Researchers have developed an innovative method for predicting dementia with over 80% accuracy, up to nine years before diagnosis. Using functional MRI to analyze the default mode network of the brain, the team could identify early signs of dementia by comparing brain connectivity patterns with genetic and health data from UK Biobank volunteers. This method not only improves early detection but also helps in understanding the interaction between genetic factors, social isolation, and Alzheimer’s disease.
Queen Mary University researchers have created a method to predict dementia with high accuracy years before diagnosis by analyzing brain network connectivity using fMRI scans.
Researchers at Queen Mary University of London have created a new technique that predicts dementia with over 80% DOI: 10.1038/s44220-024-00259-5