Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data.

Serving as a channel for communication with locked-in patients or control of prostheses, sensorimotor brain-computer interfaces (BCIs) decode imaginary movements from the recorded activity of the user's brain. However, many individuals remain unable to control the BCI, and the underlying mechanisms are unclear. The user's BCI performance was previously shown to correlate with the resting-state signal-to-noise ratio (SNR) of the mu rhythm and the phase synchronization (PS) of the mu rhythm between sensorimotor areas.

MEAN: How Many Channels are Needed to Predict the Performance of a SMR-Based BCI?

Predicting whether a particular individual would reach an adequate control of a Brain-Computer Interface (BCI) has many practical advantages. On the one hand, participants with low predicted performance could be trained with specifically designed sessions and avoid frustrating experiments; on the other hand, planning time and resources would be more efficient; and finally, the variables related to an accurate prediction could be manipulated to improve the prospective BCI performance. To this end, several predictors have been proposed in the literature, most of them based on the power estimation of EEG signals at the specific frequency bands.

[Pharmacoeconomic evaluation of the efficacy of treating patients with duodenal ulcers].

High cost of medical care provided to the patients with duodenal ulcers requires improvement of treatment organization. This study is aimed at pharmacoeconomic evaluation of the efficacy of treating patients with duodenal ulcers. Two groups of patients were made up for the investigation.

[Supportive antisecretory therapy in preventing duodenal ulcer recurrence].

Different points of view on the need to conduct supportive acid-suppressive therapy gave rise to this study. The study is aimed at evaluating the influence of the individual supportive therapy based on the results of intragastric pH-monitoring on the incidence of duodenal ulcers. The study is based on a two-year observation of 90 patients with duodenal ulcers.