Patellofemoral pain is associated with complex gait deviations captured by an artificial intelligence-derived gait index.
Patellofemoral pain is associated with complex gait deviations captured by an artificial intelligence-derived gait index.
- Research Article
- 10.1016/j.clinbiomech.2025.106716
- Jan 1, 2026
- Clinical biomechanics (Bristol, Avon)
Pain, fear, and movement: Cognitive-behavioural connections in patellofemoral pain.
- Research Article
13
- 10.1016/j.jbiomech.2020.109981
- Aug 4, 2020
- Journal of Biomechanics
Women with patellofemoral pain show altered motor coordination during lateral step down
- Research Article
10
- 10.1093/humrep/dev286
- Nov 15, 2015
- Human Reproduction
Paracervical block as pain treatment during second-trimester medical termination of pregnancy: an RCT with bupivacaine versus sodium chloride.
- Research Article
2
- 10.1016/j.knee.2025.02.010
- Jun 1, 2025
- The Knee
Can the combination of kinematics and electromyography enhance the identification of individuals with patellofemoral pain?
- Research Article
9
- 10.1016/j.clinbiomech.2020.105217
- Nov 11, 2020
- Clinical Biomechanics
Correlation of pain sensitization with muscle strength and angular kinematics in women with patellofemoral pain
- Discussion
1
- 10.1016/j.gaitpost.2015.06.190
- Jul 6, 2015
- Gait & Posture
Letter to the Editor on “Summary measures for clinical gait analysis: A literature review” by V. Cimolin and M. Galli [Gait Posture 2014;39:1005–1010
- Research Article
31
- 10.1016/j.gaitpost.2019.05.023
- May 26, 2019
- Gait & Posture
Step down tests are the tasks that most differentiate the kinematics of women with patellofemoral pain compared to asymptomatic controls
- Research Article
37
- 10.1016/j.physio.2006.06.006
- Dec 20, 2006
- Physiotherapy
The effect of medial patellar taping on pain, strength and neuromuscular recruitment in subjects with and without patellofemoral pain
- Research Article
- 10.1016/j.gaitpost.2025.05.006
- Sep 1, 2025
- Gait & posture
Task-specific differentiation of patellofemoral pain in women using a neural network analysis of joint angle subsets.
- Research Article
6
- 10.1371/journal.pone.0292464
- Oct 5, 2023
- PLOS ONE
Several studies suggest that the central nervous system coordinates muscle activation by modulating neural commands directed to groups of muscles combined to form muscle synergies. Individuals with patellofemoral pain (PFP) move differently from asymptomatic individuals. Understanding the neural strategies involved in the execution of tasks such as walking can help comprehend how the movement is planned and better understand this clinical condition. The objective of this study was to compare muscle synergies between women with and without PFP during walking. Eleven women with PFP and thirteen asymptomatic women were assessed using three-dimensional kinematics and electromyography (EMG) while walking at self-selected speed. Kinematics of the trunk, pelvis and lower limbs were analyzed through the Movement Deviation Profile. Muscle synergies were extracted from the EMG signals of eight lower limb muscles collected throughout the whole gait cycle. Kinematic differences between the two groups (p<0.001, z-score = 3.06) were more evident during loading response, terminal stance, and pre-swing. PFP group presented a lower number of muscle synergies (p = 0.037), and greater variability accounted for (VAFtotal) when using 3 (p = 0.017), 4 (p = 0.004), and 5 (p = 0.012) synergies to reconstruct all EMG signals. The PFP group also presented higher VAFmuscle for rectus femoris (p = 0.048) and gastrocnemius medialis (p = 0.019) when considering 4 synergies. Our results suggest that women with PFP show lower motor complexity and deficit in muscle coordination to execute gait, indicating that gait in PFP is the result of different neural commands compared to asymptomatic women.
- Research Article
- 10.1371/journal.pone.0292464.r006
- Oct 5, 2023
- PLOS ONE
Several studies suggest that the central nervous system coordinates muscle activation by modulating neural commands directed to groups of muscles combined to form muscle synergies. Individuals with patellofemoral pain (PFP) move differently from asymptomatic individuals. Understanding the neural strategies involved in the execution of tasks such as walking can help comprehend how the movement is planned and better understand this clinical condition. The objective of this study was to compare muscle synergies between women with and without PFP during walking. Eleven women with PFP and thirteen asymptomatic women were assessed using three-dimensional kinematics and electromyography (EMG) while walking at self-selected speed. Kinematics of the trunk, pelvis and lower limbs were analyzed through the Movement Deviation Profile. Muscle synergies were extracted from the EMG signals of eight lower limb muscles collected throughout the whole gait cycle. Kinematic differences between the two groups (p<0.001, z-score = 3.06) were more evident during loading response, terminal stance, and pre-swing. PFP group presented a lower number of muscle synergies (p = 0.037), and greater variability accounted for (VAFtotal) when using 3 (p = 0.017), 4 (p = 0.004), and 5 (p = 0.012) synergies to reconstruct all EMG signals. The PFP group also presented higher VAFmuscle for rectus femoris (p = 0.048) and gastrocnemius medialis (p = 0.019) when considering 4 synergies. Our results suggest that women with PFP show lower motor complexity and deficit in muscle coordination to execute gait, indicating that gait in PFP is the result of different neural commands compared to asymptomatic women.
- Abstract
- 10.1016/j.gaitpost.2024.07.154
- Sep 1, 2024
- Gait & Posture
Movement Deviation Profile and pain intensity: Insights from three-dimensional gait analysis in women with patellofemoral pain
- Research Article
3
- 10.1002/pmrj.13067
- Oct 18, 2023
- PM & R : the journal of injury, function, and rehabilitation
The effects of different taping methods on patellofemoral alignment, pain and function in individuals with patellofemoral pain: A randomized controlled trial.
- Research Article
2
- 10.1080/09593985.2018.1477212
- May 23, 2018
- Physiotherapy Theory and Practice
ABSTRACTBackground: Knee pain during stair managing is a common complaint among individuals with PFP and can negatively affect their activities of daily living. Gait modification programs can be used to decrease patellofemoral pain. Immediate effects of a stair descent distal gait modification session that intended to emphasize forefoot landing during stair descent are described in this study. Objectives: To analyze the immediate effects of a distal gait modification session on lower extremity movements and intensity of pain in women with patellofemoral pain during stair descent. Method: Nonrandomized controlled trial. Sixteen women with patellofemoral pain were allocated into two groups: (1) Gait Modification Group (n = 8); and 2) Control Group (n = 8). The intensity of pain (visual analog scale) and kinematics of knee, ankle, and forefoot (multi-segmental foot model) during stair descent were assessed before and after the intervention. Results: After the gait modification session, there was an increase of forefoot eversion and ankle plantarflexion as well as a decrease of knee flexion. An immediate decrease in patellofemoral pain intensity during stair descent was also observed. Conclusion: The distal gait modification session changed the lower extremity kinetic chain strategy of movement, increasing foot and ankle movement contribution and decreasing knee contribution to the task. An immediate decrease in patellofemoral pain intensity during stair descent was also observed. To emphasize forefoot landing may be a useful intervention to immediately relieve pain in patients with patellofemoral pain during stair descent. Clinical studies are needed to verify the gait modification session effects in medium and long terms.
- Research Article
6
- 10.1016/j.gaitpost.2019.02.011
- Feb 19, 2019
- Gait & Posture
Leaving hip rotation out of a conventional 3D gait model improves discrimination of pathological gait in cerebral palsy: A novel neural network analysis
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