Evidence map›Paper›PMID 41354670›Full record

ArticleNPJ systems biology and applications2025

Criticality and increased intrinsic neural timescales in stroke.

Kaichao Wu, Beth Jelfs, Qiang Fang, Leonardo L Gollo

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 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. Article
  2. 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

4 authors.

Kaichao WuInstitute for Cross-Disciplinary Physics and Complex Systems, IFISC (UIB-CSIC), Campus Universitat de les Illes Balears, Palma de Mallorca, Spain.
Beth JelfsDepartment of Electronic, Electrical, and Systems Engineering, University of Birmingham, Birmingham, UK.
Qiang FangDepartment of Biomedical Engineering, College of Engineering, Shantou University, Shantou, China. qiangfang@stu.edu.cn.
Leonardo L GolloInstitute for Cross-Disciplinary Physics and Complex Systems, IFISC (UIB-CSIC), Campus Universitat de les Illes Balears, Palma de Mallorca, Spain. leonardo@ifisc.uib-csic.es.

Funding

Australian Research Council (ARC), Future Fellowship FT200100942Juan De Le Cierva Fellowship JDC2024-055992-IMaría de Maeztu Program for Units of Excellence in R&D CEX2021-001164-MRamón y Cajal Fellowship RYC2022-035106-Ithe Li Ka Shing Foundation Cross-Disciplinary Research Grant 2020LKSFG01C
6 · The paper itself

Abstract

Stroke disrupts brain function beyond focal lesions, altering multiscale temporal dynamics essential for information processing. We investigated intrinsic neural timescales (INT) and other properties of long-range temporal correlations, using longitudinal fMRI data from 15 ischemic stroke patients across 6 months, and compared them to age-matched controls. Results show that stroke patients exhibited significantly prolonged INT in multiple cortical regions, reflecting slowed temporal dynamics and disrupted hierarchy. These dynamic changes persisted through recovery and were more pronounced in patients with poor outcomes, especially within cognitive control networks. Computational modeling suggested that stroke-induced INT prolongation driven by heightened neuronal excitability reflects a dynamic shift towards criticality. Our findings position long-range temporal correlations and INT as potential biomarkers for monitoring and predicting functional recovery. This framework provides a novel perspective on stroke-induced brain changes and suggests avenues for targeted neurorehabilitation using interventions aiming at restoring intrinsic temporal dynamics.

Indexed as

BrainStrokeAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRecovery of FunctionTime Factors

Identifiers

PMID41354670
PMCPMC12770600

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.