Evidence map›Paper›PMID 39175554›Full record

ArticleJournal of biomedical physics & engineering2024

Quantitative Electroencephalography and Balance Test Correlations in Patients with Chronic Patellofemoral Pain.

Naghmeh Ebrahimi, Amin Kordi Yoosefinejad, Zahra Rojhani-Shirazi, Mohammad Nami, Ali-Mohammad Kamali

Abstract read
In one paragraph

Article in Journal of biomedical physics & engineering, 2024. 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

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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

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

5 authors.

Naghmeh EbrahimiStudent Research Committee, School of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Amin Kordi YoosefinejadDepartment of Physical Therapy, School of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Zahra Rojhani-ShiraziDepartment of Physical Therapy, School of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad NamiNeuroscience Center, Instituto de Investigaciones Cientificas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge 084301103, Panama.
Ali-Mohammad KamaliNeuroscience Laboratory, NSL (Brain, Cognition and Behavior), Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quantitative Electroencephalography (QEEG) is a tool helping better understand the electrical activity of the brain and a non-invasive method to assess cortical activity. To date, the brain activity of patients with chronic patellofemoral pain (PFP) has not been investigated. Objective: The current study aimed to investigate the effect of PFP on higher levels of the central nervous system by assessing the correlation between QEEG and modified excursion balance test (mSEBT) in patients with PFP. Material and Methods: Twenty-two patients with chronic PFP participated in this observational study. Their cortical electrical activity was recorded in a resting state with their eyes open, via a 32-channel QEEG. C3, C4, and Cz were considered as regions of interest. In addition to QEEG, the balance performance of the participants was evaluated via mSEBT. Results: The obtained findings revealed a negative and moderate to high correlation between theta absolute power and posteromedial direction of mSEBT in C4 (P 0.000, r -0.68), Cz (P 0.001, r -0.66), and C3 (P 0.000, r -0.70). Additionally, a significantly close correlation is between alpha absolute power in C3 (P 0.001, r -0.70), C4 (P 0.000, r -0.71), and Cz (P 0.000, r -0.74) and the posteromedial direction of mSEBT. No significant correlations were between the other two directions of mSEBT, alpha, and theta. Conclusion: According to our results, balance impairment in patients with chronic PFP correlated with their QEEG neurodynamics. Moreover, our findings demonstrated the efficiency of QEEG as a neuromodulation method for patients with PFP.

Indexed as

Brain WavesCerebral CortexCorrelationElectroencephalographyPatellofemoral PainPostural Balance

Identifiers

PMID39175554
PMCPMC11336049

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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.