Evidence map›Paper›PMID 42091654›Full record

ArticleScientific reports2026

Visual information modulates brain network characteristics during static balance following ACL reconstruction - A graph theoretical analysis.

Adam Grinberg, Tim Lehmann, Johan Strandberg, Gjergji Cobani, Charlotte K Häger

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Adam Grinberg *Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden. adam.grinberg@umu.se.
Tim Lehmann *Exercise Science & Neuroscience Unit, Department of Exercise & Health, Faculty of Science, Paderborn University, Paderborn, Germany.
Johan StrandbergDepartment of Statistics, Umeå University, Umeå, Sweden.
Gjergji CobaniDepartment of Diagnostics and Intervention, Umeå University, Umeå, Sweden.
Charlotte K HägerDepartment of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term balance impairments are prevalent after anterior cruciate ligament (ACL) injury and are possibly linked to an overreliance on visual information and related cortical processing. We therefore aimed to explore characteristics of functional brain networks related to postural control with and without vision following ACL reconstruction (ACLR). Twenty-seven individuals after ACLR and 24 non-injured controls performed single-leg balance tasks under eyes-open/eyes-closed conditions. Graph-theoretical measures of functional network segregation (clustering coefficient, CC) and integration (path length, PL) were derived from mobile electroencephalography. Sway characteristics were calculated based on centre of pressure (CoP; area and velocity) and the mean distance between CoP and centre of mass (CoM). Knee antero-posterior kinematics were also explored. Group effects were analysed using permutation-based ANCOVA. During eyes-open only, the ACLR group exhibited greater cortical network segregation (higher CC; p = 0.025) in the alpha-1 band (8-10 Hz). While sway characteristics were similar between groups, the ACLR leg demonstrated greater knee flexion compared to their contralateral leg (p = 0.036). Individuals post-ACLR showed more efficient functional brain connectivity during eyes-open, combined with kinematic adaptations in their injured leg. These findings suggest post-ACLR neural adaptations of postural control mechanisms, particularly when visual information is available.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionBrainNerve NetPostural BalanceAdultBiomechanical PhenomenaElectroencephalographyFemaleHumansMaleYoung AdultAnterior cruciate ligamentbrain network segregationEEGfunctional connectivitygraph theorypostural control

Identifiers

PMID42091654
PMCPMC13149860

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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.