Beyond brain age: Empirically-derived proxy measures of mental health

K Dadi, G Varoquaux, J Houenou, D Bzdok, B Thirion… - 2020 - inria.hal.science
Biological aging is revealed by physical measures, eg, DNA probes or brain scans.
Individual differences in personal functioning are instead explained by psychological …

Population modeling with machine learning can enhance measures of mental health

K Dadi, G Varoquaux, J Houenou, D Bzdok… - …, 2021 - academic.oup.com
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 …

Linking brain age gap to mental and physical health in the Berlin aging study II

P Jawinski, S Markett, J Drewelies, S Düzel… - Frontiers in Aging …, 2022 - frontiersin.org
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 …

Bio-psycho-social factors' associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants

M Korbmacher, TP Gurholt, AMG de Lange… - Frontiers in …, 2023 - frontiersin.org
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 …

Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders

A Kolbeinsson, S Filippi, Y Panagakis, PM Matthews… - Scientific Reports, 2020 - nature.com
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 …

Genome-wide analysis of brain age identifies 25 associated loci and unveils relationships with mental and physical health

P Jawinski, H Forstbach, H Kirsten, F Beyer, A Villringer… - medRxiv, 2023 - medrxiv.org
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 …

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 …

[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 …

[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 …

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 …