Characterization of RAP Signal Patterns, Temporal Relationships, and Artifact Profiles Derived from Intracranial Pressure Sensors in Acute Traumatic Neural Injury.

Goal: Current methodologies for assessing cerebral compliance using pressure sensor technologies are prone to errors and issues with inter- and intra-observer consistency. RAP, a metric for measuring intracranial compensatory reserve (and therefore compliance), holds promise. It is derived using the moving correlation between intracranial pressure (ICP) and the pulse amplitude of ICP (AMP).

Implementation of ORBEYE-Exoscope in the Operative Treatment of Spinal Dural Arteriovenous Fistula.

Spinal dural arteriovenous fistulas (sDAVFs) are rather uncommon lesions of the spine. In sDAVFs, which represent the most frequent form of vascular malformations of the spine, operative treatment remains the most common treatment modality. In operative surgery, visualization and pathology detection have a key impact on the results of the neurosurgical treatment of an sDAVF.

Herpesviruses mimic zygotic genome activation to promote viral replication.

Zygotic genome activation (ZGA) is crucial for maternal to zygotic transition at the 2-8-cell stage in order to overcome silencing of genes and enable transcription from the zygotic genome. In humans, ZGA is induced by DUX4, a pioneer factor that drives expression of downstream germline-specific genes and retroelements. Here we show that herpesviruses from all subfamilies, papillomaviruses and Merkel cell polyomavirus actively induce DUX4 expression to promote viral transcription and replication.

Jargon and Readability in Plain Language Summaries of Health Research: Cross-Sectional Observational Study.

Background: The idea of making science more accessible to nonscientists has prompted health researchers to involve patients and the public more actively in their research. This sometimes involves writing a plain language summary (PLS), a short summary intended to make research findings accessible to nonspecialists. However, whether PLSs satisfy the basic requirements of accessible language is unclear.

Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies.

Monitoring cerebral oxygenation and metabolism, using a combination of invasive and non-invasive sensors, is vital due to frequent disruptions in hemodynamic regulation across various diseases. These sensors generate continuous high-frequency data streams, including intracranial pressure (ICP) and cerebral perfusion pressure (CPP), providing real-time insights into cerebral function. Analyzing these signals is crucial for understanding complex brain processes, identifying subtle patterns, and detecting anomalies.