Nature Communications (Oct 2022)

A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations

  • Anli A. Liu,
  • Simon Henin,
  • Saman Abbaspoor,
  • Anatol Bragin,
  • Elizabeth A. Buffalo,
  • Jordan S. Farrell,
  • David J. Foster,
  • Loren M. Frank,
  • Tamara Gedankien,
  • Jean Gotman,
  • Jennifer A. Guidera,
  • Kari L. Hoffman,
  • Joshua Jacobs,
  • Michael J. Kahana,
  • Lin Li,
  • Zhenrui Liao,
  • Jack J. Lin,
  • Attila Losonczy,
  • Rafael Malach,
  • Matthijs A. van der Meer,
  • Kathryn McClain,
  • Bruce L. McNaughton,
  • Yitzhak Norman,
  • Andrea Navas-Olive,
  • Liset M. de la Prida,
  • Jon W. Rueckemann,
  • John J. Sakon,
  • Ivan Skelin,
  • Ivan Soltesz,
  • Bernhard P. Staresina,
  • Shennan A. Weiss,
  • Matthew A. Wilson,
  • Kareem A. Zaghloul,
  • Michaël Zugaro,
  • György Buzsáki

DOI
https://doi.org/10.1038/s41467-022-33536-x
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

Read online

While the contribution of sharp wave ripples in memory consolidation and decision-making is established in rodent models, our understanding of their role in human memory is incomplete. Here, the authors discuss common methodological challenges in detecting, analyzing, and reporting sharp wave ripples, then they suggest practical solutions to distinguish them from other high-frequency events