Authors: Robin Wolz, Valtteri Julkunen, Juha Koikkalainen, Eini Niskanen, Dong Ping Zhang, Daniel Rueckert, Hilkka Soininen, Jyrki Lötjönen
DOI: 10.1371/journal.pone.0025446
Abstract Summary
Combining multiple MRI analysis techniques—hippocampal volume, tensor-based morphometry, cortical thickness, and manifold learning—significantly improves early Alzheimer’s detection compared to single methods. Testing on 834 subjects achieved 93% sensitivity and 85% specificity for diagnosing AD, with notable improvements in identifying mild cognitive impairment progressors.
Why Brain? 🧠
Combining multiple MRI analysis methods improves early Alzheimer’s detection accuracy to 93% sensitivity and 85% specificity, outperforming single-feature approaches in predicting disease progression.
The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.
