Simultaneous activation of different subtypes of dopamine receptors may lead to activation of homeostatic sleep regulatory mechanisms.

Dopaminergic system gains importance in homeostatic sleep regulation, but the role of different dopamine receptors is not well-defined. 72 h rat electrocorticogram and sleep recordings were made after single application of dopaminergic drugs in clinical use or at least underwent clinical trials. The non-selective agonist apomorphine evoked short pharmacological sleep deprivation with intense wakefulness followed by pronounced sleep rebound.

The Two-Spin Enigma: From the Helium Atom to Quantum Ontology.

The purpose of this article is to provide a novel approach and justification of the idea that classical physics and quantum physics can neither function nor even be conceived without the other-in line with ideas attributed to, e.g., Niels Bohr or Lev Landau.

[The usefulness of therapeutic drug monitoring during treatment with second-generation antidepressants].

Background: Although there is clear evidence that therapeutic drug monitoring (TDM) has beneficial effects for patients treated with tricyclic antidepressants, it is generally not recommended for second-generation antidepressants (SGA). However, it has been suggested that methodological shortcomings might influence the results in TDM studies with SGA.

Aim: A qualitative assessment of randomized controlled trials (RCTs) that specifically investigated drug concentration-effect relationships of SGA in patients with major depressive disorder (MDD) to analyze the potential benefit of TDM during treatment with these agents.

Very late onset narcolepsy type 1: a case report and review of the literature.

Narcolepsy type 1 (NT1) is a clinical syndrome defined by recurrent episodes of excessive daytime sleepiness (EDS), episodes of cataplexy, hypnagogic hallucinations, and sleep paralysis. Symptoms typically manifest in the second or third decade with another small peak in the fourth decade. In this report we describe the case of a 64-year-old woman presenting with new-onset visual hallucinations as the main complaint.

Automated remote sleep monitoring needs uncertainty quantification.

Wearable electroencephalography devices emerge as a cost-effective and ergonomic alternative to gold-standard polysomnography, paving the way for better health monitoring and sleep disorder screening. Machine learning allows to automate sleep stage classification, but trust and reliability issues have hampered its adoption in clinical applications. Estimating uncertainty is a crucial factor in enhancing reliability by identifying regions of heightened and diminished confidence.