Publications by authors named "Mohamed Aly Zahran"
Early postnatal development is a critical period for the configuration of neural networks that support social and affective-like behaviors. In this sense, children raised in stressful environments are at high risk to develop maladaptive behaviors immediately or later in life, including anti-social and aggressive behaviors. However, the neurobiological bases of such phenomena remain poorly understood.
View Article and Find Full Text PDFDeep learning-based scoring method of the three-chamber social behaviour test in a mouse model of alcohol intoxication. A comparative analysis of DeepLabCut, commercial automatic tracking and manual scoring.
Mohamed Aly Zahran Aroa Manas-Ojeda Mónica Navarro-Sánchez Esther Castillo-Gómez Francisco E Olucha-Bordonau
Heliyon
September 2024
Article Synopsis
- Alcohol withdrawal affects social behavior differently in male and female rodents, which can be measured using the three-chamber test; however, traditional automatic tracking methods often yield inaccurate results due to their inability to capture direct interactions.* -
- The study utilized DeepLabCut, an AI-based pose-estimation toolkit, to score social behavior in mice during alcohol withdrawal and demonstrated that it could detect significant social deficits in female mice, contrary to results from conventional automatic tracking methods like AnyMaze.* -
- Results indicated that DeepLabCut and manual scoring methods showed strong agreement and lower biases in analyzing social deficits during acute withdrawal, suggesting that this AI approach provides a more accurate assessment of social behavior compared to existing commercial tracking systems.*