Evidence map›Paper›PMID 42040156›Full record

ArticleNational science review2026

Lifespan development of EEG alpha and aperiodic component sources is shaped by the connectome and axonal delays.

Ronaldo Garcia Reyes, Ariosky Areces Gonzalez, Ying Wang, Yu Jin, Shahwar Yasir, Maria Luisa Bringas-Vega, Mitchell Valdes-Sosa, Cheng Luo, Peng Xu, Viktor Jirsa and 3 more

Abstract read
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In one paragraph

Article in National science review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Ronaldo Garcia ReyesClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0001-6206-5852
Ariosky Areces GonzalezClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0001-7255-6196
Ying WangClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0002-1947-3313
Yu JinClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.
Shahwar YasirClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0001-7847-5856
Maria Luisa Bringas-VegaClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0003-2507-1959
Mitchell Valdes-SosaNeuroinformatics, Cuban Neurosciences Center, Havana 11300, Cuba.ORCID https://orcid.org/0000-0002-1580-8374
Cheng LuoClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0003-0524-5886
Peng XuLaboratory for Brain Science and Artificial Intelligence, Southwest University of Science and Technology, Mianyang 621010, China.
Viktor JirsaAix Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106; Marseille 13005, France.ORCID https://orcid.org/0000-0002-8251-8860
Dezhong YaoClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0003-0336-0522
Ludovico MinatiClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0002-2532-1674
Pedro A Valdes-SosaClinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 610054, China.ORCID https://orcid.org/0000-0001-5485-2661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce [Formula: see text]-[Formula: see text]NET, a model of cortical activity that represents EEG aperiodic ([Formula: see text]) and [Formula: see text]-rhythm ([Formula: see text]) components as Hida-Matérn processes constrained by anatomical connectivity and interareal conduction delays. This approach integrates the decomposition of spectral Granger causality and quantifies the lifespan trajectories of spectral processes. Using Bayesian inversion on cross-spectral rsEEG data from 1965 participants aged 5-100 (HarMNqEEG dataset), the model estimates cortical activity with high test-retest reliability, effective connectivity patterns and conduction delays. Given the approximate cortical hierarchy inferred from the inverted T1w/T2w myelination map, used as a proxy for feedforward and feedback organization, the aperiodic and [Formula: see text] components reveal opposite directional networks across the lifespan: the aperiodic component is localized in the frontal cortex, whereas the [Formula: see text] component is localized in the posterior cortex, with feedforward and feedback-directed connections, respectively. For both processes, the spectral parameters follow a nonlinear inverted U-shape lifespan trajectory. Finally, the model uniquely estimates global conduction delays, which are negatively correlated with [Formula: see text] frequency and with independent cortical myelination (T1w/T2w) measures, consistent with a mechanistic link between conduction delays and [Formula: see text]-rhythm modulation.

Indexed as

alpha rhythmconduction delayEEG datasetlifespansource analysisspectral component

Identifiers

PMID42040156
PMCPMC13105192

What OpenQuestion holds

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LicenceCC BY
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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.