Evidence map›Paper›PMID 39762903›Full record

ArticleAlzheimer's research & therapy2025

Effects of Alzheimer's disease plasma marker levels on multilayer centrality in healthy individuals.

Alejandra García-Colomo, David López-Sanz, Ignacio Taguas, Martín Carrasco-Gómez, Carlos Spuch, María Comis-Tuche, Fernando Maestú

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2025. 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
–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

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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

3 citing papers in PubMed.

  1. Article
  2. Dynamic functional connectivity is modulated by the amount of p-Tau231 in blood in cognitively intact participants.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  3. 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

7 authors.

Alejandra García-Colomo *Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Pozuelo de Alarcón, 28223, Spain. algarc23@ucm.es.
David López-Sanz *Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, Pozuelo de Alarcón, 28223, Spain.
Ignacio TaguasCenter for Cognitive and Computational Neuroscience, Complutense University of Madrid, Pozuelo de Alarcón, 28223, Spain.
Martín Carrasco-GómezCenter for Cognitive and Computational Neuroscience, Complutense University of Madrid, Pozuelo de Alarcón, 28223, Spain.
Carlos SpuchTranslational Neuroscience Research Group, Galicia Sur Health Research Institute (IIS-Galicia Sur), SERGAS-UVIGO, CIBERSAM, Vigo, 36312, Spain.
María Comis-TucheTranslational Neuroscience Research Group, Galicia Sur Health Research Institute (IIS-Galicia Sur), SERGAS-UVIGO, CIBERSAM, Vigo, 36312, Spain.
Fernando MaestúCenter for Cognitive and Computational Neuroscience, Complutense University of Madrid, Pozuelo de Alarcón, 28223, Spain. fmaestuu@psi.ucm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in amyloid beta (Aβ) and phosphorylated tau brain levels are known to affect brain network organization but very little is known about how plasma markers can relate to these measures. We aimed to address the relationship between centrality network changes and two plasma pathology markers: phosphorylated tau at threonine 231 (p-tau231), a proxy for early Aβ change, and neurofilament light chain (Nfl), a marker of axonal degeneration.

methodsOne hundred and four cognitively unimpaired individuals were divided into a high pathology load (33 individuals; HP) group and a low pathology (71 individuals; LP) one. All participants underwent a magnetoencephalography (MEG) recording, a neuropsychological evaluation and plasma sampling. With the MEG recordings, a compound centrality score for each brain source was calculated that considered both intra- and inter-band links. For each group, the relationship between this centrality score and the two plasma markers was studied by means of correlation analyses. Furthermore, the relationship between the centrality score and the plasma markers among the HP and LP groups was compared. Lastly, we investigated whether hubs were more intensely affected by these changes.

resultsIncreasing concentrations of p-tau231, which is a proxy of Aβ pathology, were associated with greater theta centrality score of posterior areas that increased their connectedness in the theta range with the remaining areas, regardless of the latter's frequency range. The opposite relationship was found for left areas that decreased their centrality score in the gamma frequency range. These results only emerged for HP individuals, who showed a significantly different relationship between centrality and p-tau231 compared to LP individuals. Hubs' centrality score in the theta band was significantly more affected by p-tau231 levels compared to less central regions.

conclusionsEarly brain network reorganizations in cognitively unimpaired individuals are associated with elevated plasma p-tau231, a proxy for very early Aβ changes, only among individuals who show signs of a higher pathology load. Posterior centrality score increases in the theta band are congruent with previous literature and theoretical models, while gamma centrality score losses could be associated with inhibitory neuron dysfunction. Hubs were more intensely affected by p-tau231, and changed to a higher degree, thus corroborating hubs' vulnerability.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersMagnetoencephalographyNeurofilament Proteinstau ProteinsAgedBrainFemaleHumansMaleMiddle AgedNeuropsychological TestsPhosphorylationAmyloid beta-PeptidesBiomarkersneurofilament protein LNeurofilament Proteinstau ProteinsCognitively unimpairedHubsMagnetoencephalographyMultilayer centralityNeurofilament light chainPlasma biomarkersp-tau231

Identifiers

PMID39762903
PMCPMC11702184

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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.