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Velocity-dependent quadriceps neuromuscular activation asymmetry after anterior cruciate ligament reconstruction: A pilot secondary analysis of a public electromyographic dataset
*Corresponding author: Amr Khafagy, Department of Orthopaedic Surgery, Faculty of Medicine, Misr University for Science and Technology (MUST), Giza, Egypt. khafagy.a@outlook.com
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Received: ,
Accepted: ,
How to cite this article: Khafagy A, Hamza MS. Velocity-dependent quadriceps neuromuscular activation asymmetry after anterior cruciate ligament reconstruction: A pilot secondary analysis of a public electromyographic dataset. J Musculoskelet Surg Res. doi: 10.25259/JMSR_129_2026
Abstract
Objectives:
Quadriceps neuromuscular dysfunction is a recognized sequela of anterior cruciate ligament reconstruction (ACLR) and may persist despite clinical recovery. Persistent activation deficits impair functional performance and elevate reinjury risk. This pilot study investigated quadriceps neuromuscular activation asymmetry after ACLR using a publicly available electromyographic (EMG) dataset, comparing activation symmetry between reconstructed and contralateral limbs and relative to healthy controls.
Methods:
In this pilot secondary observational analysis, surface EMG recordings from isokinetic knee extension were analyzed from a publicly available Dryad dataset. The dataset comprised 22 participants: 12 with prior ACLR and 10 healthy controls. Vastus lateralis EMG was recorded at 90°/s and 180°/s. Peak EMG amplitude and root-mean-square (RMS) activation were extracted per participant. Limb symmetry indices (LSIs) were calculated from involved and uninvolved limbs. Between-group comparisons used independent samples t-tests or nonparametric equivalents.
Results:
Individuals with ACLR demonstrated greater variability in quadriceps EMG activation patterns compared with healthy controls. LSI analysis revealed persistent neuromuscular asymmetry in reconstructed limbs, most pronounced during higher-velocity contractions. Healthy participants exhibited consistently balanced bilateral activation, whereas the ACLR group demonstrated substantially wider dispersion of symmetry values during isokinetic knee extension tasks.
Conclusion:
Quadriceps neuromuscular activation asymmetry persists after ACLR and is detectable using surface EMG during isokinetic testing, with velocity-dependent deficits most apparent at higher contraction speeds. These pilot findings provide effect size estimates to support the design of future adequately powered prospective studies.
Keywords
Anterior cruciate ligament
Electromyography
Limb symmetry indices
Neuromuscular control
Quadriceps
INTRODUCTION
Anterior cruciate ligament (ACL) rupture is among the most common serious injuries affecting the knee joint, particularly in physically active individuals and athletes. Epidemiological studies estimate that more than 200,000 ACL injuries occur annually in the United States alone, with a substantial proportion requiring surgical reconstruction to restore knee stability and functional capacity.[1] Although ACL reconstruction (ACLR) has become the standard surgical treatment for symptomatic instability, postoperative recovery is often complicated by persistent deficits in quadriceps strength, neuromuscular control, and functional performance.[2,3] These impairments may persist for months or even years after surgery and have been implicated as important contributors to delayed return to sport and increased risk of reinjury.[4]
Quadriceps neuromuscular dysfunction following ACL injury and ACLR is multifactorial. In addition to structural ligament disruption, altered afferent signaling from mechanoreceptors within the injured ligament can lead to arthrogenic muscle inhibition (AMI), characterized by reflexive suppression of quadriceps motor neuron excitability.[5,6] This neuromuscular inhibition may impair voluntary muscle activation despite adequate muscle strength and structural healing of the reconstructed ligament. Consequently, traditional clinical assessments based solely on strength measurements or functional testing may underestimate persistent neuromuscular deficits that can compromise dynamic knee stability during athletic activities.[7]
Electromyography (EMG) provides a valuable tool for quantifying neuromuscular activation patterns during dynamic movements and rehabilitation exercises. Surface EMG recordings enable objective evaluation of muscle recruitment, activation amplitude, and temporal contraction patterns, offering insights into neuromuscular control strategies that cannot be captured through conventional strength testing alone.[8] In the context of ACL rehabilitation, EMG analysis has been used to investigate quadriceps activation deficits, altered co-contraction patterns, and asymmetries between reconstructed and contralateral limbs during functional tasks.[9,10] These neuromuscular abnormalities may persist even in individuals who demonstrate apparently normal clinical recovery.
Limb symmetry has emerged as a widely used metric for evaluating functional recovery following ACLR. The limb symmetry index (LSI), calculated as the ratio of performance between the reconstructed and contralateral limb, is commonly employed in return-to-sport assessment protocols.[11] Although symmetry thresholds of 90% or higher are often considered indicative of satisfactory recovery, recent investigations suggest that neuromuscular activation patterns may remain abnormal even when strength or functional symmetry appears acceptable.[12] Persistent neuromuscular asymmetry may therefore represent an underrecognized factor contributing to recurrent injury and long-term functional impairment after ACLR.
Recent advances in open science and data sharing have made publicly accessible biomechanical datasets available, enabling secondary analyses that may yield additional insights into musculoskeletal rehabilitation. Public repositories such as Dryad provide curated datasets that enable researchers to investigate neuromuscular and biomechanical variables using standardized experimental protocols, thereby promoting scientific transparency and reproducibility while circumventing logistical and financial barriers associated with primary data collection.[13]
Despite growing interest in neuromuscular recovery following ACLR, relatively few studies have examined EMG-derived activation symmetry using publicly available datasets acquired during controlled isokinetic exercise. Evaluating activation patterns at different contraction velocities may reveal velocity-dependent neuromuscular deficits not apparent during conventional strength assessments. The present pilot study was therefore designed to provide preliminary data on quadriceps neuromuscular activation asymmetry following ACLR, assess the feasibility of this analytical approach using a publicly available EMG dataset, and generate effect size estimates to power a future larger-scale investigation. Specifically, we aimed to compare EMG activation characteristics between reconstructed and contralateral limbs and to examine differences in neuromuscular symmetry between individuals with ACLR and healthy controls. We hypothesized that individuals with prior ACLR would demonstrate greater variability in quadriceps activation patterns and reduced neuromuscular symmetry compared with healthy individuals, particularly during higher-velocity contractions.
MATERIALS AND METHODS
This investigation was designed as a pilot secondary observational analysis to evaluate quadriceps neuromuscular activation asymmetry following ACLR using EMG recordings obtained during controlled isokinetic knee extension exercises. The study was conducted and reported in accordance with the strengthening the reporting of observational studies in epidemiology guidelines. Because the investigation involved analysis of anonymized, publicly available biomechanical data without identifiable patient information, institutional review board approval and informed consent were not required.[13]
Dataset source
The dataset analyzed in this study was obtained from the publicly accessible Dryad digital repository (doi:10.5061/dryad.66t1g1k4j).[13] The original dataset consisted of EMG recordings collected during a controlled laboratory investigation evaluating neuromuscular activity during isokinetic knee extension tasks. The dataset included 22 participants: 12 with a history of ACLR and 10 healthy controls without prior knee ligament injury. Surface EMG signals were recorded from the vastus lateralis (VL) muscle during knee extension exercises performed on an isokinetic dynamometer at angular velocities of 90°/s and 180°/s. The selection of the VL as the recorded muscle was determined by the original experimental design of the source dataset. The VL has been widely used as a representative surface EMG channel for quadriceps activation in isokinetic paradigms, owing to its superficial anatomical location and reliable signal acquisition characteristics.[8] We acknowledge that the vastus medialis, particularly the oblique portion (vastus medialis oblique [VMO]), is the most clinically sensitive component of the quadriceps to arthrogenic inhibition following knee surgery, and its inclusion in future prospective EMG studies is strongly recommended (limitations).[5] The dataset included recordings from both the involved and contralateral uninvolved limbs in ACLR participants, as well as bilateral recordings in healthy controls. Detailed clinical metadata, including graft type, time since surgery, rehabilitation protocol, sport level, and return-to-sport status, were not available in the source dataset. This limitation is acknowledged and discussed in the Limitations section. The unequal group sizes reflect the original experimental design and were not modifiable for this secondary analysis.
Signal processing and feature extraction
Raw EMG signals were provided as time-series recordings and processed using standardized signal processing techniques commonly employed in neuromuscular biomechanics research. Each recording was inspected for signal integrity and artifacts before quantitative analysis. For each participant and contraction condition, peak EMG amplitude and RMS activation values were calculated to quantify quadriceps muscle activation during the isokinetic knee extension task. Peak EMG amplitude was defined as the maximum recorded activation value within the contraction interval. In contrast, RMS amplitude was calculated to represent the average magnitude of muscle activation across the entire contraction cycle. Statistical analyses were performed using IBM Statistical Package for Social Sciences Statistics version 26 (IBM Corp., Armonk, New York, USA) [Figure 1].

LSI calculation
To evaluate neuromuscular symmetry between limbs, an LSI was calculated for each ACLR participant using the ratio between EMG activation values of the involved and uninvolved limbs: LSI = (activation of involved limb/activation of uninvolved limb) × 100. LSIs were calculated separately for peak EMG amplitude and RMS activation values at each contraction velocity.
Statistical analysis
Descriptive statistics were calculated to characterize neuromuscular activation patterns across groups. Continuous variables were assessed for normality using the Shapiro-Wilk test. For normally distributed variables, independent samples t-tests were used for between-group comparisons; paired t-tests were used for within-ACLR limb comparisons. Mann-Whitney U and Wilcoxon signed-rank tests were applied for non-normally distributed variables. All tests were two-tailed; significance was defined as p < 0.05. Effect sizes (Cohen’s d for parametric; rank-biserial correlation for nonparametric tests) were reported to facilitate power calculations for a future confirmatory study.
RESULTS
Twenty-two participants were included in this pilot analysis: 12 with a history of ACLR and 10 healthy controls. EMG recordings from the VL were successfully obtained for all participants during isokinetic knee extension tasks at angular velocities of 90°/s and 180°/s. No recordings were excluded because of signal artifacts or incomplete data. Extracted neuromuscular variables are summarized in Tables 1 and 2.
| Variable | Description | Measurement details |
|---|---|---|
| Total participants | Participants included in the dataset | 22 individuals |
| ACLR group | Participants with prior ACLR | 12 participants |
| Control group | Healthy participants without knee ligament injury | 10 participants |
| Muscle analyzed | EMG recordings from quadriceps | Vastus lateralis |
| Testing modality | Isokinetic knee extension using dynamometer | Controlled laboratory setting |
| Contraction velocities | Angular velocities for knee extension testing | 90°/s and 180°/s |
| EMG variables extracted | Neuromuscular activation metrics | Peak amplitude and RMS activation |
ACLR: Anterior cruciate ligament reconstruction; EMG: Electromyography; RMS: Root-mean-square
| Group | Velocity (°/s) | Peak EMG Amplitude (mean±SD) | RMS Activation (mean±SD) | Peak EMG LSI (%) (mean±SD) | RMS LSI (%) (mean±SD) |
|---|---|---|---|---|---|
| ACLR | 90 | 0.78±0.21 | 0.42±0.10 | 91.4±8.6 | 90.2±7.9 |
| ACLR | 180 | 0.83±0.28 | 0.46±0.12 | 88.3±10.4 | 87.5±9.8 |
| Control | 90 | 0.81±0.18 | 0.44±0.09 | 97.6±3.1 | 96.8±3.5 |
| Control | 180 | 0.85±0.20 | 0.47±0.11 | 96.9±3.8 | 96.1±4.2 |
LSI: Limb symmetry index=(Involved limb/uninvolved limb)×100; SD: Standard deviation; ACLR: Anterior cruciate ligament reconstruction; EMG: Electromyography; RMS: Root-mean-square
Participants with ACLR demonstrated greater variability in quadriceps EMG activation patterns compared with healthy controls. Although peak activation values were generally comparable between groups during lower-velocity contractions, greater dispersion of activation amplitudes was observed in the ACLR group, particularly during higher-velocity contractions [Figure 2].

Analysis of LSIs revealed notable differences between groups. In healthy participants, neuromuscular activation symmetry was consistently high, with LSI values approaching or exceeding 95% across both velocities. In contrast, the ACLR group demonstrated lower and more variable symmetry values. Several ACLR participants demonstrated LSI values below the commonly used 90% clinical threshold for functional recovery [Figure 3].

Velocity-dependent differences were also observed. During contractions at 180°/s, the ACLR group demonstrated greater variability in EMG activation amplitude and reduced symmetry between limbs compared with 90°/s. Peak EMG activation at 180°/s tended to be lower in reconstructed limbs compared with contralateral limbs, with a medium effect size (Cohen’s d = 0.62) [Figure 4].

DISCUSSION
The present pilot study investigated quadriceps neuromuscular activation asymmetry following ACLR through secondary analysis of a publicly available EMG dataset. The principal finding is that the ACLR group demonstrates greater variability in quadriceps activation patterns and reduced neuromuscular symmetry compared with healthy controls, particularly during higher-velocity contractions. Given the exploratory nature and modest sample size, these findings should be interpreted as hypothesis-generating rather than confirmatory.
Persistent quadriceps dysfunction following ACL injury and ACLR has been widely reported. Quadriceps weakness and impaired voluntary activation are thought to result from AMI, which suppresses quadriceps motor neuron excitability even after structural stabilization of the knee has been achieved.[5,6]
Mechanistic Pathway of AMI: Following ACL rupture and reconstruction, mechanoreceptors within the native ligament are disrupted, reducing afferent input to spinal quadriceps alpha motor neurons and thereby impairing voluntary activation. Post-operative joint effusion further activates inhibitory interneurons through Group II and IV afferents, amplifying motor neuron suppression. This inhibitory cascade is disproportionately pronounced during high-velocity contractions, which depend on the rapid recruitment of type II motor units that are most susceptible to AMI. This neurophysiological pathway provides a mechanistic basis for the velocity-dependent activation asymmetry observed in the present study.[5,6]
The VMO is recognized as the most functionally vulnerable quadriceps component to AMI following knee surgery, as it is primarily responsible for terminal knee extension and medial patellar stabilization.[5] The exclusive use of VL EMG in the present analysis, dictated by the source dataset, may have underestimated the true magnitude of quadriceps neuromuscular deficits in the ACLR population, as VMO inhibition may be disproportionately greater. Future prospective investigations should incorporate multi-channel quadriceps EMG to capture the full profile of neuromuscular dysfunction following ACLR.
Limb symmetry has emerged as a widely used metric for evaluating functional recovery following ACLR, with thresholds of approximately 90% or higher considered indicative of adequate recovery.[11] The present study demonstrates that EMG-derived LSI values may serve as a complementary metric to conventional strength-based assessments, as some participants demonstrated clinical-threshold LSI values yet showed persistent variability in activation patterns.
The velocity-dependent pattern observed, greater asymmetry at 180°/s than 90°/s, is consistent with the hypothesis that higher-velocity contractions impose greater demands on neuromuscular coordination and rapid motor unit recruitment, thereby exposing deficits in neuromuscular control that remain undetected during slower or isolated strength assessments [Table 3].[8]
| Condition | Observed pattern | Interpretation | Clinical implication |
|---|---|---|---|
| Low velocity (90°/s) | Relatively symmetrical activation | Deficits less apparent during slower contractions | Strength tests may appear normal despite underlying deficits |
| High velocity (180°/s) | Greater variability in EMG amplitude and symmetry | Higher neuromuscular demand reveals asymmetry | Dynamic assessments better identify persistent deficits |
| ACLR participants | Broader distribution of symmetry values | Incomplete neuromuscular recovery | Potential risk factor for reinjury |
| Control participants | Consistently high symmetry values | Balanced neuromuscular activation | Represents normal neuromuscular function |
EMG: Electromyography, ACLR: Anterior cruciate ligament reconstruction
Regarding athletic level: The available dataset did not include sport classification data. However, as noted by one reviewer, AMI may be less prevalent or less persistent in elite athletes due to superior baseline neuromuscular conditioning before injury. Future prospective studies should stratify participants by athletic level to evaluate this hypothesis.
The findings also highlight the potential value of open biomechanical datasets such as Dryad in advancing musculoskeletal research, enabling secondary analyses that generate new insights without the logistical constraints of primary data collection.[13]
Strengths
Strengths of this study include: standardized isokinetic EMG data acquired under controlled laboratory conditions; objective quantification of activation metrics; use of LSI as a clinically validated metric; and transparent reporting of effect sizes to facilitate future study design.
Limitations and future directions
Several limitations require acknowledgment. The most important is the small, unequal sample sizes inherent to the source dataset (12 ACLR, 10 controls), which constrains statistical power and limits generalizability. We wish to emphasize, however, that this limitation is intrinsic to the secondary analytical design and constitutes the primary scientific rationale for the pilot designation of this study. The explicit purpose of this investigation was not to provide definitive confirmatory evidence, but rather to generate the effect size estimates necessary to power a future prospective study. Formal power analysis based on the observed peak EMG effect size (Cohen’s d ≈ 0.62) indicates that a future prospective study recruiting equal groups of approximately 40 participants per arm would achieve 80% statistical power at α = 0.05. This represents a concrete and actionable contribution of the present pilot analysis. The absence of clinical metadata, including graft type, time since surgery, rehabilitation protocol, sport level, and return-to-sport status, limits interpretability and precludes subgroup analyses. The exclusive reliance on VL EMG, dictated by the source dataset, may underestimate the full spectrum of quadriceps neuromuscular dysfunction; the vastus medialis is particularly vulnerable to arthrogenic inhibition and should be included in future studies.[5] The analysis was limited to isokinetic knee extension and may not represent neuromuscular patterns during complex athletic movements.
Future investigations should: (1) prospectively recruit larger balanced cohorts of ACLR participants with detailed clinical characterization; (2) incorporate multi-channel EMG from all four quadriceps heads; (3) include comparison groups such as patients undergoing complex meniscal repair surgery, which may produce distinct AMI profiles; and (4) stratify by athletic level and graft type. Longitudinal designs tracking neuromuscular recovery throughout rehabilitation are also warranted.
CONCLUSION
In this pilot secondary analysis of a publicly available EMG dataset, individuals with ACLR demonstrated greater variability in quadriceps neuromuscular activation and reduced limb symmetry during isokinetic knee extension tasks compared with healthy controls. Neuromuscular asymmetry was more pronounced during higher-velocity contractions, suggesting that dynamic testing conditions reveal deficits not captured through conventional strength-based assessments. The velocity-dependent pattern is consistent with the neurophysiological mechanism of AMI, which disproportionately affects rapid motor unit recruitment during high-velocity tasks. The effect sizes observed in this pilot analysis provide a preliminary basis for the design of a larger-scale prospective investigation, including comparative studies evaluating EMG profiles across different knee surgical procedures.
Data availability statement
The dataset analyzed during the current study is publicly available in the Dryad digital repository (doi: 10.5061/dryad.66t1g1k4j). Additional analytical outputs are available from the corresponding author upon reasonable request.
Recommendations:
Based on the findings of this pilot analysis, the following recommendations are proposed for future research and clinical practice: (1) Future prospective studies should recruit balanced cohorts of at least 40 participants per arm, incorporating detailed clinical characterization including graft type, time since surgery, rehabilitation stage, athletic level, and return-to-sport status. (2) Multi-channel surface EMG encompassing all four quadriceps heads, with particular emphasis on the vastus medialis oblique, should be employed to capture the full neuromuscular deficit profile following ACLR. (3) Isokinetic EMG testing at multiple angular velocities, including velocities exceeding 180°/s, should be incorporated into return-to-sport assessment protocols to unmask velocity-dependent activation asymmetries that may be missed by conventional strength testing. (4) Comparison cohorts including patients undergoing alternative knee surgical procedures (e.g., complex meniscal repair) should be included to delineate procedure-specific arthrogenic muscle inhibition profiles. (5) Longitudinal designs tracking neuromuscular recovery from early postoperative rehabilitation through return to sport are strongly encouraged to characterize the temporal trajectory of activation asymmetry resolution.
Acknowledgment:
The authors would like to thank the investigators who made the original dataset publicly available through the Dryad digital repository, thereby facilitating secondary analyses that advance musculoskeletal research. No external assistance in writing, editing, or data analysis was received.
Authors’ contributions:
AK and MSH: Contributed to the study conception and design. Literature review and manuscript preparation were performed by both authors; AK: Performed statistical analysis and data acquisition; MSH: Performed manuscript editing. All authors have critically reviewed and approved the final draft and are responsible for the manuscript’s content and similarity index.
Ethical approval:
Institutional Review Board approval is not required as this study involved secondary analysis of an anonymized, publicly available dataset and did not include identifiable patient information. Therefore, ethical approval and informed consent were not required in accordance with institutional research guidelines and the principles of the Declaration of Helsinki.
Declaration of patient’s consent:
Patient’s consent not required as there are no patients in this study.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was use of AI-assisted technology. AI writing tools were used only for language refinement and editorial support under the authors’ supervision. No AI tools were used for data analysis or decision-making.
Conflicts of interest:
There are no conflicting relationships or activities.
Financial support and sponsorship: This study did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
References
- Understanding and preventing noncontact anterior cruciate ligament injuries: A review of the hunt valley II meeting, January 2005. Am J Sports Med. 2006;34:1512-32.
- [CrossRef] [PubMed] [Google Scholar]
- Maximizing quadriceps strength after ACL reconstruction. Clin Sports Med. 2008;27:405-24.
- [CrossRef] [PubMed] [Google Scholar]
- Deficits in quadriceps strength and patient-oriented outcomes at return to activity after ACL reconstruction: A review of the current literature. Sports Health. 2015;7:231-8.
- [CrossRef] [PubMed] [Google Scholar]
- Incidence of second ACL injuries 2 years after primary ACL reconstruction and return to sport. Am J Sports Med. 2014;42:1567-73.
- [CrossRef] [PubMed] [Google Scholar]
- Quadriceps arthrogenic muscle inhibition: Neural mechanisms and treatment perspectives. Semin Arthritis Rheum. 2010;40:250-66.
- [CrossRef] [PubMed] [Google Scholar]
- Arthrogenic muscle inhibition: A limiting factor in joint rehabilitation. J Sport Rehabil. 2000;9:135-59.
- [CrossRef] [Google Scholar]
- Optimization of the return-to-sport paradigm after anterior cruciate ligament reconstruction: A critical step back to move forward. Sports Med. 2017;47:1487-500.
- [CrossRef] [PubMed] [Google Scholar]
- The use of surface electromyography in biomechanics. J Appl Biomech. 1997;13:135-63.
- [CrossRef] [Google Scholar]
- Dynamic stability after ACL injury: Who can hop? Knee Surg Sports Traumatol Arthrosc. 2000;8:262-9.
- [CrossRef] [PubMed] [Google Scholar]
- Identification of athletes at future risk of anterior cruciate ligament ruptures by neuromuscular screening. Am J Sports Med. 2009;37:1967-73.
- [CrossRef] [PubMed] [Google Scholar]
- Factors used to determine return to unrestricted sports activities after anterior cruciate ligament reconstruction. Arthroscopy. 2011;27:1697-705.
- [CrossRef] [PubMed] [Google Scholar]
- Functional outcomes after ACL reconstruction: More than limb symmetry. J Orthop Sports Phys Ther. 2012;42:601-14.
- [Google Scholar]
- Post-ACL reconstruction surgery rehabilitation dataset using isokinetic dynamometer and wearable IMUs. Dryad Digit Repository.
- [Google Scholar]

