Publications by authors named "M Rodriguez-Fernandez"
Wheat germ is a byproduct of the cereal industry that contains high levels of protein, fiber, B vitamins, minerals, and other functional microcomponents. However, so far, few applications have been found in the meat industry despite the growing interest in replacing meat with vegetable proteins. Therefore, the use of wheat germ for the production of low-fat frankfurters was considered.
View Article and Find Full Text PDFBackground: Outstanding exercise performance has been associated with an exacerbated vagal outflow. Nevertheless, during high-altitude hypobaric-hypoxia (HH), there is a baroreflex-dependent parasympathetic withdrawal and exercise performance deterioration. Notably, vagal control is pivotal in exercise performance, and exogenous oxytocin (OXY) administration has been shown to enhance parasympathetic drive; however, no evidence shows their role in exercise performance during HH.
View Article and Find Full Text PDFArticle Synopsis
- Functional MRI (fMRI) is often used to assess language function but can be inaccurate in patients with brain tumors due to cognitive issues and movement artifacts; gray matter volume (GMV) analysis offers a more stable alternative.
- This study analyzed MRI data from 22 healthy subjects and 28 patients with left-hemisphere tumors, exploring the link between GMV in language-specific brain regions and results from fMRI language lateralization tasks.
- Findings indicate that GMV in relevant brain areas is a strong predictor of language lateralization, with predictions achieving accuracy rates from 78% to 94%, suggesting that GMV analysis can enhance preoperative assessments for language function in complex cases.
Article Synopsis
- The study explores how deep neural networks (DNNs) can decode speech from brain activity, which could help individuals with speech disorders communicate.
- Researchers collected a large dataset of EEG recordings from 56 healthy participants to train multiple neural networks on identifying spoken sentences in Spanish.
- Results indicate that DNNs can accurately distinguish sentence identity and adapt to individual characteristics, proving effective across various approaches, with insights into neural processes contributing to language understanding.
Article Synopsis
- Understanding the complexities of cardiovascular control through the autonomic system is challenging, as shown by the ongoing debates around conditions like orthostatic intolerance.
- This study created a mathematical model to simulate the sympathetic control of the cardiovascular system, testing young women with varying responses to a head-up-tilt test and measuring their heart rate and blood pressure.
- The model successfully predicted blood pressure and flow dynamics, identifying seven key parameters that could serve as biomarkers for patient classification, highlighting the potential of computational methods in studying autonomic system pathologies.