Skip to main content
Log in

Fluctuations of the fractal dimension of the electroencephalogram during periodic breathing in heart failure patients

  • Published:
Journal of Computational Neuroscience Aims and scope Submit manuscript

Abstract

The physiological mechanisms responsible for periodic breathing (PB) in heart failure (HF) patients are still debated. A role for rhythmic shifts in the level of wakefulness has been suggested, but their existence has never been proven. In this study we investigated the existence of an oscillation in EEG activity during PB in these patients and assessed its relationship with the ventilatory oscillation. EEG activity was measured by the fractal dimension (FD) and by a spectral technique (weighted mean frequency, WMF) in 17 stable HF patients (mean age ± SD: 57±10 yrs, NYHA class: 2.6 ± 0.4, LVEF: 24 ± 6%), with sustained PB during supine rest. The relationship between minute ventilation (MV) signal and FD and WMF was assessed by coherence analysis. Most patients (10/17) showed a well defined oscillation in FD and WMF at the frequency of PB closely linked (coherence > 0.7) with the oscillation of MV. In the remaining patients, neither FD nor WMF showed a clear oscillatory pattern synchronous with MV. Overall, the two EEG-derived parameters showed the same coherence with the ventilatory oscillation (mean coherence ± SD: 0.65 ± 0.25 vs 0.66 ± 0.23, for FD and WMF respectively, p = 0.44). Our results provide evidence that during PB in HF patients, EEG activity often, but not always, fluctuates synchronously with the ventilatory oscillation. These fluctuations can be effectively detected by the fractal dimension, but classical spectral methods provide substantially the same information. Other mechanisms, particularly chemical instability in the respiratory control system, are likely to play a role in the genesis of PB.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Accardo, A., Affinito, M., Carrozzi, M., & Bouquet, F. (1997). Use of the fractal dimension for the analysis of electroencephalographic time series. Biological Cybernetics, 77(5), 339–350.

    Article  CAS  PubMed  Google Scholar 

  • Carrozzi, M., Accardo, A., & Bouquet, F. (2004). Analysis of sleep-stage characteristics in full-term newborns by means of spectral and fractal parameters. Sleep, 27(7), 1384–1393.

    PubMed  Google Scholar 

  • Hanly, P. J., Millar, T. W., Steljes, D. G., Baert, R., Frais, M. A., & Kryger, M. H. (1989). Respiration and abnormal sleep in patients with congestive heart failure. Chest, 96, 480–488.

    Article  CAS  PubMed  Google Scholar 

  • Higuchi, T. (1988). Approach to an irregular time series on the basis of the fractal theory. Physica D, 31, 277–283.

    Article  Google Scholar 

  • Javaheri, S. (2006). Sleep disorders in systolic heart failure: a prospective study of 100 male patients. The final report. International Journal of Cardiology, 106(1), 21–28.

    Article  PubMed  Google Scholar 

  • Kay, A., Trinder, J., & Kim, Y. (1995). Individual differences in relationship between upper airway resistance and ventilation during sleep onset. Journal of Applied Physiology, 79, 411–419.

    CAS  PubMed  Google Scholar 

  • Kay, A., Trinder, J., Boves, G., & Kim, Y. (1994). Changes in airway resistance during sleep onset. Journal of Applied Physiology, 76, 1600–1607.

    CAS  PubMed  Google Scholar 

  • Khoo, M. C., Kronauer, R. E., Strohl, K. P., & Slutsky, A. S. (1982). Factors inducing periodic breathing in humans: a general model. Journal of Applied Physiology, 53(3), 644–659.

    CAS  PubMed  Google Scholar 

  • La Rovere, M. T., Pinna, G. D., Maestri, R., Robbi, E., Mortara, A., Fanfulla, F., et al. (2007). Clinical relevance of short-term day-time breathing disorders in chronic heart failure patients. European Journal of Heart Failure, 9(9), 949–954.

    Article  PubMed  Google Scholar 

  • Maestri, R., & Pinna, G. D. (1998). POLYAN: a computer program for polyparametric analysis of cardio-respiratory variability signals. Computer Methods and Programs in Biomedicine, 56(1), 37–48.

    Article  CAS  PubMed  Google Scholar 

  • Maestri, R., Pinna, G. D., Robbi, E., Varanini, M., Emdin, M., Raciti, M., et al. (2002). RESP-24: a computer program for the investigation of 24-h breathing abnormalities in heart failure patients. Computer Methods and Programs in Biomedicine, 68(2), 147–159.

    Article  CAS  PubMed  Google Scholar 

  • Oldenburg, O., Lamp, B., Faber, L., Teschler, H., Horstkotte, D., & Topfer, V. (2007). Sleep-disordered breathing in patients with symptomatic heart failure: a contemporary study of prevalence in and characteristics of 700 patients. European Journal of Heart Failure, 9(3), 251–257.

    Article  PubMed  Google Scholar 

  • Pack, A. I., Cola, M. F., Goldszmidt, A., Ogilvie, M. D., & Gottschalk, A. (1992). Correlation between oscillations in ventilation and frequency content of the electroencephalogram. Journal of Applied Physiology, 72(3), 985–992.

    CAS  PubMed  Google Scholar 

  • Pereda, E., Gamundi, A., Rial, R., & González, J. (1998). Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages. Neuroscience Letters, 250(2), 91–94.

    Article  CAS  PubMed  Google Scholar 

  • Phillipson, E. A., & Bowes, G. (1986). Control of breathing during sleep. In N. S. Cherniack & J. G. Widdicombe (Eds.), Handbook of Physiology, The Respiratory System. Control of breathing (pp. 649–690). Bethesda: American Physiological Society 2.

    Google Scholar 

  • Pinna, G. D., Maestri, R., Mortara, A., Johnson, P., Andrews, D., Ponikowski, P., et al. (2009). Pathophysiological and clinical relevance of simplified monitoring of nocturnal breathing disorders in heart failure patients. European Journal of Heart Failure, 11(3), 264–272.

    Article  PubMed  Google Scholar 

  • Pinna, G. D., Maestri, R., Robbi, E., & La Rovere, M. T. (2008). Periodic breathing and state instability during supine laboratory recordings in chronic heart failure patients. Conference Proceedings-IEEE Engineering in Medicine and Biology Society, 2008, 5398–5401.

    Google Scholar 

  • Priestley, M. B. (1981). Spectral analysis and time series. London: Academic.

    Google Scholar 

  • Pritchard, W. S., Duke, D. W., & Krieble, K. K. (1995). Dimensional analysis of resting human EEG II: Surrogate-data testing indicates nonlinearity but not low-dimensional chaos. Psychophysiology, 32(5), 486–491.

    Article  CAS  PubMed  Google Scholar 

  • Susmakova, K., & Krakovska, A. (2008). Discrimination ability of individual measures used in sleep stages classification. Artificial Intelligence in Medicine, 44, 261–277.

    Article  PubMed  Google Scholar 

  • Trinder, J., Whitworth, F., Kay, A., & Wilkin, P. (1992). Respiratory instability during sleep onset. Journal of Applied Physiology, 73, 2462–2469.

    CAS  PubMed  Google Scholar 

  • Wang, H., Parker, J. D., Newton, G. E., Floras, J. S., Mak, S., Chiu, K. L., et al. (2007). Influence of obstructive sleep apnea on mortality in patients with heart failure. Journal of the American College of Cardiology, 49(15), 1625–1631.

    Article  PubMed  Google Scholar 

  • Yumino, D., & Bradley, T. D. (2008). Central sleep apnea and Cheyne-Stokes respiration. Proceedings of the American Thoracic Society, 5(2), 226–236.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roberto Maestri.

Additional information

Action Editor: Abraham Zvi Snyder

Rights and permissions

Reprints and permissions

About this article

Cite this article

Maestri, R., La Rovere, M.T., Robbi, E. et al. Fluctuations of the fractal dimension of the electroencephalogram during periodic breathing in heart failure patients. J Comput Neurosci 28, 557–565 (2010). https://doi.org/10.1007/s10827-010-0237-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10827-010-0237-4

Keywords

Navigation