Evidence map›Paper›PMID 40551292›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Brain tissue electrical conductivity as a promising biomarker for dementia assessment using MRI.

Jiayue Chu, Junye Yao, Zhenghao Li, Jun Li, Yuyao Zhang, Chunlei Liu, Hongjian He, Binyin Li, Hongjiang Wei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Brain tissue electrical conductivity as a promising biomarker for dementia assessment using MRI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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

9 authors.

Jiayue ChuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0009-0007-0799-8706
Junye YaoCenter for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China.
Zhenghao LiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Jun LiSchool of Information Science and Technology, ShanghaiTech University, Shanghai, China.
Yuyao ZhangSchool of Information Science and Technology, ShanghaiTech University, Shanghai, China.
Chunlei LiuDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.
Hongjian HeSchool of Physics, Zhejiang University, Hangzhou, China.ORCID 0000-0002-9060-4152
Binyin LiDepartment of Neurology & Institute of Neurology, Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hongjiang WeiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Funding

62471296, 82271441, 62071299, 82372036, 82001342National Key Research and Development Program of China 2024YFC2421100National Natural Science Foundation of ChinaShanghai Science and Technology Development Funds 23TS1400200SJTU Trans-med Awards Research STAR 20220103 YG2023LC02
6 · The paper itself

Abstract

introductionDementia, particularly Alzheimer's disease, involves cognitive decline linked to amyloid beta (Aβ) and tau protein aggregation. Magnetic resonance imaging (MRI)-based brain tissue conductivity, which increases in dementia, may serve as a non-invasive biomarker for protein aggregation. We investigate the relationship between MRI-based brain electrical conductivity, protein aggregation, cognition, and gene expression.

methodsBrain conductivity maps were reconstructed and correlated with PET protein signals, cognitive performance, and plasma protein levels. The diagnostic potential of conductivity for dementia was assessed, and transcriptomic analysis using the Allen Human Brain Atlas elucidated the underlying biological processes.

resultsIncreased brain conductivity was associated with Aβ and tau aggregation in specific brain regions, cognitive decline, and plasma protein levels. Conductivity also improved dementia discrimination performance, and higher gene expression related to ion transport, cellular development, and signaling pathways was observed. DISCUSSION: Brain electrical conductivity shows promise as a biomarker for dementia, correlating with protein aggregation and relevant cellular processes. HIGHLIGHTS: Brain tissue conductivity correlates with Aβ and tau aggregation in dementia. Brain tissue conductivity correlates with cognitive scores and GMV. CSF conductivity correlates with plasma protein levels. Combining conductivity with GMV improves dementia diagnosis accuracy. Gene expression in ion processes, cell development, and signaling links to conductivity.

Indexed as

BrainDementiaElectric ConductivityMagnetic Resonance ImagingAgedAmyloid beta-PeptidesBiomarkersCognitive DysfunctionFemaleHumansMalePositron-Emission Tomographytau ProteinsAmyloid beta-PeptidesBiomarkerstau Proteinsdementiaelectrical conductivityMRIPETpositron emission tomographyprotein aggregation

Identifiers

PMID40551292
PMCPMC12185248

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Registered trials

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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.