Best practice & research. Clinical anaesthesiology
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Best Pract Res Clin Anaesthesiol · Mar 2006
ReviewConcepts of EEG processing: from power spectrum to bispectrum, fractals, entropies and all that.
Over the past two decades, methods of processing the EEG for monitoring anaesthesia have greatly expanded. Whereas power spectral analysis was once the most important tool for extracting EEG monitoring variables, higher-order spectra, wavelet decomposition and especially methods used in the analysis of complex dynamical systems such as non-linear dissipative systems are nowadays attracting much attention. This chapter reviews some of these methods in brief. However, a comparison of some of the newer approaches with the more traditional ones with respect to clinical end-points by association measures and to the signal-to-noise ratio raises some doubt over whether the newer EEG-processing techniques really do better than the more traditional ones.
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The SNAP electroencephalogram (EEG) monitor, described as an interesting, innovative EEG tool that samples raw EEG signals and uses its own unique algorithm, analyses both high- (80-420 Hz) and low- (0-20 Hz) frequency components of the signal. This is termed the SNAP index, and it ranges from 100 (arbitrarily representing the fully awake state) to 0 to provide functional data points for patient management. ⋯ Compared with other EEG devices, there is no evidence that SNAP is superior to others in generating more specific information about 'depth of sedation'. Moreover, the influence of high-frequency electromyographic activity on the SNAP needs to be clarified.
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Best Pract Res Clin Anaesthesiol · Mar 2006
ReviewClassic electroencephalographic parameters: median frequency, spectral edge frequency etc.
Even today many anaesthesiologists rely on parameters of the autonomic nervous system, such as blood pressure and heart rate to decide if a patient is adequately anaesthetized. It is thought that the electroencephalogram (EEG) may provide more information on the state of anaesthesia. Because full EEG analysis is not possible in the operating room, processed EEG parameters have been developed comprising complex information into a single value. ⋯ This biphasic response makes it difficult to clearly distinguish the exact anaesthetic state of a patient. Median frequency and spectral edge frequency have been studied in numerous studies. However, no sole indicator has been derived from the EEG that could serve as a descriptor of anaesthetic depth.
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This paper reviews a theory on the physiological conditions of consciousness. The theory consists of four hypotheses: (1) The occurrence of states of consciousness depends on the formation of higher-order representations that represent the internal state of the brain itself. (2) Higher-order representations are instantiated by the spatio-temporal activity pattern of large-scale neuronal assemblies. (3) The N-methyl-D-aspartate (NMDA) synapse plays a crucial role in the generation of conscious states by implementing the binding mechanism that the brain uses to produce large-scale assemblies. (4) The activation state of the NMDA receptor determines the rate at which representational structures can be built up. Unconsciousness or altered states of consciousness occur if, and only if, NMDA-dependent binding processes are inhibited.