Summary: A new study has used machine learning to identify the key predictors of physical activity adherence, analyzing data from nearly 12,000 individuals. The research found that time spent sitting, gender, and education level were the strongest indicators of whether someone met weekly exercise guidelines.By training models on lifestyle, demographic,...

Summary: A new study has identified the protein hnRNP A1 as a key player in the production and maintenance of myelin, the fatty sheath that insulates nerve fibers in the brain. Myelin loss is common in disorders like multiple sclerosis and schizophrenia, and this research shows that hnRNP A1 disruptions...

Summary: A new international study reveals a possible connection between GLP1 receptor agonists—used in drugs like Ozempic—and increased risk of depression and suicidal ideation, especially in people with low dopamine function. Researchers used advanced pharmacogenomic tools to identify genetic pathways that may be vulnerable to dopamine dysregulation when exposed to...

Summary: A new study reveals that upsetting distractions significantly impair our ability to sustain attention and also linger more strongly in memory. Researchers tested this by having participants perform a 10-minute visual attention task while emotionally charged images appeared in the background.Negative images, such as a crying baby, disrupted task...

Summary: A groundbreaking study used a brain-machine interface to explore how intentions, actions, and their outcomes are temporally linked in the human brain. By recording single-neuron activity from a paralyzed individual with implanted electrodes, researchers enabled intentional hand movement through machine-learning-driven muscle stimulation.The study found that when actions are intentional,...