New MRI Method Accurately Predicts Dementia Up to Nine Years in Advance

Researchers at Queen Mary University of London developed a test using fMRI scans to identify early brain changes with over 80% accuracy.

The test analyzes the brain's default mode network, which is affected early in Alzheimer's disease.
It outperforms traditional methods like memory tests and brain shrinkage measurements.
The model was validated with data from over 1,100 UK Biobank volunteers.
Social isolation and genetic risk factors were found to influence brain connectivity changes.
Early prediction can facilitate timely interventions and improve treatment outcomes.