Services for Science & Industry
A newer path to achieve your goal.
The averaging approaches and techniques which are now commonly used for the analysis and processing of biological data may not only mask the dynamics of potential EEG/MEG-effects, but also give rise to ambiguous data interpretations. Meanwhile, experiments and analytical work have established several important facts. Firstly, the ongoing(a.k.a. "spontaneous") EEG/MEG signal is characterized by a natural dynamics and a piecewise stationary structure (see the reviews Fingelkurts & Fingelkurts, 2004; Fingelkurts and Fingelkurts, 2001), and this should be taken into account. Secondly, it was found that the power variability of the main EEG spectral components for successive short (5-10 sec) EEG segments was in the range of 50-100% (Oken and Chiappa, 1988). Thirdly, it was shown (see the review Fingelkurts et al., 2003) that in terms of the EEG spectral variability, not only the stochastic fluctuations of the EEG parameters, but also a temporal structure of the signal can be observed. Thus, regardless of how powerful or statistically significant the different estimations of averaged EEG/MEG effects may be, there might be difficulties in making meaningful interpretations of these if they are not matched to the EEG/MEG piecewise stationary structure.
When analyzing your data, our scientific team may use newly developed and tested advanced methodological approaches for EEG/MEG micro-structural analysis which account the nonstationary nature of biological signals, do not contain averaging techniques and have special tests for non-random/non-occasional nature of the signal (see review Fingelkurts et al., 2005).
For fundamental science researchers:
If you have EEG/MEG data which you want to analyze by means of these approaches contact us. We'll analyze your data and quickly provide you with the results, based on negociated/pre-agreed terms.
For psychopharmacology professionals:
The possibility of detecting drug effects on specific CNS-functions depends on the EEG/MEG parameters chosen. These parameters should consider the non-stationary nature of EEG signal. We can provide you with validated sensitive approaches (Fingelkurts et al., 2004a ;Fingelkurts et al., 2004b ;for the review see Fingelkurts et al., 2005) .
If you are developing a new psychotropic drug or wish to test an old psychotropic drug in order to find its new functions/effects contact us. We'll analyze your data and provide you with the results.
For science/medical industry professionals:
Creation of new tools and indices for science and medicine demands understanding of integrative, nonstationary and self-organized nature of biological processes. We suggest you to share our scientific knowledge to achieve your goals. We may develop, test or use a new approach, tool or index for you, independently or in a partnership.
