Statistical Pitfalls in Brain Age Analyses
Ellyn R. Butler, Andrew A. Chen, Rabie Ramadan, Trang T. Le, Kosha Ruparel, Tyler M. Moore, Theodore Daniel Satterthwaite, Fengqing Zhang, Haochang Shou, Ruben C. Gur, Thomas E. Nichols, Russell Taki Shinohara
The paper identifies statistical issues in brain age gap analysis, showing that modifying the brain age gap can inflate model accuracy statistics and suggests developing new methods to quantify deviation from normal developmental trajectories.
bioRxiv · Jun 21, 2020 · PreprintNeuroscience