Publications by authors named "J PROVOST"

Acute exercise is linked to memory improvement. Several mediators may influence the effect of exercise such as the type of exercise (aerobic exercise, muscle stretching). The primary aim was to analyze memory outcomes after a 20-min bout of aerobic exercise or muscle stretching.

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Background: Haemodynamic changes occur in stroke and neurodegenerative diseases. Developing imaging techniques allowing the in vivo visualisation and quantification of cerebral blood flow would help better understand the underlying mechanism of these cerebrovascular diseases.

Methods: 3D ultrasound localization microscopy (ULM) is a recently developed technology that can map the microvasculature of the brain at large depth and has been mainly used until now in rodents.

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Tinsley, GM, Meyer, MK, Ptak, SM, Yu, D, Provost, JA, Hansen, NJ, and Carbuhn, AF. Body composition changes over a collegiate playing career in NCAA Division I women's soccer players. J Strength Cond Res 39(1): e40-e55, 2025-Although body composition is known to influence success in organized sport, the longitudinal body composition changes produced by sport specialization are not well characterized for women's soccer.

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Malate dehydrogenases (MDHs) have been extensively studied since the 1960s due to their key roles in carbon metabolism and pathways such as redox balance and lipid synthesis. Recently, there has been renewed interest in these enzymes with the discovery of their role in the metabolic changes that occur during cancer and a widespread community of undergraduate teaching laboratories addressing MDH research questions, the Malate Dehydrogenase CUREs Community (MCC). This special issue describes different facets of MDH, including its physiological role, its structure-function relationships, its regulation through post-translational modifications, and perspectives on its evolutionary history.

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Ultrasound Localization Microscopy (ULM) is a novel super-resolution imaging technique that can image the vasculature in vivo at depth with resolution far beyond the conventional limit of diffraction. By relying on the localization and tracking of clinically approved microbubbles injected in the blood stream, ULM can provide not only anatomical visualization but also hemodynamic quantification of the microvasculature of different tissues. Various deep-learning approaches have been proposed to address challenges in ULM including denoising, improving microbubble localization, estimating blood flow velocity or performing aberration correction.

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