Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?

K Franke, C Gaser - Frontiers in neurology, 2019 - frontiersin.org
With the aging population, prevalence of neurodegenerative diseases is increasing, thus
placing a growing burden on individuals and the whole society. However, individual rates of …

Predicting age using neuroimaging: innovative brain ageing biomarkers

JH Cole, K Franke - Trends in neurosciences, 2017 - cell.com
The brain changes as we age and these changes are associated with functional
deterioration and neurodegenerative disease. It is vital that we better understand individual …

Genetic variants associated with longitudinal changes in brain structure across the lifespan

RM Brouwer, M Klein, KL Grasby, HG Schnack… - Nature …, 2022 - nature.com
Human brain structure changes throughout the lifespan. Altered brain growth or rates of
decline are implicated in a vast range of psychiatric, developmental and neurodegenerative …

Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

S Moguilner, S Baez, H Hernandez, J Migeot… - Nature medicine, 2024 - nature.com
Brain clocks, which quantify discrepancies between brain age and chronological age, hold
promise for understanding brain health and disease. However, the impact of diversity …

Brain aging mechanisms with mechanical manifestations

Y Blinkouskaya, A Caçoilo, T Gollamudi… - Mechanisms of ageing …, 2021 - Elsevier
Brain aging is a complex process that affects everything from the subcellular to the organ
level, begins early in life, and accelerates with age. Morphologically, brain aging is primarily …

Development of the cerebral cortex across adolescence: a multisample study of inter-related longitudinal changes in cortical volume, surface area, and thickness

CK Tamnes, MM Herting, AL Goddings… - Journal of …, 2017 - Soc Neuroscience
Before we can assess and interpret how developmental changes in human brain structure
relate to cognition, affect, and motivation, and how these processes are perturbed in clinical …

Predicting brain-age from multimodal imaging data captures cognitive impairment

F Liem, G Varoquaux, J Kynast, F Beyer, SK Masouleh… - Neuroimage, 2017 - Elsevier
The disparity between the chronological age of an individual and their brain-age measured
based on biological information has the potential to offer clinically relevant biomarkers of …

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years

S Frangou, A Modabbernia, SCR Williams… - Human brain …, 2022 - Wiley Online Library
Delineating the association of age and cortical thickness in healthy individuals is critical
given the association of cortical thickness with cognition and behavior. Previous research …

The aging navigational system

AW Lester, SD Moffat, JM Wiener, CA Barnes… - Neuron, 2017 - cell.com
The discovery of neuronal systems dedicated to computing spatial information, composed of
functionally distinct cell types such as place and grid cells, combined with an extensive body …

Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome

KJ Whitaker, PE Vértes… - Proceedings of the …, 2016 - National Acad Sciences
How does human brain structure mature during adolescence? We used MRI to measure
cortical thickness and intracortical myelination in 297 population volunteers aged 14–24 y …