Imaging EEG synchronization in schizophrenia patients with S-estimator

Recently a new measure of the cooperative behavior of simultaneous time series was introduced (Carmeli et al. NeuroImage 2005). This measure called S-estimator is defined from the embedding dimension in a state space. S-estimator quantifies the amount of synchronization within a data set by comparing the actual dimensionality of the set with the expected full dimensionality of the asynchronous set. It has the advantage of being a multivariate measure over traditionally used in systems neuroscience bivariate measures of synchronization. Multivariate measures of synchronization are of particular interest for applications in the field of modern multichannel EEG research, since they easily allow mapping of local and/or regional synchronization and are compatible with other imaging techniques. We applied Sestimator to the analysis of EEG synchronization in schizophrenia patients vs. matched controls. The whole-head mapping with S-estimator revealed a specific pattern of local synchronization in schizophrenia patients. The differences in the landscape of synchronization included decreased local synchronization in the territories over occipital and midline areas and increased synchronization over temporal areas. In frontal areas, the S-estimator revealed a tendency for an asymmetry: decreased S-values over the left hemisphere were adjacent to increased values over the right hemisphere. Separate calculations showed reproducibility of this pattern across the main EEG frequency bands. The maintenance of the same synchronization landscape across EEG frequencies probably implies the structural changes in the cortical circuitry of schizophrenia patients. These changes are regionally specific and suggest that schizophrenia is a misconnectivity rather than hypo- or hyper-connectivity disorder.

Bladder cancer documentation of causes: multilingual questionnaire, 'bladder cancer doc'

There is a considerable discrepancy between the number of identified occupational-related bladder cancer cases and the estimated numbers particularly in emerging nations or less developed countries where suitable approaches are less or even not known. Thus, within a project of the World Health Organisation Collaborating Centres in Occupational Health, a questionnaire of the Dortmund group, applied in different studies, was translated into more than 30 languages (Afrikaans, Arabic, Bengali, Chinese, Czech, Dutch, English, Finnish, French, Georgian, German, Greek, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Kazakh, Kirghiz, Korean, Latvian, Malay, Persian (Farsi), Polish, Portuguese, Portuguese/Brazilian, Romanian, Russian, Serbo-Croatian, Slovak, Spanish, Spanish/Mexican, Tamil, Telugu, Thai, Turkish, Urdu, Vietnamese). The bipartite questionnaire asks for relevant medical information in the physician's part and for the occupational history since leaving school in the patient's part. Furthermore, this questionnaire is asking for intensity and frequency of certain occupational and non-occupational risk factors. The literature regarding occupations like painter, hairdresser or miner and exposures like carcinogenic aromatic amines, azo dyes, or combustion products is highlighted. The questionnaire is available on www.ifado.de/BladderCancerDoc.

The effects of dominance, regular inbreeding and sampling design on Q(ST), an estimator of population differentiation for quantitative traits.

To test whether quantitative traits are under directional or homogenizing selection, it is common practice to compare population differentiation estimates at molecular markers (F(ST)) and quantitative traits (Q(ST)). If the trait is neutral and its determinism is additive, then theory predicts that Q(ST) = F(ST), while Q(ST) > F(ST) is predicted under directional selection for different local optima, and Q(ST) < F(ST) is predicted under homogenizing selection. However, nonadditive effects can alter these predictions. Here, we investigate the influence of dominance on the relation between Q(ST) and F(ST) for neutral traits. Using analytical results and computer simulations, we show that dominance generally deflates Q(ST) relative to F(ST). Under inbreeding, the effect of dominance vanishes, and we show that for selfing species, a better estimate of Q(ST) is obtained from selfed families than from half-sib families. We also compare several sampling designs and find that it is always best to sample many populations (>20) with few families (five) rather than few populations with many families. Provided that estimates of Q(ST) are derived from individuals originating from many populations, we conclude that the pattern Q(ST) > F(ST), and hence the inference of directional selection for different local optima, is robust to the effect of nonadditive gene actions.