Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings

• DOI: 10.1016/j.xpro.2025.103659
• Publication Date: 2025-02-27T21:44:51Z
• Authors: Veronica M. Zarr; Jyun-You Liou; Edward M. Merricks; Tyler S. Davis; Kyle Thomson; Bradley Greger; Paul A. House; Ronald G. Emerson; Robert R. Goodman; Guy M. McKhann; Sameer A. Sheth; Catherine A. Schevon; John D. Rolston; Elliot H. Smith
• Keywords: Behavior; Q1-390; Science (General); Cognitive Neuroscience; Neuroscience

Summary: Innovations in electrophysiological recordings and computational analytic techniques enable high-resolution analysis of neural traveling waves. Here, we present a protocol for the detection and analysis of traveling waves from multi-day microelectrode array human electrophysiological recordings through a multi-linear regression statistical approach using point estimator data. We describe steps for traveling wave detection, feature characterization, and propagation pattern analysis. This protocol may improve our understanding of the coordination of neurons during non-oscillatory neural dynamics.For complete details on the use and execution of this protocol, please refer to Smith et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.