Month: February 2023

Editorial: Machine learning methods for human brain imaging

Imagine if scientists had a magical microscope that could zoom in on your brain and see exactly what you’re thinking. While we don’t have that exactly, we do have something pretty close: machine learning. Researchers are using machine learning methods to analyze human brain imaging data, helping them understand how our brains work and decode […]

Published on February 28, 2023

Predicting Cognitive Impairment in Newly Diagnosed Parkinson’s Disease

Imagine you’re diagnosing a car’s problems, but instead of looking under the hood, you use clinical features and biomarkers to predict cognitive impairment (CI) in patients with newly diagnosed Parkinson’s disease (PD). In this 5-year cohort study, researchers assessed the cognitive function of patients using various tests. They found that age, hypertension, baseline scores, and […]

Published on February 28, 2023

A Breakthrough in Identifying Neurodegenerative Disorders through Behavior

Imagine if you could detect signs of a storm brewing by watching how the leaves move and the sky changes color. That’s what researchers are trying to do with neurodegenerative disorders. Using advanced technologies and carefully observing behavioral markers, scientists are on the brink of a breakthrough in early detection. Just like those leaves and […]

Published on February 28, 2023