Statistical algorithms for emotion classification via functional connectivity.

Pattern recognition algorithms decode emotional brain states by using functional connectivity measures which are extracted from EEG signals as input to the statistical classifiers. An open-access EEG dataset for emotional state analysis is used to classify two dominant emotional models, based on valence and arousal. To calculate the functional connectivity between all available pairs of EEG electrodes four different measures, including Pearson's correlation coefficient, phase-locking value, mutual information, and magnitude square coherence estimation, were used.

The effect of ultrasound on the expression of CNTF gene, a possible cause of ultrasound influence on the rate of injured peripheral nerve regeneration.

In this article we evaluate the effects of ultrasound radiation and its causes on the rate of injured peripheral nerve regeneration by crushing the sciatic nerve of rats with hemostatic forceps. The rats were divided into three test and one control groups. The test groups were radiated using three different types of ultrasound parameters while the control group just received sham expose.