The randomized clinical trial results of the anxiety treatment in patients with somatoform dysfunction and neurotic disorders.

The existing treatments for somatoform dysfunction (SfD), reaction to severe stress (RSS), and adjustment disorders (AjD) are insufficiently effective and safe. Anxiolytic drug Tenoten proved effective in clinical trials (CT). The aim of this multicenter double-blind placebo-controlled randomized CT was to investigate the safety and efficacy of Tenoten in the treatment of anxiety in adults with SfD, RSS, AjD and other neurotic disorders (oNDs). 390 adult patients with SfD, RSS and AjD or oNDs with the Hospital Anxiety and Depression scale-anxiety (HADS-A) score ≥ 11 were randomized into 4 groups (n = 127 in Tenoten group 1 (4 tablets/day); n = 131 in Tenoten group 3 (8 tablets/day), n = 132 in combined Placebo group 2 + 4). The changes from baseline in the mean Hamilton Anxiety Rating Scale (HAM-A) score in groups 1 and 3 after 12 weeks were the primary outcome. The decrease of the HAM-A score from 18.81 ± 5.81 to 7.26 ± 4.63 (in group 1) and from 18.38 ± 4.3 to 6.40 ± 4.02 (in group 3) was observed post-treatment (pgroup 1/placebo = 0.0055, pgroup 3/placebo < 0.0001). Overall, 46 adverse events (28 in the Tenoten groups and 18 in the Placebo) were reported without any difference between the study groups. Tenoten performed significantly more effective than placebo in the anxiety treatment of adults with SfD, RSS, AjD and oNDs (clinicaltrials.gov NCT03036293).

Wavelet skeletons in sleep EEG-monitoring as biomarkers of early diagnostics of mild cognitive impairment.

Many neuro-degenerative diseases are difficult to diagnose in their early stages. For example, early diagnosis of Mild Cognitive Impairment (MCI) requires a wide variety of tests to distinguish MCI symptoms and normal consequences of aging. In this article, we use the wavelet-skeleton approach to find some characteristic patterns in the electroencephalograms (EEGs) of healthy adult patients and patients with cognitive dysfunctions. We analyze the EEG activity recorded during natural sleep of 11 elderly patients aged between 60 and 75, six of whom have mild cognitive impairment, and apply a nonlinear analysis method based on continuous wavelet transformskeletons. Our studies show that a comprehensive analysis of EEG signals of the entire sleep state allows us to identify a significant decrease in the average duration of oscillatory patterns in the frequency band [12; 14] Hz in the presence of mild cognitive impairment. Thus, the changes in this frequency range can be interpreted as related to the activity in the motor cortex, as a candidate for developing the criteria for early objective MCI.