Evidence map›Paper›PMID 37661878›Full record

ArticleJournal of Alzheimer's disease : JAD2023

Uncovering the System Vulnerability and Criticality of Human Brain Under Dynamical Neuropathological Events in Alzheimer's Disease.

Jingwen Zhang, Qing Liu, Haorui Zhang, Michelle Dai, Qianqian Song, Defu Yang, Guorong Wu, Minghan Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

8 authors at 4 institutions in 1 country.

Jingwen ZhangDepartment of Computer Science, Wake Forest University, Winston-Salem, NC, USA.
Qing LiuDepartment of Mathematics, University of North Georgia, Oakwood, GA, USA.
Haorui ZhangDepartment of Mathematics, University of North Georgia, Oakwood, GA, USA.
Michelle DaiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Qianqian SongDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Defu YangDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Guorong WuDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Minghan ChenDepartment of Computer Science, Wake Forest University, Winston-Salem, NC, USA.
Wake Forest University · USUniversity of North Carolina at Chapel Hill · USUniversity of North Georgia · USHarvard University · US

Funding

Uncovering the Heterogeneity of Neurodegeneration Trajectories in Alzheimer's Disease Using a Network Guided Reaction-Diffusion ModelR03AG073927 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WU, GUORONG · 2021 to 2022
$317k
NIA NIH HHS R03 AG073927
6 · The paper itself

Abstract

backgroundDespite the striking efforts in investigating neurobiological factors behind the acquisition of amyloid-β (A), protein tau (T), and neurodegeneration ([N]) biomarkers, the mechanistic pathways of how AT[N] biomarkers spreading throughout the brain remain elusive.

objectiveTo disentangle the massive heterogeneities in Alzheimer's disease (AD) progressions and identify vulnerable/critical brain regions to AD pathology.

methodsIn this work, we characterized the interaction of AT[N] biomarkers and their propagation across brain networks using a novel bistable reaction-diffusion model, which allows us to establish a new systems biology underpinning of AD progression. We applied our model to large-scale longitudinal neuroimages from the ADNI database and studied the systematic vulnerability and criticality of brains.

resultsOur model yields long term prediction that is statistically significant linear correlated with temporal imaging data, produces clinically consistent risk prediction, and captures the Braak-like spreading pattern of AT[N] biomarkers in AD development.

conclusionsOur major findings include (i) tau is a stronger indicator of regional risk compared to amyloid, (ii) temporal lobe exhibits higher vulnerability to AD-related pathologies, (iii) proposed critical brain regions outperform hub nodes in transmitting disease factors across the brain, and (iv) comparing the spread of neuropathological burdens caused by amyloid-β and tau diffusions, disruption of metabolic balance is the most determinant factor contributing to the initiation and progression of AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersBrainDisease Progressiontau ProteinsAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseAT[N] biomarkersbrain networkreaction-diffusion modelvulnerable and critical regions

Identifiers

PMID37661878
PMCPMC11177206
OpenAlexW4386366355

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.