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 …
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 …
Brain age prediction: A comparison between machine learning models using brain morphometric data
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …
age using brain morphological features can help the detection of an abnormal aging …
[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 …
A review on brain age prediction models
LKS Kumari, R Sundarrajan - Brain Research, 2023 - Elsevier
Brain age in neuroimaging has emerged over the last decade and reflects the estimated age
based on the brain MRI scan from a person. As a person ages, their brain structure will …
based on the brain MRI scan from a person. As a person ages, their brain structure will …
Machine learning for brain age prediction: Introduction to methods and clinical applications
The rise of machine learning has unlocked new ways of analysing structural neuroimaging
data, including brain age prediction. In this state-of-the-art review, we provide an …
data, including brain age prediction. In this state-of-the-art review, we provide an …
Systematic evaluation of machine learning algorithms for neuroanatomically‐based age prediction in youth
Application of machine learning (ML) algorithms to structural magnetic resonance imaging
(sMRI) data has yielded behaviorally meaningful estimates of the biological age of the brain …
(sMRI) data has yielded behaviorally meaningful estimates of the biological age of the brain …
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 …
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
Abstract Machine learning analysis of neuroimaging data can accurately predict
chronological age in healthy people. Deviations from healthy brain ageing have been …
chronological age in healthy people. Deviations from healthy brain ageing have been …
Brain age prediction: A comparison between machine learning models using region‐and voxel‐based morphometric data
L Baecker, J Dafflon, PF Da Costa… - Human brain …, 2021 - Wiley Online Library
Brain morphology varies across the ageing trajectory and the prediction of a person's age
using brain features can aid the detection of abnormalities in the ageing process. Existing …
using brain features can aid the detection of abnormalities in the ageing process. Existing …