Cycle-frequency content EEG analysis improves the assessment of respiratory-related cortical activity

Xavier Navarro-Sune, Mathieu Raux, Anna L Hudson, Thomas Similowski, Mario Chavez

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Objective: Time-frequency (T-F) analysis of electroencephalographic (EEG) is a common technique to characterise spectral changes in neural activity. This study explores the limitations of utilizing conventional spectral techniques in examining cyclic event-related cortical activities due to challenges, including high inter-trial variability. 

Approach: Introducing the cycle-frequency (C-F) analysis, we aim to enhance the evaluation of cycle-locked respiratory events. For synthetic EEG that mimicked cycle-locked pre-motor activity, C-F had more accurate frequency and time localization compared to conventional T-F analysis, even for a significantly reduced number of trials and a variability of breathing rhythm. 

Main results: Preliminary validations using real EEG data during both unloaded breathing and loaded breathing (that evokes pre-motor activity) suggest potential benefits of using the C-F method, particularly in normalizing time units to cyclic activity phases and refining baseline placement and duration.

Significance: The proposed approach could provide new insights for the study of rhythmic neural activities, complementing T-F analysis.

Original languageEnglish
Article number095003
Number of pages18
JournalPhysiological Measurement
Volume45
Issue number9
DOIs
Publication statusPublished - Sept 2024

Keywords

  • electroencephalography
  • event-related potentials
  • event-related spectral perturbation
  • respiratory-related cortical activity
  • time-frequency analysis

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