3,4-Methlylenedioxymethamphetamine (MDMA) administration (4 x 15 mg/kg) on a single day has been shown to cause path integration deficits in rats. While most animal experiments focus on single binge-type models of MDMA use, many MDMA users take the drug on a recurring basis. The purpose of this study was to compare the effects of repeated single-day treatments with MDMA (4 x 15 mg/kg) once weekly for 5 weeks to animals that only received MDMA on week 5 and saline on weeks 1-4. In animals treated with MDMA for 5 weeks, there was an increase in time spent in the open area of the elevated zero maze suggesting a decrease in anxiety or increase in impulsivity compared to the animals given MDMA for 1 week and saline treated controls. Regardless of dosing regimen, MDMA treatment produced path integration deficits as evidenced by an increase in latency to find the goal in the Cincinnati water maze. Animals treated with MDMA also showed a transient hypoactivity that was not present when the animals were re-tested at the end of cognitive testing. In addition, both MDMA-treated groups showed comparable hyperactive responses to a later methamphetamine challenge. No differences were observed in spatial learning in the Morris water maze during acquisition or reversal but MDMA-related deficits were seen on reduced platform-size trials. Taken together, the data show that a single-day regimen of MDMA induces deficits similar to that of multiple weekly treatments.
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http://dx.doi.org/10.1016/j.neuropharm.2008.07.006 | DOI Listing |
PLoS Comput Biol
January 2025
Department of Biomedical Informatics, University of Colorado Anschutz School of Medicine, Aurora, Colorado, United States of America.
While single-cell experiments provide deep cellular resolution within a single sample, some single-cell experiments are inherently more challenging than bulk experiments due to dissociation difficulties, cost, or limited tissue availability. This creates a situation where we have deep cellular profiles of one sample or condition, and bulk profiles across multiple samples and conditions. To bridge this gap, we propose BuDDI (BUlk Deconvolution with Domain Invariance).
View Article and Find Full Text PDFPLoS One
January 2025
Business School, Huaqiao University, Quanzhou, Fujian, China.
Global climate change has become one of the most large-scale, widespread, and far-reaching challenges facing mankind. Against this background, China has proposed a "dual-carbon" target in 2020, which greatly demonstrates China's determination and commitment to carbon emission reduction, and the burden of realizing the "dual-carbon" target is mainly borne by heavy polluters. The burden of achieving the "dual-carbon" goal is mainly borne by the heavily polluting firms.
View Article and Find Full Text PDFSleep Breath
January 2025
Department of Health Research Methods, Evidence and Impact (HEI), McMaster University, Hamilton, ON, Canada.
Purpose: A high proportion of obstructive sleep apnea (OSA) remains undiagnosed. The main objectives of this study were to measure the prevalence of diagnosed OSA and determine OSA predictors in patients who underwent bariatric surgery, who are predominantly female and pre-menopausal and represent an understudied population in OSA literature.
Methods: This was a cross-sectional population-based study using the Ontario Bariatric Registry (OBR) from 2010 to 2016, linked to ICES databases which include health administrative data on all encounters within a single public-payer system.
PLoS One
January 2025
Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Diriyah, Riyadh, Saudi Arabia.
Reinforcement learning is a remarkable aspect of the artificial intelligence field with many applications. Reinforcement learning facilitates learning new tasks based on action and reward principles. Motion planning addresses the navigation problem for robots.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Community Health, Institute for Connected Communities, University of East London, London, UK.
Background: Social prescribing inherently embodies a co-productive nature, particularly within the 'holistic' model facilitated by the pivotal role of Link Workers. Most attention is focused on collecting evidence about the micro-level relationship between Link Workers and their clients. However, little is known about how this co-productive relationship influences or is influenced by value co-creation at different levels, given the involvement of multiple actors in delivering the intervention.
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