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 …
Predicting age using neuroimaging: innovative brain ageing biomarkers
The brain changes as we age and these changes are associated with functional
deterioration and neurodegenerative disease. It is vital that we better understand individual …
deterioration and neurodegenerative disease. It is vital that we better understand individual …
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
Recent critical commentaries unfavorably compare deep learning (DL) with standard
machine learning (SML) approaches for brain imaging data analysis. However, their …
machine learning (SML) approaches for brain imaging data analysis. However, their …
[HTML][HTML] Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors
JH Cole - Neurobiology of aging, 2020 - Elsevier
The brain-age paradigm is proving increasingly useful for exploring aging-related disease
and can predict important future health outcomes. Most brain-age research uses structural …
and can predict important future health outcomes. Most brain-age research uses structural …
Brain age and other bodily 'ages': implications for neuropsychiatry
As our brains age, we tend to experience cognitive decline and are at greater risk of
neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases …
neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases …
The relationship between obesity and cognitive health and decline
The relationship between obesity and cognitive impairment is important given the globally
ageing population in whom cognitive decline and neurodegenerative disorders will carry …
ageing population in whom cognitive decline and neurodegenerative disorders will carry …
Brain-age in midlife is associated with accelerated biological aging and cognitive decline in a longitudinal birth cohort
ML Elliott, DW Belsky, AR Knodt, D Ireland… - Molecular …, 2021 - nature.com
An individual's brainAGE is the difference between chronological age and age predicted
from machine-learning models of brain-imaging data. BrainAGE has been proposed as a …
from machine-learning models of brain-imaging data. BrainAGE has been proposed as a …
Obesity and ageing: Two sides of the same coin
Conditions and comorbidities of obesity mirror those of ageing and age‐related diseases.
Obesity and ageing share a similar spectrum of phenotypes such as compromised genomic …
Obesity and ageing share a similar spectrum of phenotypes such as compromised genomic …
[HTML][HTML] Dispersion of functional gradients across the adult lifespan
Ageing is commonly associated with changes to segregation and integration of functional
brain networks, but, in isolation, current network-based approaches struggle to elucidate …
brain networks, but, in isolation, current network-based approaches struggle to elucidate …
Association between midlife obesity and its metabolic consequences, cerebrovascular disease, and cognitive decline
Context Chronic obesity is associated with several complications, including cognitive
impairment and dementia. However, we have only piecemeal knowledge of the mechanisms …
impairment and dementia. However, we have only piecemeal knowledge of the mechanisms …