Article

Penalized Decomposition Using Residuals (PeDecURe) for Nuisance Variable Adjustment in Multivariate Pattern Analysis

2022-01-28

Abstract excerpt

<h4> S ummary </h4> In neuroimaging studies, multivariate methods provide a framework for studying associations between complex patterns distributed throughout the brain and neurological, psychiatric, and behavioral phenotypes. However, mitigating the influence of nuisance variables, such as confounders, remains a critical challenge in multivariate pattern analysis (MVPA). In studies of Alzheimer’s Disease, for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6bb4a9a0-8e79-521d-975d-64d896affd3c
DOI: 10.1101/2022.01.27.477859

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Penalized Decomposition Using Residuals (PeDecURe) for Nuisance Variable Adjustment in Multivariate Pattern AnalysisDOI 10.1101/2022.01.27.477859Read

Penalized likelihood phenotyping: unifying voxelwise analyses and multi-voxel pattern analyses in neuroimaging: penalized likelihood phenotyping.Semantic proximity Read

Novel genomic loci influence patterns of structural covariance in the human brainSemantic proximity Read

Covariate Assisted Principal Regression for Covariance Matrix OutcomesSemantic proximity Read

Multivariate pattern analysis reveals subtle brain anomalies relevant to the cognitive phenotype in neurofibromatosis type 1.Semantic proximity Read

Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer's DiseaseSemantic proximity Read

The impact of study design choices on significance and generalizability of canonical correlation analysis in neuroimaging studiesSemantic proximity Read

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.Semantic proximity Read

Predicting Brain Amyloid using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals from the ADNI and OASIS DatabasesSemantic proximity Read

Studying APOE ɛ4 Allele Dose Effects with a Univariate Morphometry Biomarker.Semantic proximity Read

Phenotype Discovery from Population Brain ImagingSemantic proximity Read

Connectivity RegressionSemantic proximity Read

Spatial-extent inference for testing variance components in reliability and heritability studiesSemantic proximity Read