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First, CORE estimates site-specific confounder effects and aggregates the resulting deconfounders by cross-source reliability for unseen-site correction, while extracting a population scaffold of reproducible label-associated connections from site-wise residualized FC.
Brain Network Re-estimation-Informed OOD Learning (BRIO) is proposed, a framework that uses within-scan FC re-estimation to guide cross-site alignment and consistently outperforms competitive baselines.
BrainEnrich is introduced, an R package that integrates whole‐brain gene expression profiles from the Allen Human Brain Atlas with in vivo imaging‐derived phenotypes (IDPs) and provides a flexible framework for integrating macro‐level IDPs with micro‐level transcriptomic profiles for molecular contextualization of IDPs...
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