Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings. Academic Article uri icon

Overview

abstract

  • 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.

authors

  • Zarr, Veronica M
  • Liou, Jyun-You
  • Merricks, Edward M
  • Davis, Tyler S
  • Thomson, Kyle
  • Greger, Bradley
  • House, Paul A
  • Emerson, Ronald G
  • Goodman, Robert R
  • McKhann, Guy M
  • Sheth, Sameer A
  • Schevon, Catherine A
  • Rolston, John D
  • Smith, Elliot H

publication date

  • February 27, 2025

Research

keywords

  • Electrophysiological Phenomena

Identity

Scopus Document Identifier

  • 85218907508

Digital Object Identifier (DOI)

  • 10.1016/j.xpro.2025.103659

PubMed ID

  • 40022738

Additional Document Info

volume

  • 6

issue

  • 1