Individual differences in responses to a novel environment are an important tool to predict predisposition to neuropsychiatric disorders. One way to examine individual differences involves classifying animals based on locomotion in a novel context. In this study we focused on individual and sex differences by categorizing female and male mice as high (HR) or low responders (LR) on the basis of open field locomotion. We then assessed whether groups differed on behavioral measures of spontaneous alternations, anxiety, depression and contextual fear conditioning. In the Y-maze, we observed no differences across HR/LR or sex on spontaneous alternations, but HR displayed more locomotion. HR male mice showed less anxiety-like behavior in the light-dark test but not the elevated plus maze. We observed no differences in the forced swim test across HR/LR, although males exhibited greater depression-like behavior overall. HR mice exhibited less contextual fear memory compared to LR regardless of sex. Principal component analyses suggested sex-specific patterns of behaviors across tests, with female responses within individual tests tending to load together. In females anxiety- and depression-like behaviors explained a large part of the variance observed across tests in our battery, whereas male behavior was primarily explained by variables related to locomotion.
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http://dx.doi.org/10.1016/j.beproc.2017.01.006 | DOI Listing |
NPJ Digit Med
January 2025
Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
The 12-lead electrocardiogram (ECG) is inexpensive and widely available. Whether conditions across the human disease landscape can be detected using the ECG is unclear. We developed a deep learning denoising autoencoder and systematically evaluated associations between ECG encodings and ~1,600 Phecode-based diseases in three datasets separate from model development, and meta-analyzed the results.
View Article and Find Full Text PDFMAGMA
January 2025
Aix Marseille Univ, CNRS, CRMBM, Marseille, France.
Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness in this field. However, the impact of reducing neural network complexity remains unexplored in the FF quantification in individual muscles.
View Article and Find Full Text PDFJ Prev (2022)
January 2025
Faculty of Health Sciences, Valencian International University, Pintor Sorolla 21, 46002, Valencia, Spain.
Chemsex is a specific practice of sexualized drug use (SDU), linked mainly to the group of men who have sex with men (MSM). This practice has become a public health problem due to the increase in sexually transmitted infections and HIV. However, there are groups and aspects that require greater visibility and research.
View Article and Find Full Text PDFIntroduction: Transgender individuals may face familial and social hostility, leading to distress that significantly affects their well-being. This study aims to understand life course challenges experienced by transgender people since childhood.
Method: Cross-sectional study, including 20 transgender people.
J Dance Med Sci
January 2025
School of Life Sciences, Pharmacy, and Chemistry, Kingston University, Kingston, UK.
There is currently little research relating specifically to the muscular strength and endurance requirements of the upper body such as lifts at varying heights, ground floor contact with the hands and inversions such as handstands. Enhanced understanding of muscular demands can inform training program design to build physical tolerance to meet the demand of the activity. The aim of this study was to ascertain the frequency of upper body muscular skills in contemporary and ballet dance performance.
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