… that deep learning yields robust biomarkers of brain age … brain MRI scans across the
lifespan and including multiple scanners, acquisition protocols, and geographic locations around …

… to successfully train a deep neural network, and unlike the … freedom to investigate spatial
signatures, rather than relying … of this work beyond the current brain age literature on the UK …

… Our brain age prediction model based on FDG PET or MRI … change of brain age differed
for each disease group. For this … The ability of the metabolic signature to distinguish DLB from …

… Deep learning has huge potential for accurate disease … for the task of brain age prediction
using structural MRI data). … In our experiment setup, there is no conclusive signature of …

… (BA) estimates are often obtained using deep learning models that may perform relatively …
a convolutional neural network (CNN) to estimate BA after training on the MRIs of 4,681 …

… deep neural network model trained on brain MRI scans of healthy people to predict “healthy”
brain age… to the brain during the life course are more than solely a consequence of time (…

… ) have been used to estimate normative trajectories across the lifespan (Cole, Franke, 2017,
… we trained deep neural network models for brain age prediction on structural MRI data from …

… relationship between brain age and potential health problems in … and developmental disorders
on brain age, respectively. Our … on lifespan brain changes, we also modeled brain age for …

… This is a useful study exploring multi- modality brain age (structural plus resting state MRI)
in … Mri signatures of brain age and disease over the lifespan based on a deep brain network …

… MRI brain changes using the following summary signatures: (1) the spatial pattern of atrophy
for recognition of brain ageing (SPARE-BA) index (MRI brain age)… adults across the lifespan …