Testing a Home Solution for Preparing Young Children for an Awake MRI: A Promising Smartphone Application.

Thanks to its non-invasive nature and high-resolution imaging capabilities, magnetic resonance imaging (MRI) is a valuable diagnostic tool for pediatric patients. However, the fear and anxiety experienced by young children during MRI scans often result in suboptimal image quality and the need for sedation/anesthesia. This study aimed to evaluate the effect of a smartphone application called COSMO@home to prepare children for MRI scans to reduce the need for sedation or general anesthesia. The COSMO@home app was developed incorporating mini-games and an engaging storyline to prepare children for learning goals related to the MRI procedure. A multicenter study was conducted involving four hospitals in Belgium. Eligible children aged 4-10 years were prepared with the COSMO@home app at home. Baseline, pre-scan, and post-scan questionnaires measured anxiety evolution in two age groups (4-6 years and 7-10 years). Eighty-two children participated in the study, with 95% obtaining high-quality MRI images. The app was well-received by children and parents, with minimal technical difficulties reported. In the 4-6-year-old group (N = 33), there was a significant difference between baseline and pre-scan parent-reported anxiety scores, indicating an increase in anxiety levels prior to the scan. In the 7-10-year-old group (N = 49), no significant differences were observed between baseline and pre-scan parent-reported anxiety scores. Overall, the COSMO@home app proved to be useful in preparing children for MRI scans, with high satisfaction rates and successful image outcomes across different hospitals. The app, combined with minimal face-to-face guidance on the day of the scan, showed the potential to replace or assist traditional face-to-face training methods. This innovative approach has the potential to reduce the need for sedation or general anesthesia during pediatric MRI scans and its associated risks and improve patient experience.

A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila.

Isolation profoundly influences social behavior in all animals. In humans, isolation has serious effects on health. Drosophila melanogaster is a powerful model to study small-scale, temporally-transient social behavior. However, longer-term analysis of large groups of flies is hampered by the lack of effective and reliable tools. We built a new imaging arena and improved the existing tracking algorithm to reliably follow a large number of flies simultaneously. Next, based on the automatic classification of touch and graph-based social network analysis, we designed an algorithm to quantify changes in the social network in response to prior social isolation. We observed that isolation significantly and swiftly enhanced individual and local social network parameters depicting near-neighbor relationships. We explored the genome-wide molecular correlates of these behavioral changes and found that whereas behavior changed throughout the six days of isolation, gene expression alterations occurred largely on day one. These changes occurred mostly in metabolic genes, and we verified the metabolic changes by showing an increase of lipid content in isolated flies. In summary, we describe a highly reliable tracking and analysis pipeline for large groups of flies that we use to unravel the behavioral, molecular and physiological impact of isolation on social network dynamics in Drosophila.

Automated analysis of contractility in the embryonic stem cell test, a novel approach to assess embryotoxicity.

The embryonic stem cell test (EST) is an ECVAM-validated assay to detect embryotoxicity. The output of the assay is the effect of test compounds on the differentiation of murine-derived embryonic stem cells (D3 cells), recorded by visual analysis of contracting cardiomyocyte-like cells. Incorporation of a system to assess the contractility in an automated manner is proposed, to increase the throughput in the EST independent of observer bias. The automated system is based on image recording of each well, resulting in the area (pixels) and frequency of contractility (Hz). Four test compounds were assessed for their embryotoxic potency in the 96-well version of the EST, with both manual and automated analysis: 6-Aminonicotinamide, Valproic Acid, Boric Acid, and Penicillin G. There was no statistically significant difference in the outcome of both methods in the fraction of contractility (p<0.05), resulting in the same rank-order of Relative Embryotoxic Potency (REP) values: 6-aminonicotinamide (1)>valproic acid (0.007-0.013)>Boric Acid (0.002-0.005)>Penicillin G (0.00001). The automated image recording of contractile cardiomyocyte-like cells in the EST allows for an unbiased high throughput method to assess the embryotoxic potency of test compounds, resulting in an outcome comparable to manual analysis.