Multi-scale analysis of neural activity in humans: Implications for micro-scale electrocorticography
Abstract
Objective: Electrocorticography grids have been used to study and diagnose neural pathophysiology for over 50 years, and recently have been used for various neural prosthetic applications. Here we provide evidence that micro-scale electrodes are better suited for studying cortical pathology and function, and for implementing neural prostheses. Methods: This work compares dynamics in space, time, and frequency of cortical field potentials recorded by three types of electrodes: electrocorticographic (ECoG) electrodes, non-penetrating micro-ECoG (μECoG) electrodes that use microelectrodes and have tighter interelectrode spacing; and penetrating microelectrodes (MEA) that penetrate the cortex to record single- or multiunit activity (SUA or MUA) and local field potentials (LFP). Results: While the finest spatial scales are found in LFPs recorded intracortically, we found that LFP recorded from μECoG electrodes demonstrate scales of linear similarity (i.e., correlation, coherence, and phase) closer to the intracortical electrodes than the clinical ECoG electrodes. Conclusions: We conclude that LFPs can be recorded intracortically and epicortically at finer scales than clinical ECoG electrodes are capable of capturing. Significance: Recorded with appropriately scaled electrodes and grids, field potentials expose a more detailed representation of cortical network activity, enabling advanced analyses of cortical pathology and demanding applications such as brain–computer interfaces.
Additional Information
© 2015 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. Accepted 3 June 2015, Available online 11 June 2015.Additional details
- Eprint ID
- 105220
- Resolver ID
- CaltechAUTHORS:20200902-131111645
- Utah Research Foundation
- Defense Advanced Research Projects Agency (DARPA)
- N66001-06-C-8005
- NSF
- EEC-9986866
- Created
-
2020-09-08Created from EPrint's datestamp field
- Updated
-
2023-03-16Created from EPrint's last_modified field