A Rare Case of Polymicrogyria in an Elderly Individual With Unique Polygenic Underlining.

Polymicrogyria (PMG) is the most common malformation of cortical development (MCD) and presents as an irregularly patterned cortical surface with numerous small gyri and shallow sulci leading to various neurological deficits including developmental delays, intellectual disability, epilepsy, and language and motor issues. The presentation of PMG varies and is often found in conjunction with other congenital anomalies. Histologically, PMG features an abnormal cortical structure and dyslamination, resulting in its classification as a defect of neuronal migration and organization.

Unveiling the power of high-dimensional cytometry data with cyCONDOR.

High-dimensional cytometry (HDC) is a powerful technology for studying single-cell phenotypes in complex biological systems. Although technological developments and affordability have made HDC broadly available in recent years, technological advances were not coupled with an adequate development of analytical methods that can take full advantage of the complex data generated. While several analytical platforms and bioinformatics tools have become available for the analysis of HDC data, these are either web-hosted with limited scalability or designed for expert computational biologists, making their use unapproachable for wet lab scientists.

A professional musician with progressive visuospatial concerns: a case study and review of musical alexia.

This case report presents the story of Mr. S, a professional orchestral musician with declining musical sight-reading ability, followed by progressive visuospatial and language deficits. Our novel musical assessment battery revealed deficits in music-reading (musical alexia) and music-writing (musical agraphia), with spared auditory perception and expression.

Digital Electrocardiographic Complex for Risk Stratification of Paroxysmal Atrial Fibrillation.

Unlabelled: was to develop and clinically test a hardware and software system capable of identifying the predictors of the hidden forms of atrial fibrillation (AF) using 12-lead ECG data in sinus rhythm.

Materials And Methods: There was developed the hardware and software system "Intecard 8.1" to assess a set of markers for atrial electrical instability by 3-5-minute ECG recordings in sinus rhythm.