2 papers2 findings
Multiscale morphometrics
upin silico1
multiscale morphometrics improve brain age prediction in silico (adjusted R2 boosted from 0.35 to 0.7).
“In a proof-of-principle brain age prediction context, multiscale morphometrics provided additional predictive value, boosting the adjusted $R^{2}$ of the model from 0.35 to 0.7.”
In silicobrain
Cerebral cortex (New York, N.Y. : 1991)4 Jun 2025
Deep learning brain age model
mixedin silico1
deep learning brain age model predicts brain age prediction in silico.
“We found that the model directly generalized to the elderly participants, but model finetuning was necessary for children.”
In silicoPreviously published model tested in Singaporean participantsbrain
Rate of brain aging associates with future executive function in Asian children and older adults
eLife7 Jun 2024Preprint
An observational study of 46,843 UK Biobank participants linked higher genetic risk and unhealthy lifestyles to faster aging estimated from brain scans.An observational study of 46,843 UK Biobank participants linked higher genetic risk and unhealthy lifestyles to faster aging estimated from brain scans.
Brain-age gap estimates rose by about three years during pregnancy and fell below pre-conception levels by 16 months postpartum in a longitudinal study.Brain-age gap estimates rose by about three years during pregnancy and fell below pre-conception levels by 16 months postpartum in a longitudinal study.