Penalized decomposition using residuals (PeDecURe) for feature extraction in the presence of nuisance variables.

ABSTRACT: Neuroimaging data are an increasingly important part of etiological studies of neurological and psychiatric disorders. However, mitigating the influence of nuisance variables, including confounders, remains a challenge in image analysis. In studies of Alzheimer's disease, for example, an imbalance in disease rates by age and sex may make it difficult to distinguish between structural patterns in the brain (as measured by neuroimaging scans) attributable to disease progression and those characteristic of typical human aging or sex differences. Concerningly, when not properly accounted for, nuisance variables pose threats to the generalizability and interpretability of findings from these studies. Motivated by this critical issue, in this work, we examine the impact of nuisance variables on

SUBMITTER: Weinstein SM 

PROVIDER: S-EPMC10345990 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature