Nonstationary time-series analysis applied to investigation of brainstem system dynamics
- Previous investigations of the dynamic organization of the lower brainstem and its relation to peripheral and other central nervous systems were predominantly performed by linear methods. These are based on time-averaging algorithms, which merely can be applied to stationary signal intervals. Thus, the current concept of the common brainstem system (CBS) in the reticular formation (RF) of the lower brainstem and basic types of its functional organization have been developed. Here, the authors present experiments where neuronal activities of the RF and the nucleus tractus solitarii (NTS, first relay station of baroreceptor afferents) were recorded together with related parameters of electroencephalogram (EEG), respiration, and cardiovascular system. The RF neurons are part of the CBS, which participates in regulation and coordination of cardiovascular, respiratory, and motor systems, and vigilance. The physiological time series, thus acquired, yield information about the internal dynamic coordination of the participating regulation processes. The major problem in evaluating these data is the nonlinearity and nonstationarity of the signals. The authors used a set of especially designed time resolving methods to evaluate nonlinear dynamic couplings in the interaction between CBS neurons and cardiovascular signals, respiration and the EEG, and between NTS neurons (influenced by baroreceptor afferents) and CBS neurons.
| URN: | urn:nbn:de:kobv:526-opus4-9337 |
|---|---|
| Publisher DOI: | https://doi.org/10.1109/10.844220 |
| Author: | Ralf VandenhoutenGND, Manfred Lambertz, Peter Langhorst, Reinhard Grebe |
| ISSN: | 1558-2531 |
| Parent Title (English): | IEEE Transactions on Biomedical Engineering (T-BME) |
| Document Type: | Article |
| Language: | English |
| Year of Publication: | 2000 |
| Volume: | 47 |
| Issue: | 6 |
| First Page: | 729 |
| Last Page: | 737 |
| Publishing Institution: | Technische Hochschule Wildau |
| Tag: | cardiology; cardiovascular system; central nervous system; design methodology; electroencephalography; neuron; nonlinear dynamical system; radio frequency; relay; time series analysis |
| Source: | R. Vandenhouten, M. Lambertz, P. Langhorst and R. Grebe, "Nonstationary time-series analysis applied to investigation of brainstem system dynamics," in IEEE Transactions on Biomedical Engineering, vol. 47, no. 6, pp. 729-737, June 2000. doi: 10.1109/10.844220 |
| Copyright: | © 2000 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. [http://www.ieee.org/publications_standards/publications/rights/rights_policies.html] |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 60 Technik / 600 Technik, Technologie |
| 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit | |
| Licence (German): | Das Dokument ist urheberrechtlich geschützt. |
| Release Date: | 2017/04/20 |



