Evidence map›Paper›PMID 41923147›Full record

SynthesisBMC sports science, medicine & rehabilitation2026

Brain-derived signals related to ball kicking movement in soccer and technologies employed: a systematic literature review with gap map.

Nicole Unsihuay, Filipe Manuel Clemente, Robert Trybulski, Rohit Kumar Thapa, Murilo Henrique Faria, Fanny Lys Casado, Fernando Zvietcovich, Luiz H Palucci Vieira

Abstract readSystematic Review
In one paragraph

Synthesis in BMC sports science, medicine & rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nicole UnsihuayDepartamento Académico de Ingeniería, Sección de Bioingeniería, Research Group on Technology Applied to Health and Physical Performance - TeHealP@PUCP, Pontificia Universidad Católica del Perú, Lima, Peru.ORCID http://orcid.org/0009-0000-0455-3612
Filipe Manuel ClementeDepartment of Biomechanics and Sport Engineering, Gdansk University of Physical Education and Sport, Gdansk, Poland.ORCID http://orcid.org/0000-0001-9813-2842
Robert TrybulskiMedical Department, Wojciech Korfanty Upper Silesian Academy in Katowice, Katowice, 40-659, Poland.ORCID http://orcid.org/0000-0002-4276-4813
Rohit Kumar ThapaSymbiosis School of Sports Sciences, Symbiosis International (Deemed University), Pune, India.ORCID http://orcid.org/0000-0002-1258-9065
Murilo Henrique FariaSão Paulo State University (UNESP), Campus Bauru, Bauru, 17033-360, Brazil.ORCID http://orcid.org/0000-0002-2375-9330
Fanny Lys CasadoDepartamento Académico de Ingeniería, Sección de Bioingeniería, Research Group on Technology Applied to Health and Physical Performance - TeHealP@PUCP, Pontificia Universidad Católica del Perú, Lima, Peru.ORCID http://orcid.org/0000-0002-8791-626X
Fernando ZvietcovichDepartamento Académico de Ingeniería, Sección de Bioingeniería, Research Group on Technology Applied to Health and Physical Performance - TeHealP@PUCP, Pontificia Universidad Católica del Perú, Lima, Peru.ORCID http://orcid.org/0000-0003-2467-4168
Luiz H Palucci VieiraDepartamento Académico de Ingeniería, Sección de Bioingeniería, Research Group on Technology Applied to Health and Physical Performance - TeHealP@PUCP, Pontificia Universidad Católica del Perú, Lima, Peru. luiz.palucci@pucp.edu.pe.ORCID http://orcid.org/0000-0001-6981-756X

Funding

ongoing assignment received from PUCP Tenure Track program
6 · The paper itself

Abstract

backgroundRecent technological advances have enabled the development of portable data acquisition systems that facilitate the collection of brain signals during sports tasks. The main objective of the present systematic review was to collate evidence regarding studies that have analysed brain-derived indices related to ball kicking action.

methodsThe PRISMA guidelines were followed in the protocol for this review. Six electronic databases were searched (IEEE Xplore, Scopus, Web of Science, APA PsycNet, EBSCOHost, and PubMed). The search string followed a PICOS/PECOS framework: participants as human able-bodied subjects regardless of age, evaluated while performing a ball kick task, and reported results of brain-derived metrics. The RoBANS tool was used to evaluate the risk-of-bias of the included studies.

resultsThe database searches resulted in a total of 1748 records, of which 8 original research articles met all the inclusion criteria. Most studies used EEG systems while few employed fNIRS. Qualitative synthesis indicated that skilled ball kicking performance was generally accompanied by phase-specific cortical dynamics (e.g., within frontal, sensorimotor/central, and parieto-occipital regions) whereas anxiety and injury appear to shift cortical engagement toward potentially compensatory, less efficient control strategies. Data on measurement error was limited while blinding aspects were frequently omitted across studies. Finally, one problem identified in this review was that only one-fourth studies used an opponent attempting to block the shots.

conclusionsPreliminary evidence suggest that kicking outcomes tended to be linked with specific brain patterns. Future studies need to improve the design of experimental tasks so that they more closely resemble what occurs in a real game.

trial registrationThe review protocol was registered in OSF Preregistration under ID #NZASB.

Indexed as

BiomechanicsEEGfNIRSMeasurementPortable neuroimaging systemsTeam sports

Identifiers

PMID41923147
PMCPMC13169947

What OpenQuestion holds

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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.