Pallidal Spike-Train Variability and Randomness Are the Most Important Signatures to Classify Parkinson's Disease and Cervical Dystonia.

Movement disorders such as Parkinson's disease (PD) and cervical dystonia (CD) are associated with abnormal neuronal activity in the globus pallidus internus (GPi). Reduced firing rate and presence of spiking bursts are typical for CD, whereas PD is characterized by high frequency tonic activity. This research aims to identify the most important pallidal spiking parameters to classify these conditions.

Neuronal activity features of the subthalamic nucleus associated with optimal deep brain stimulation electrode insertion path in Parkinson's disease.

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is a standard treatment for advanced Parkinson's disease (PD). The precise positioning of the electrode can significantly influence the results of DBS and the overall improvement in the quality of life for PD patients receiving this therapy. We hypothesize that single unit activity (SUA) features can serve as a valid marker of the optimal DBS-electrode insertion trajectory, leading to the most favorable outcome of STN-DBS surgery.

Staging Heart Failure with Preserved Ejection Fraction by Assessing Cardiac Chamber Involvement.

The management of heart failure with preserved ejection fraction (HFpEF) remains largely unresolved due to our limited understanding of the underlying mechanisms of the pathology and the challenges in accurately phenotyping this heterogeneous syndrome. A paradigm shift is required to personalise care and unify our approaches to HFpEF patients for future clinical trials. Accordingly, we propose a staging classification for HFpEF based on the identification of the involved cardiac chambers by echocardiography.

Morphology and Phase Compositions of FePt and CoPt Nanoparticles Enriched with Noble Metal.

The article reveals for the first time the features of nanoparticle morphology, phase compositions, and their changes when heating FePt and CoPt nanoalloys. Nanoparticles were obtained by co-reduction of precursor solution mixtures with hydrazine hydrate. The features were found by a complex of methods of X-ray diffraction (in situ XRD and X-ray scattering), TEM HR, and cyclic voltammetry.