as experiments in which signals are recorded using electrodes of different sizes concurrently in different brain regions. Here, we introduce a novel method to record from electrodes of different sizes in the exact same location by changing the size of iEEG electrodes after implantation in the brain. Approach. We first present a theoretical model and an in vitro validation of the method. We then report the results of an in vivo implementation in three human subjects with refractory epilepsy. We recorded iEEG data from three different electrode sizes and compared the amplitudes, power spectra, inter-channel correlations, and signal-to-noise ratio (SNR) of interictal epileptiform discharges, i.e. epileptic spikes. Main Results. We found that iEEG amplitude and power decreased as electrode size increased, while inter-channel correlation did not change significantly with electrode size. The SNR of epileptic spikes was generally highest in the smallest electrodes, but 39% of spikes had maximal SNR in larger electrodes. This likely depends on the precise location and spatial spread of each spike. Significance. Overall, this new method enables multi-scale measurements of electrical activity in the human brain that can facilitate our understanding of neurophysiology, treatment of neurological disease, and development of novel technologies.