Constrained principal component models of functional connectivity predict brain age with mean absolute error around 12 years and transfer across three fMRI datasets, though no baseline comparison is provided.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.AP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Interpretable brain age prediction using linear latent variable models of functional connectivity
Constrained principal component models of functional connectivity predict brain age with mean absolute error around 12 years and transfer across three fMRI datasets, though no baseline comparison is provided.