Deriving robust biomarkers from multi-site resting-state data: An Autism-based example
Alexandre Abraham, Michael Milham, Adriana Di Martino, R. Cameron Craddock, Dimitris Samaras, Bertrand Thirion, Gael Varoquaux
The paper demonstrates robust biomarker derivation from multi-site resting-state fMRI data in autism, achieving 67% classification accuracy using connectome-based methods.
bioRxiv · Sep 19, 2016 · PreprintNeuroscience