• DocumentCode
    978087
  • Title

    The effects of hypercapnia on early and later phases of phrenic neurogram during early maturation

  • Author

    Akay, Metin ; Ichinoseki-Sekine, Noriko

  • Author_Institution
    Dept. of Bioeng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    53
  • Issue
    7
  • fYear
    2006
  • fDate
    7/1/2006 12:00:00 AM
  • Firstpage
    1250
  • Lastpage
    1254
  • Abstract
    In this paper, we investigate the influence of hypercapnia on the early and late phases of the phrenic neurogram using the matching pursuit (MP) method in the decebrated piglets. The phrenic neurogram was recorded from 8 piglets (4-7 days old) during control (40% O2 with 5% end-tidal CO2), the mild hypercapnia (40% O2 with 7% end-tidal CO2), and the severe hypercapnia (40% O2 with 15% end-tidal CO2). The time-frequency representations, atoms, of the phrenic neurogram are calculated from the 5 consecutive phrenic neurogram burst for each piglet for each condition using the MP method after vagotomy and chemodenervation. Our results show that the energy percentage of atoms representing the nonperiodic neural activities (NPNAs) significantly increased when the CO2 concentration was shifted from 7% to 15% in the early phase (the first half) of the phrenic neurogram. In addition, the energy percentage of atoms representing the periodic neural activities (PNAs) decreased in the late phase (the second half) when the CO2 concentration was shifted from 7% to 15% (p<0.01). As a summary, our result suggest that hypercapnia results in significant changes in the phrenic neurogram, an output of the respiratory neural networks in the medulla, both in time and frequency domians during early maturation.
  • Keywords
    carbon compounds; medical signal processing; neurophysiology; pneumodynamics; time-frequency analysis; CO/sub 2/; chemodenervation; decebrated piglets; early maturation; hypercapnia; matching pursuit method; medulla; nonperiodic neural activities; periodic neural activities; phrenic neurogram; respiratory neural networks; time-frequency representations; vagotomy; Biomedical engineering; Fast Fourier transforms; Fires; Matching pursuit algorithms; Neural networks; Neurons; Presence network agents; Spectral analysis; Time domain analysis; Time frequency analysis; Hypercapnia; matching pursuit; phrenic neurogram; respiratory pattern generator; time-frequency analysis; Action Potentials; Adaptation, Physiological; Aging; Animals; Animals, Newborn; Biological Clocks; Decerebrate State; Hypercapnia; Phrenic Nerve; Swine;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.873759
  • Filename
    1643394