EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data.

Functional magnetic resonance imaging (fMRI) of the spinal cord is relevant for studying sensation, movement, and autonomic function. Preprocessing of spinal cord fMRI data involves segmentation of the spinal cord on gradient-echo echo planar imaging (EPI) images. Current automated segmentation methods do not work well on these data, due to the low spatial resolution, susceptibility artifacts causing distortions and signal drop-out, ghosting, and motion-related artifacts.

Expedited Conveyance of Out-of-Hospital-Cardiac Arrest patients with STEMI and shockable rhythms to Cardiac Arrest Centres - A Feasibility Pilot Study of the British Cardiovascular Intervention Society conveyance algorithm.

Background And Aims: Guidelines suggest non-traumatic out-of-hospital cardiac arrest (OHCA) be conveyed to cardiac arrest centres (CAC). We hypothesised that (a) a pre-hospital conveyance algorithm based on initial presenting rhythm following OHCA is feasible and (b) that would demonstrate survival advantage.

Methods: This observational pilot study included all consecutive patients with OHCA from suspected cardiac aetiology from the county of Essex, United Kingdom from April 2022-April 2023.

Awake prone positioning effectiveness in moderate to severe COVID-19 a randomized controlled trial.

Background: Awake prone positioning (APP) may be beneficial in patients with respiratory failure who are not receiving mechanical ventilation. Randomized controlled trials of APP have been performed during peak COVID-19 periods in unvaccinated populations, with limited data on compliance or patient acceptability. We aimed to evaluate the efficacy and acceptability of APP in a lower-middle income country in an open-label randomized controlled trial using a dedicated APP implementation team and wearable continuous-monitoring devices.

Optimization of MR-ARFI for Human Transcranial Focused Ultrasound.

Magnetic resonance acoustic radiation force imaging (MR-ARFI) is an exceptionally promising technique to non-invasively confirm targeting accuracy and estimate exposure of low-intensity transcranial focused ultrasound stimulation. MR-ARFI uses magnetic field motion encoding gradients to visualize the MR phase changes generated by microscopic displacements at the ultrasound focus. Implementing MR-ARFI in the human central nervous system has been hindered by 1) phase distortion caused by subject motion, and 2) insufficient signal-to-noise ratio at low (<1.

Thinking on your feet: potentially enhancing phylogenetic tree learning accessibility through a kinaesthetic approach.

Background: Phylogenetics is one of the main methodologies to understand cross-cutting principles of evolution, such as common ancestry and speciation. Phylogenetic trees, however, are reportedly challenging to teach and learn. Furthermore, phylogenetics teaching methods traditionally rely solely on visual information, creating inaccessibility for people with visual impairment.