Extensive MEG time-series phenotyping unveils neural markers predictive of age
Understanding the evolving dynamics of the brain throughout life is pivotal for anticipating
and evaluating individual health. While previous research has described age effects on …
and evaluating individual health. While previous research has described age effects on …
[HTML][HTML] Toward MR protocol-agnostic, bias-corrected brain age predicted from clinical-grade MRIs
P Valdes-Hernandez, CL Nodarse, J Peraza… - Research …, 2023 - ncbi.nlm.nih.gov
The predicted brain age minus the chronological age ('brain-PAD') could become a clinical
biomarker. However, most brain age methods were developed to use research-grade high …
biomarker. However, most brain age methods were developed to use research-grade high …
There are multiple clocks that time us: Cross-sectional and longitudinal associations among 14 alternative indicators of age and aging
J Drewelies, J Homann, V Vetter, S Duezel, S Kühn… - 2023 - researchsquare.com
Aging is a complex process influenced by mechanisms operating at numerous levels of
functioning. Multiple biomarkers of age have been identified, yet we know little about how …
functioning. Multiple biomarkers of age have been identified, yet we know little about how …
[HTML][HTML] Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models
L Dular, F Pernuš, Ž Špiclin… - Computers in biology …, 2024 - Elsevier
Brain age is an estimate of chronological age obtained from T1-weighted magnetic
resonance images (T1w MRI), representing a straightforward diagnostic biomarker of brain …
resonance images (T1w MRI), representing a straightforward diagnostic biomarker of brain …