Oxytocin-mediated social preference and socially reinforced reward learning in the miniature fish Danionella cerebrum.

Integrative studies of diverse neuronal networks that govern social behavior are hindered by a lack of methods to record neural activity comprehensively across the entire brain. The recent development of the miniature fish Danionella cerebrum as a model organism offers one potential solution, as the small size and optical transparency of these animals make it possible to visualize circuit activity throughout the nervous system. Here, we establish the feasibility of using Danionella as a model for social behavior and socially reinforced learning by showing that adult fish exhibit strong affiliative tendencies and that social interactions can serve as the reinforcer in an appetitive conditioning paradigm.

Effect duration of a self-applied talocrural joint mobilization on restricted dorsiflexion: a repeated measures design.

Objectives: We aimed to determine the effect duration of a talocrural mobilization on individuals with restricted dorsiflexion during a static weight bearing lunge test (WBLT) and dynamic 3D motion capture-based peak ankle dorsiflexion during a forward step down (FSD) task. Secondarily, we aimed to correlate any immediate changes in ankle mobility with concurrent changes in proximal joint kinematics during the FSD post-mobilization.

Methods: Seventy-six individuals were screened for dorsiflexion restriction, of which 26 (15 females, 22.

Automated Assessment of Right Atrial Pressure From Ultrasound Videos Using Machine Learning.

Background: Early recognition of volume overload is essential for heart failure patients. Volume overload can often be easily treated if caught early but causes significant morbidity if unrecognized and allowed to progress. Intravascular volume status can be assessed by ultrasound-based estimation of right atrial pressure (RAP), but the availability of this diagnostic modality is limited by the need for experienced physicians to accurately interpret these scans.

Genetics of Cardiac Aging Implicate Organ-Specific Variation.

Heart structure and function change with age, and the notion that the heart may age faster for some individuals than for others has driven interest in estimating cardiac age acceleration. However, current approaches have limited feature richness (heart measurements; radiomics) or capture extraneous data and therefore lack cardiac specificity (deep learning [DL] on unmasked chest MRI). These technical limitations have been a barrier to efforts to understand genetic contributions to age acceleration.