Beyond brain age: Empirically-derived proxy measures of mental health
Biological aging is revealed by physical measures, eg, DNA probes or brain scans.
Individual differences in personal functioning are instead explained by psychological …
Individual differences in personal functioning are instead explained by psychological …
Population modeling with machine learning can enhance measures of mental health
Background Biological aging is revealed by physical measures, eg, DNA probes or brain
scans. In contrast, individual differences in mental function are explained by psychological …
scans. In contrast, individual differences in mental function are explained by psychological …
Linking brain age gap to mental and physical health in the Berlin aging study II
From a biological perspective, humans differ in the speed they age, and this may manifest in
both mental and physical health disparities. The discrepancy between an individual's …
both mental and physical health disparities. The discrepancy between an individual's …
Bio-psycho-social factors' associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants
Brain age refers to age predicted by brain features. Brain age has previously been
associated with various health and disease outcomes and suggested as a potential …
associated with various health and disease outcomes and suggested as a potential …
Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders
Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle,
environment and disease. We developed a deep neural network model trained on brain MRI …
environment and disease. We developed a deep neural network model trained on brain MRI …
Genome-wide analysis of brain age identifies 25 associated loci and unveils relationships with mental and physical health
Neuroimaging and machine learning are opening up new opportunities in studying
biological aging mechanisms. In this field,'brain age gap'has emerged as promising MRI …
biological aging mechanisms. In this field,'brain age gap'has emerged as promising MRI …
Disease and Ageing Biomarker Identification from multimodal magnetic resonance imaging (DABI)
M Korbmacher - 2024 - hvlopen.brage.unit.no
Introduction: Examining brain changes through a lifespan perspective allows for multiple
ways of answering fundamental questions about the brain's development and to identify …
ways of answering fundamental questions about the brain's development and to identify …
[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 …
[HTML][HTML] The (limited?) utility of brain age as a biomarker for capturing cognitive decline
A Tetereva, N Pat - eLife, 2023 - elifesciences.org
For decades, neuroscientists have been on a quest to search for a biomarker that can help
capture age-related cognitive decline. One well-known candidate is Brain Age, or a …
capture age-related cognitive decline. One well-known candidate is Brain Age, or a …
Exploring Successful Cognitive Aging: Insights Regarding Brain Structure, Function, and Demographics
X Xu, L Lin, S Wu, S Sun - Brain Sciences, 2023 - mdpi.com
In the realm of cognitive science, the phenomenon of “successful cognitive aging” stands as
a hallmark of individuals who exhibit cognitive abilities surpassing those of their age …
a hallmark of individuals who exhibit cognitive abilities surpassing those of their age …