Evidence map›Paper›PMID 42851120›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Diffusion MRI reveals amyloid plaque-associated cellular signatures through spatial transcriptomic integration.

Xinyue Han, Rui Hu, Xingjie Ping, Jie Chen, Juan Liu, Zhuoheng Liu, Xiaoming Jin, Xiang Gao, Mingquan Lin, Yi Zhao and 1 more

Abstract read
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In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Xinyue HanAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, USA.ORCID https://orcid.org/0000-0002-8082-0863
Rui HuAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, USA.
Xingjie PingDepartment of Anatomy, Cell Biology & Physiology, Indiana University, Indianapolis, USA.
Jie ChenAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, USA.
Juan LiuAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, USA.
Zhuoheng LiuAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, USA.
Xiaoming JinDepartment of Anatomy, Cell Biology & Physiology, Indiana University, Indianapolis, USA.
Xiang GaoDepartment of Neurological Surgery, Indiana University, Indianapolis, USA.
Mingquan LinDepartment of Surgery, University of Minnesota, Minneapolis, USA.
Yi ZhaoDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, USA.
Nian WangAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, USA.ORCID https://orcid.org/0000-0001-6547-8580

Funding

Cancer Prevention and Research Institute of Texas RP210099Foundation for the National Institutes of Health R01 NS125020Ralph W. and Grace M. Showalter Research Trust FundThe UT System Rising STARs (Science and Technology Acquisition and Retention) Award
6 · The paper itself

Abstract

introductionAmyloid plaque deposition is a defining feature of Alzheimer's disease (AD), yet how plaque-associated cellular alterations are reflected in noninvasive imaging remains unclear.

methodsWe integrated high-resolution diffusion magnetic resonance imaging (dMRI) with spatial transcriptomics (ST) in an AD mouse model. Spatial correlations were assessed across the whole brain and in disease-control and plaque-non-plaque comparisons. Neural network models were trained to predict AD-associated cell types from dMRI metrics.

resultsdMRI metrics showed moderate spatial correlations (r = -0.41 to 0.36) with oligodendrocyte- and neuron-related gene expression. Disease-control comparisons revealed region-specific MRI-derived microstructural alterations aligned with transcriptional changes in microglia, astrocytes, oligodendrocytes, and neurons. Plaque-rich regions exhibited distinct diffusion and susceptibility signatures associated with oligodendrocyte and microglial expression. Neural networks predicted spatial distributions of AD-associated cell types with 80%-86% accuracy. DISCUSSION: dMRI captures plaque-associated cellular pathology and supports biologically informed interpretation of imaging contrasts in AD.

Indexed as

Alzheimer DiseaseBrainDiffusion Magnetic Resonance ImagingPlaque, AmyloidAnimalsDisease Models, AnimalMiceMice, TransgenicMicrogliaNeural Networks, ComputerNeuronsOligodendrogliaSpatial TranscriptomicsTranscriptomeAlzheimer's diseasebeta‐amyloid plaquedeep learningdiffusion magnetic resonance imagingquantitative susceptibility mappingspatial transcriptomics

Identifiers

PMID42851120

What OpenQuestion holds

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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.