The effect of ketamine and D-cycloserine on the high frequency resting EEG spectrum in humans.

RATIONALE: Preclinical studies indicate that high-frequency oscillations, above 100 Hz (HFO:100-170 Hz), are a potential translatable biomarker for pharmacological studies, with the rapid acting antidepressant ketamine increasing both gamma (40-100 Hz) and HFO. OBJECTIVES: To assess the effect of the uncompetitive NMDA antagonist ketamine, and of D-cycloserine (DCS), which acts at the glycine site on NMDA receptors on HFO in humans. METHODS: We carried out a partially double-blind, 4-way crossover study in 24 healthy male volunteers. Each participant received an oral tablet and an intravenous infusion on each of four study days. The oral treatment was either DCS (250 mg or 1000 mg) or placebo. The infusion contained 0.5 mg/kg ketamine or saline placebo. The four study conditions were therefore placebo-placebo, 250 mg DCS-placebo, 1000 mg DCS-placebo, or placebo-ketamine. RESULTS: Compared with placebo, frontal midline HFO magnitude was increased by ketamine (p = 0.00014) and 1000 mg DCS (p = 0.013). Frontal gamma magnitude was also increased by both these treatments. However, at a midline parietal location, only HFO were increased by DCS, and not gamma, whilst ketamine increased both gamma and HFO at this location. Ketamine induced psychomimetic effects, as measured by the PSI scale, whereas DCS did not increase the total PSI score. The perceptual distortion subscale scores correlated with the posterior low gamma to frontal high beta ratio. CONCLUSIONS: Our results suggest that, at high doses, a partial NMDA agonist (DCS) has similar effects on fast neural oscillations as an NMDA antagonist (ketamine). As HFO were induced without psychomimetic effects, they may prove a useful drug development target.

[St. Mary's Thistle: an overview]. / Le Chardon Marie: un aperçu.

St. Marys Thistle has been approved for registration as a regular medicine in Belgium. The hepatotropic properties of this plant are rather difficult to evaluate objectively. Mortality rate in case of life-threatening hepatic diseases is the most objective parameter. Legalon is the only drug registered in Belgium. It has a prescription only status. The plant Silybum marianum is a thistle and as a consequence belongs to the Compositae. There is a limited production of St.-Marys Thistle in Pajottenland, west of Brussels. The seeds are exported to Italy in order to extract silymarine, a mixture of flavonolignanes with antioxidant properties. Silymarine has been tested in living animals deliberately intoxicated with mushroom toxins, medicines, heavy metals or toxic organic solvents. Preventive as well as curative activity has been confirmed. Silymarine accumulates in the liver, which is also the target organ in therapy. Silymarine improves the prognosis after accidental ingestion of the toxic Amanita phalloides. Patients infected with hepatitis B and C might benefit from Silymarine, but more data have to be generated. Silymarine given to patients with liver damages by alcohol lowers the death toll. The drug has a general safety pattern comparable to placebo.

Characteristics of cross-sectional atom probe analysis on semiconductor structures.

The laser-assisted Atom Probe has been proposed as a metrology tool for next generation semiconductor technologies requiring sub-nm spatial resolution. In order to assess its potential for the analysis of three-dimensional semiconductor structures like FinFETs, we have studied the Atom Probes lateral resolution on a silicon, silicon-germanium multilayer structure. We find that the interactions of the laser with the semiconductor materials in the sample distort the sample surface. This results in transient errors of the measured dimensions of the structure. The deformation of the sample furthermore leads to a degradation of the lateral resolution. In the experiments presented in this paper, the Atom Probe reaches a lateral resolution of 1-1.8 nm/decade. In this paper we will discuss the reasons for the distortions of the tip and demonstrate that with the present state of data reconstruction severe quantification errors limit its applicability for the quantitative analysis of heterogeneous semiconductor structures. Our experiments show that reconstruction algorithms taking into account the time dependent nanostructure of the tip shape are required to arrive at accurate results.

Unsupervised learning of overlapping image components using divisive input modulation.

This paper demonstrates that nonnegative matrix factorisation is mathematically related to a class of neural networks that employ negative feedback as a mechanism of competition. This observation inspires a novel learning algorithm which we call Divisive Input Modulation (DIM). The proposed algorithm provides a mathematically simple and computationally efficient method for the unsupervised learning of image components, even in conditions where these elementary features overlap considerably. To test the proposed algorithm, a novel artificial task is introduced which is similar to the frequently-used bars problem but employs squares rather than bars to increase the degree of overlap between components. Using this task, we investigate how the proposed method performs on the parsing of artificial images composed of overlapping features, given the correct representation of the individual components; and secondly, we investigate how well it can learn the elementary components from artificial training images. We compare the performance of the proposed algorithm with its predecessors including variations on these algorithms that have produced state-of-the-art performance on the bars problem. The proposed algorithm is more successful than its predecessors in dealing with overlap and occlusion in the artificial task that has been used to assess performance.