The deviation between chronological age and age predicted using brain MRI is a putative marker of overall brain health. Age prediction based on structural MRI data shows high …
P Mouches, M Wilms, A Aulakh, S Langner… - Frontiers in …, 2022 - frontiersin.org
Introduction The difference between the chronological and biological brain age, called the brain age gap (BAG), has been identified as a promising biomarker to detect deviation from …
P Mouches, M Wilms, D Rajashekar… - Human brain …, 2022 - Wiley Online Library
Biological brain age predicted using machine learning models based on high‐resolution imaging data has been suggested as a potential biomarker for neurological and …
L Biagi, A Abbruzzese, MC Bianchi… - Journal of Magnetic …, 2007 - Wiley Online Library
Purpose To study the normal dependence of cerebral perfusion changes on age, to measure values of perfusion early in life, and to create a reference dataset. Materials and …
C Lee, OL Lopez, JT Becker, C Raji… - Journal of …, 2009 - Wiley Online Library
ABSTRACT INTRODUCTION Arterial spin labeling (ASL) is a safe, noninvasive imaging method for evaluating cerebral blood flow (rCBF). The purpose of this article is to present …
Purpose To investigate whether multivariate pattern recognition analysis of arterial spin labeling (ASL) perfusion maps can be used for classification and single-subject prediction of …
S Guan, R Jiang, C Meng, B Biswal - GeroScience, 2024 - Springer
Measuring differences between an individual's age and biological age with biological information from the brain have the potential to provide biomarkers of clinically relevant …
RP Dörfel, JM Arenas‐Gomez, PM Fisher… - Human Brain …, 2023 - Wiley Online Library
Brain age prediction algorithms using structural magnetic resonance imaging (MRI) aim to assess the biological age of the human brain. The difference between a person's …