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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
  • New York University
  • Vanderbilt University
  • University of California at Los Angeles
  • University of Washington
  • Stanford University
  • University of California at Berkeley
  • University of California at San Francisco
  • Howard Hughes Medical Institute
  • Columbia University
  • McGill University
  • University of Pennsylvania
  • University of North Texas
  • University of California at Davis
  • Weizmann Institute of Science
  • Dartmouth College
  • University of Lethbridge
  • Consejo Superior de Investigaciones Científicas (CSIC) and CIBERFES
  • University of Oxford
  • Massachusetts Institute of Technology
  • National Institutes of Health
  • Université Psl

Research output: Contribution to journalReview articlepeer-review

107 Scopus citations

Abstract

Decades of rodent research have established the role of hippocampal sharp wave ripples (SPW-Rs) in consolidating and guiding experience. More recently, intracranial recordings in humans have suggested their role in episodic and semantic memory. Yet, common standards for recording, detection, and reporting do not exist. Here, we outline the methodological challenges involved in detecting ripple events and offer practical recommendations to improve separation from other high-frequency oscillations. We argue that shared experimental, detection, and reporting standards will provide a solid foundation for future translational discovery.

Original languageEnglish
Article number6000
JournalNature Communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022

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