Unveiling Alzheimer’s disease through brain age estimation using multi-kernel regression network and magnetic resonance imaging

• Published in: Computer methods and programs in biomedicine Vol. 261; p. 108617
• Main Authors: Pilli, Raveendra, Goel, Tripti, Murugan, R.
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.04.2025
• Subjects: Aged; Aged, 80 and over; Aging; Alzheimer Disease - diagnostic imaging; Alzheimer’s disease; Brain - diagnostic imaging; Brain - pathology; Brain age estimation; Extreme learning machine; Female; Gray matter; Humans; Machine Learning; Magnetic Resonance Imaging; Male; Middle Aged; Regression Analysis; White matter; Brain age estimation; Alzheimer’s disease; Extreme learning machine; Magnetic resonance imaging; Gray matter; White matter

Structural magnetic resonance imaging (MRI) studies have unveiled age-related anatomical changes across various brain regions. The disparity between actual age and estimated age, known as the Brain-Predicted Age Difference (Brain-PAD), serves as an indicator for predicting neurocognitive ailments or...