Brain age prediction across the human lifespan using multimodal MRI data
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 …
information from the brain have the potential to provide biomarkers of clinically relevant …
Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders
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 …
marker of overall brain health. Age prediction based on structural MRI data shows high …
[HTML][HTML] Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques
Brain age prediction studies aim at reliably estimating the difference between the
chronological age of an individual and their predicted age based on neuroimaging data …
chronological age of an individual and their predicted age based on neuroimaging data …
Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging
Numerous studies have established that estimated brain age constitutes a valuable
biomarker that is predictive of cognitive decline and various neurological diseases. In this …
biomarker that is predictive of cognitive decline and various neurological diseases. In this …
Improved prediction of brain age using multimodal neuroimaging data
Brain age prediction based on imaging data and machine learning (ML) methods has great
potential to provide insights into the development of cognition and mental disorders. Though …
potential to provide insights into the development of cognition and mental disorders. Though …
Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions
Biological brain age predicted using machine learning models based on high‐resolution
imaging data has been suggested as a potential biomarker for neurological and …
imaging data has been suggested as a potential biomarker for neurological and …
MRI of healthy brain aging: A review
ME MacDonald, GB Pike - NMR in Biomedicine, 2021 - Wiley Online Library
We present a review of the characterization of healthy brain aging using MRI with an
emphasis on morphology, lesions, and quantitative MR parameters. A scope review found …
emphasis on morphology, lesions, and quantitative MR parameters. A scope review found …
Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages
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 …
assess the biological age of the human brain. The difference between a person's …
Considerations on brain age predictions from repeatedly sampled data across time
M Korbmacher, MY Wang, R Eikeland… - Brain and …, 2023 - Wiley Online Library
Introduction Brain age, the estimation of a person's age from magnetic resonance imaging
(MRI) parameters, has been used as a general indicator of health. The marker requires …
(MRI) parameters, has been used as a general indicator of health. The marker requires …
Brain age estimation using multi-feature-based networks
X Liu, I Beheshti, W Zheng, Y Li, S Li, Z Zhao… - Computers in Biology …, 2022 - Elsevier
Studying brain aging improves our understanding in differentiating typical and atypical
aging. Directly utilizing traditional morphological features for brain age estimation did not …
aging. Directly utilizing traditional morphological features for brain age estimation did not …