A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
Brain aging is a complex, multifaceted process that can be challenging to model in ways that
are accurate and clinically useful. One of the most common approaches has been to apply …
are accurate and clinically useful. One of the most common approaches has been to apply …
Mind the gap: Performance metric evaluation in brain‐age prediction
Estimating age based on neuroimaging‐derived data has become a popular approach to
developing markers for brain integrity and health. While a variety of machine‐learning …
developing markers for brain integrity and health. While a variety of machine‐learning …
[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 …
Cardiometabolic risk factors associated with brain age and accelerated brain ageing
The structure and integrity of the ageing brain is interchangeably linked to physical health,
and cardiometabolic risk factors (CMRs) are associated with dementia and other brain …
and cardiometabolic risk factors (CMRs) are associated with dementia and other brain …
Predicting chronological age from structural neuroimaging: The predictive analytics competition 2019
Though aging is ubiquitous, the rate at which age-associated biological changes in the brain
occur differs substantially between individuals. Building on this, the so-called brain-age …
occur differs substantially between individuals. Building on this, the so-called brain-age …
Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power
E Bacas, I Kahhalé, PR Raamana… - Human Brain …, 2023 - Wiley Online Library
The calculation of so‐called “brain age” from structural MRIs has been an emerging
biomarker in aging research. Data suggests that discrepancies between chronological age …
biomarker in aging research. Data suggests that discrepancies between chronological age …
Brain age has limited utility as a biomarker for capturing fluid cognition in older individuals
A Tetereva, N Pat - Elife, 2024 - elifesciences.org
One well-known biomarker candidate that supposedly helps capture fluid cognition is Brain
Age, or a predicted value based on machine-learning models built to predict chronological …
Age, or a predicted value based on machine-learning models built to predict chronological …
A growth chart of brain function from infancy to adolescence based on EEG
Background In children, objective, quantitative tools that determine functional
neurodevelopment are scarce and rarely scalable for clinical use. Direct recordings of …
neurodevelopment are scarce and rarely scalable for clinical use. Direct recordings of …
[HTML][HTML] NeuropsychBrainAge: A biomarker for conversion from mild cognitive impairment to Alzheimer's disease
JG Condado, JM Cortes… - … & Disease Monitoring, 2023 - ncbi.nlm.nih.gov
METHODS A linear regressor BrainAge model was trained on healthy controls using
neuropsychological tests and neuroimaging features separately. The BrainAge delta …
neuropsychological tests and neuroimaging features separately. The BrainAge delta …
BrainAGE: Revisited and reframed machine learning workflow
Since the introduction of the BrainAGE method, novel machine learning methods for brain
age prediction have continued to emerge. The idea of estimating the chronological age from …
age prediction have continued to emerge. The idea of estimating the chronological age from …