SAN: mitigating spatial covariance heterogeneity in cortical thickness data collected from multiple scanners or sites
Rongqian Zhang, Linxi Chen, Lindsay D. Oliver, Aristotle N. Voineskos, Jun Young Park
The paper introduces SAN, a method to harmonize cortical thickness data across scanners by normalizing spatial autocorrelation, improving data quality and reproducibility.
Human Brain Mapping · May 1, 2024Peer-reviewedNeuroscience