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 …
Aging biomarkers and the brain
Quantifying biological aging is critical for understanding why aging is the primary driver of
morbidity and mortality and for assessing novel therapies to counter pathological aging. In …
morbidity and mortality and for assessing novel therapies to counter pathological aging. In …
[HTML][HTML] Accurate brain age prediction with lightweight deep neural networks
Deep learning has huge potential for accurate disease prediction with neuroimaging data,
but the prediction performance is often limited by training-dataset size and computing …
but the prediction performance is often limited by training-dataset size and computing …
Global-local transformer for brain age estimation
Deep learning can provide rapid brain age estimation based on brain magnetic resonance
imaging (MRI). However, most studies use one neural network to extract the global …
imaging (MRI). However, most studies use one neural network to extract the global …
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
Major depressive disorder (MDD) is associated with an increased risk of brain atrophy,
aging-related diseases, and mortality. We examined potential advanced brain aging in adult …
aging-related diseases, and mortality. We examined potential advanced brain aging in adult …
The Brain Chart of Aging: machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING …
Introduction Relationships between brain atrophy patterns of typical aging and Alzheimer's
disease (AD), white matter disease, cognition, and AD neuropathology were investigated via …
disease (AD), white matter disease, cognition, and AD neuropathology were investigated via …
[HTML][HTML] White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age …
The macro-and microstructural architecture of human brain white matter undergoes
substantial alterations throughout development and ageing. Most of our understanding of …
substantial alterations throughout development and ageing. Most of our understanding of …
Accelerated functional brain aging in pre-clinical familial Alzheimer's disease
J Gonneaud, AT Baria, A Pichet Binette… - Nature …, 2021 - nature.com
Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently
develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid …
develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid …
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 …
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 …