ArticleBiostatistics (Oxford, England)2018
High-dimensional multivariate mediation with application to neuroimaging data.
Article in Biostatistics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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Who cites it
68 citing papers in PubMed.
- High-throughput mediation analysis of human proteome and metabolome identifies mediators of post-bariatric surgical diabetes control.Nature communications · 2021Trial
- Individual-Level Associations of Cognition and Personality With Adolescent Mental Health Vary Across Brain and Environmental Profiles.bioRxiv : the preprint server for biology · 2026Article
- Maternal bioactive lipids during pregnancy and early childhood neurodevelopment and behavior.Pediatric research · 2026Article
- Bayesian Image Mediation Analysis.Journal of the American Statistical Association · 2026Article
- Gestational PBDE concentrations and functional connectivity in adolescents: The HOME Study.International journal of hygiene and environmental health · 2026Article
- A pipeline for enabling path-specific causal fairness in observational health data.Proceedings of the ... Conference on Fairness, Accountability, and Transparency · 2026Article
- Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies.Statistics in medicine · 2026Article
- Mediation analysis with graph mediator.Biostatistics (Oxford, England) · 2025Article
- Molecular and neuropathological determinants of neuronal dysfunction in Alzheimer's disease.bioRxiv : the preprint server for biology · 2025Article
- Causal mediation analysis: selection with asymptotically valid inference.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025Article
- High-dimensional mediation analysis reveals the mediating role of physical activity patterns in genetic pathways leading to AD-like brain atrophy.BioData mining · 2025Article
- Associations of prenatal metal exposure with child neurodevelopment and mediation by perturbation of metabolic pathways.Nature communications · 2025Article
- Mediation CNN (Med-CNN) Model for High-Dimensional Mediation Data.International journal of molecular sciences · 2025Article
- Neighborhood environment associations with cognitive function and structural brain measures in older African Americans.BMC medicine · 2025Article
- Temporoparietal brain structures support sentence processing across the adult lifespan.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Cognitive reserve against Alzheimer's pathology is linked to brain activity during memory formation.Nature communications · 2024Observational
- Mediation Analysis with Multiple Exposures and Multiple Mediators.Statistics in medicine · 2024Article
- Article
- AN INTEGRATIVE NETWORK-BASED MEDIATION MODEL (NMM) TO ESTIMATE MULTIPLE GENETIC EFFECTS ON OUTCOMES MEDIATED BY FUNCTIONAL CONNECTIVITY.The annals of applied statistics · 2024Article
- Network-Assisted Mediation Analysis with High-Dimensional Neuroimaging Mediators.Proceedings of machine learning research · 2024Article
8 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
Abstract
Mediation analysis is an important tool in the behavioral sciences for investigating the role of intermediate variables that lie in the path between a treatment and an outcome variable. The influence of the intermediate variable on the outcome is often explored using a linear structural equation model (LSEM), with model coefficients interpreted as possible effects. While there has been significant research on the topic, little work has been done when the intermediate variable (mediator) is a high-dimensional vector. In this work, we introduce a novel method for identifying potential mediators in this setting called the directions of mediation (DMs). DMs linearly combine potential mediators into a smaller number of orthogonal components, with components ranked based on the proportion of the LSEM likelihood each accounts for. This method is well suited for cases when many potential mediators are measured. Examples of high-dimensional potential mediators are brain images composed of hundreds of thousands of voxels, genetic variation measured at millions of single nucleotide polymorphisms (SNPs), or vectors of thousands of variables in large-scale epidemiological studies. We demonstrate the method using a functional magnetic resonance imaging study of thermal pain where we are interested in determining which brain locations mediate the relationship between the application of a thermal stimulus and self-reported pain.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.