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 …
Factors associated with brain ageing-a systematic review
Background Brain age is a biomarker that predicts chronological age using neuroimaging
features. Deviations of this predicted age from chronological age is considered a sign of age …
features. Deviations of this predicted age from chronological age is considered a sign of age …
[HTML][HTML] Deep neural networks learn general and clinically relevant representations of the ageing brain
The discrepancy between chronological age and the apparent age of the brain based on
neuroimaging data—the brain age delta—has emerged as a reliable marker of brain health …
neuroimaging data—the brain age delta—has emerged as a reliable marker of brain health …
Brain-age prediction: A systematic comparison of machine learning workflows
S More, G Antonopoulos, F Hoffstaedter, J Caspers… - NeuroImage, 2023 - Elsevier
The difference between age predicted using anatomical brain scans and chronological age,
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …
Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme
The level of prediction error in the brain age estimation frameworks is associated with the
authenticity of statistical inference on the basis of regression models. In this paper, we …
authenticity of statistical inference on the basis of regression models. In this paper, we …
Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
The concept of brain maintenance refers to the preservation of brain integrity in older age,
while cognitive reserve refers to the capacity to maintain cognition in the presence of …
while cognitive reserve refers to the capacity to maintain cognition in the presence of …
Measuring resilience and resistance in aging and Alzheimer disease using residual methods: a systematic review and meta-analysis
Background and Objective There is a lack of consensus on how to optimally define and
measure resistance and resilience in brain and cognitive aging. Residual methods use …
measure resistance and resilience in brain and cognitive aging. Residual methods use …
Defining brain health: a concept analysis
Y Chen, N Demnitz, S Yamamoto… - … journal of geriatric …, 2022 - Wiley Online Library
Objectives Brain health is an important focus for coming decades due to population ageing.
Although the term 'brain health'is increasingly used in lay and professional settings, a clear …
Although the term 'brain health'is increasingly used in lay and professional settings, a clear …
Verbal intelligence is a more robust cross-sectional measure of cognitive reserve than level of education in healthy older adults
Background Cognitive reserve is most commonly measured using socio-behavioural proxy
variables. These variables are easy to collect, have a straightforward interpretation, and are …
variables. These variables are easy to collect, have a straightforward interpretation, and are …
Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age …
Although many studies on brain-age prediction in patients with schizophrenia have been
reported recently, none has predicted brain age based on different neuroimaging modalities …
reported recently, none has predicted brain age based on different neuroimaging modalities …