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Synergetic concepts allow to identify emergent coordination phenomena between interacting physiological systems, for example between the cutaneous microcirculation, the sympathetic nervous system and the cardiac and pulmonary systems. The temporal patterns (oscillations of various frequencies) that are found in the data obtained with laser-Doppler anemometers (LDA; e.g. Periflux 2 used in the study) can be investigated by simultaneous recording of photoplethysmographic data obtained in the identical region of interest, as well as in cutaneous regions treated with vasoparalytic procedures which permit to record the dynamics of the arterial system. These strategies were applied to studies in the cutaneous microcirculation (volar side of the index fingers) as well as to mucosal microcirculation (maxillar gingiva) in healthy subjects and in patients suffering from autonomic dysfunction (cutaneous microcirculation) or gingivitis. By this procedure, it could be corroborated that – contrary to popular notions – the temporal fluctuations in the LDA records do not necessarily reflect myogenic vasomotion, but can have multiple causes. In a confirming recent study [Schmid-Schönbein et al., J Auton Nerv Syst, 57, 136-140, 1996], we have demonstrated that the LDA fluctuations under conditions of normal ambient temperature and hand position most likely reflect neurogenic vasoconstriction. Under exceptional conditions, different patterns emerge. Prolonged exposure to ambient temperature (18°C) leads to marked vasoconstriction, with occasional vasodilator escape (‘miniature hunting reaction’). Normal subjects under gravitational load and in warm environment (28°C ambient) silence their neurogenetic vasoconstriction reactions, which allows sinusoidal vasomotion to dominate. A similar phenomenon is seen in neuropathic patients at 21-24°C (presumably due to structural defects). Fluctuations in LDA signal taken from the healthy gingiva are entrained to arterial, those taken from inflamed gingiva to respiratory activity. The theory and practice of nonlinear analysis is discussed, and data compression procedures allowing to portray characteristic temporal patterns for future diagnostic procedures are presented.

The temporal dynamics of the systemic arterial pressure can be monitored non-invasively from the skin of the earlobe or forehead by photoplethysmography under the provision that the active control of the microcirculatory perfusion is eliminated. Using this approach, we have been able to detect a highly stable blood pressure rhythm in the range of 0.15 Hz during psychophysical relaxation or sleep. The aim of the present study was to investigate the occurrence and behavior of blood pressure rhythms below 0.2 Hz during general anesthesia. In 30 patients (ASA groups I–II) undergoing basic surgical procedures, photoplethysmographic recordings from the earlobe were made during the whole time of anesthesia. The recorded signals were divided into segments of 200 s of duration, the temporal structure of which was analyzed by fast Fourier transform. Different characteristic patterns of rhythmical behavior were detected: (1) absence of activity below 0.2 Hz (‘low-frequency range’); (2) slow sinusoidal rhythmicity below 0.05 Hz; (3) ‘chaotic’ behavior, i.e. multiple incoherent fluctuations without stationary periods or amplitudes; (4) short-term rhythmical activity at about 0.15 Hz, and (5) long-term rhythmical activity at about 0.15 Hz. In patients sufficiently sedated to eliminate low-frequency activity, rhythmicity could sometimes be triggered by certain surgical stimuli, the response to which was suppressed by injection of opioids. The data presented strongly suggest that rhythmical perfusion patterns of the cutaneous microcirculation could serve as an indicator for the depth of anesthesia.

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