Evidence map›Paper›PMID 35129252›Full record

ArticleHuman brain mapping2022

Multimodal data integration via mediation analysis with high-dimensional exposures and mediators.

Yi Zhao, Lexin Li, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Integrative Analysis of Multimodal Omics Data.Annual review of statistics and its application · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yi ZhaoDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0003-4766-5934
Lexin LiDepartment of Biostatistics and Epidemiology, University of California, Berkeley, Berkeley, California, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Structural Biology CoreU54AG065181 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW D MESECAR · 2019 to 2026
$61.3M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Neural and Biochemical Mechanisms of Cognitive AgingR01AG034570 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI William J. Jagust · 2009 to 2026
$12.0M
Mechanisms of Alzheimer's Disease Progression in the Aging BrainR01AG062542 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI JAGUST, WILLIAM J. · 2019 to 2023
$4.2M
New Statistical Methods for Multicenter Multimodal Longitudinal Neuroimaging AnalysisR01AG061303 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI LI, LEXIN · 2019 to 2022
$1.5M
NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG034570NIA NIH HHS R01 AG061303NIA NIH HHS R01 AG062542NIA NIH HHS U54 AG065181NIA NIH HHS U54AG065181
6 · The paper itself

Abstract

Motivated by an imaging proteomics study for Alzheimer's disease (AD), in this article, we propose a mediation analysis approach with high-dimensional exposures and high-dimensional mediators to integrate data collected from multiple platforms. The proposed method combines principal component analysis with penalized least squares estimation for a set of linear structural equation models. The former reduces the dimensionality and produces uncorrelated linear combinations of the exposure variables, whereas the latter achieves simultaneous path selection and effect estimation while allowing the mediators to be correlated. Applying the method to the AD data identifies numerous interesting protein peptides, brain regions, and protein-structure-memory paths, which are in accordance with and also supplement existing findings of AD research. Additional simulations further demonstrate the effective empirical performance of the method.

Indexed as

Alzheimer DiseaseMediation AnalysisBrainHumansLeast-Squares AnalysisPrincipal Component AnalysisAlzheimer's diseasemediation analysismultimodal data integrationneuroimagingprincipal component analysis

Identifiers

PMID35129252
PMCPMC9057105

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.