Relationship between correlation dimension and indices of linear analysis in both respiratory movement and electroencephalogram

Naoto Burioka, Germaine G Cornelissen-Guillaume, Franz Halberg, Daniel T. Kaplan

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Objective: We investigate the relationships between signals from the electroencephalogram (EEG) and those from respiratory movement using the correlation dimension (D2). Methods: Respiratory movement and EEG were recorded for 7.5 h from 7 clinically healthy men. D2 was calculated by applying an algorithm slightly modified from that proposed by Grassberger and Procaccia (Phys Rev Lett 50 (1983) 346). Non-linearity in respiratory movement and EEG was tested by comparing D2 for the original data with that for surrogate data. Results: A statistically significant positive correlation between D2 of the EEG and D2 of the respiratory movement was observed for the original data, but not for the surrogate data. Conclusions: A reduced D2 of the EEG may be associated with an increased regularity of breathing in deep sleep (stage IV). Likewise, the increased D2 of respiratory movement during rapid eye movement may be associated with increased complexity of the signals. Whether there is a direct coordination between brain and lungs or whether brainstem systems, including that of the cholinergic system, affect both respiration and cortex requires further investigation.

Original languageEnglish (US)
Pages (from-to)1147-1153
Number of pages7
JournalClinical Neurophysiology
Volume112
Issue number7
DOIs
StatePublished - 2001

Bibliographical note

Funding Information:
This work was supported by a grant (11-KOU-179) from the Ministry of Education, Science, Sports and Culture, Japan. The authors wish to thank Drs T. Nomura and T. Takeshima, Institute of Neurological Science, Tottori University, for their helpful suggestions.

Keywords

  • Complexity
  • Correlation dimension
  • Electroencephalogram
  • Non-linear analysis
  • Rapid eye movement sleep
  • Respiration

Fingerprint

Dive into the research topics of 'Relationship between correlation dimension and indices of linear analysis in both respiratory movement and electroencephalogram'. Together they form a unique fingerprint.

Cite this