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 …
Brain asymmetries from mid-to late life and hemispheric brain age
The human brain demonstrates structural and functional asymmetries which have
implications for ageing and mental and neurological disease development. We used a set of …
implications for ageing and mental and neurological disease development. We used a set of …
Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages
Brain age prediction algorithms using structural magnetic resonance imaging (MRI) aim to
assess the biological age of the human brain. The difference between a person's …
assess the biological age of the human brain. The difference between a person's …
The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity
Background: Obesity negatively impacts multiple bodily systems, including the central
nervous system. Retrospective studies that estimated chronological age from neuroimaging …
nervous system. Retrospective studies that estimated chronological age from neuroimaging …
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 …
Considerations on brain age predictions from repeatedly sampled data across time
M Korbmacher, MY Wang, R Eikeland… - Brain and …, 2023 - Wiley Online Library
Introduction Brain age, the estimation of a person's age from magnetic resonance imaging
(MRI) parameters, has been used as a general indicator of health. The marker requires …
(MRI) parameters, has been used as a general indicator of health. The marker requires …
The alteration of cortical microstructure similarity in drug-resistant epilepsy correlated with mTOR pathway genes
Background Drug-resistant epilepsy (DRE) is associated with distributed laminar disruptions
due to cytoarchitectonic pathologies, which may be characterized by multimodal MRI …
due to cytoarchitectonic pathologies, which may be characterized by multimodal MRI …
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 …
Inter-site generalizability of EEG based age prediction algorithms in the preterm infant
NJ Stevenson, T Nordvik, CN Espeland… - Physiological …, 2023 - iopscience.iop.org
Objective. To overcome the effects of site differences in EEG-based brain age prediction in
preterm infants. Approach. We used a'bag of features' with a combination function estimated …
preterm infants. Approach. We used a'bag of features' with a combination function estimated …
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes
Neuroimaging measures of the brain's white matter connections can enable the prediction of
non-imaging phenotypes, such as demographic and cognitive measures. Existing works …
non-imaging phenotypes, such as demographic and cognitive measures. Existing works …