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Quantifying Phase-Amplitude Modulation in Neural Data.
Subritzky-Katz, Victoria; Sampson, Aaron L; Emeric, Erik; Lipski, Witold; Moreira-González, Sophia; González-Martínez, Jorge; Sarma, Sridevi; Stuphorn, Veit; Niebur, Ernst.
Affiliation
  • Subritzky-Katz V; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA.
  • Sampson AL; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA.
  • Emeric E; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA.
  • Lipski W; Cortical Systems Lab, University of Pittsburgh Medical School, Pittsburgh, PA, USA.
  • Moreira-González S; Cortical Systems Lab, University of Pittsburgh Medical School, Pittsburgh, PA, USA.
  • González-Martínez J; Department of Neurosurgery, University of Pittsburgh Medical School, Pittsburgh, PA, USA.
  • Sarma S; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Stuphorn V; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA.
  • Niebur E; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA.
Annu Conf Inf Sci Syst ; 20232023 Mar.
Article in En | MEDLINE | ID: mdl-38250522
ABSTRACT
Phase-amplitude modulation (the modulation of the amplitude of higher frequency oscillations by the phase of lower frequency oscillations) is a specific type of cross-frequency coupling that has been observed in neural recordings from multiple species in a range of behavioral contexts. Given its potential importance, care must be taken with how it is measured and quantified. Previous studies have quantified phase-amplitude modulation by measuring the distance of the amplitude distribution from a uniform distribution. While this method is of general applicability, it is not targeted to the specific modulation pattern frequently observed with low-frequency oscillations. Here we develop a new method that has increased specificity to detect modulation in the sinusoidal shape commonly observed in neural data.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Annu Conf Inf Sci Syst Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Annu Conf Inf Sci Syst Year: 2023 Document type: Article Affiliation country: Country of publication: