Persons with Parkinson’s disease exhibit decreased neuromuscular complexity during gait

Rodriguez, Kathryn; Roemmich, Ryan T.; Cam, Bruce; Fregly, Benjamin J.; Hass, Chris J.

doi:10.1016/j.clinph.2013.02.006

Cited by 113 publications

(141 citation statements)

References 37 publications

Supporting

Mentioning

121

Contrasting

Unclassified

Order By: Relevance

“…In fact, we demonstrated that different altered motor behaviors may be constructed by a common set of muscle synergies (as results shown in Figures 7 and 8). Our findings support prior works related to the changes in the modular organization of different motion patterns of healthy and pathological subjects [35,36].…”

Section: Discussionsupporting

confidence: 82%

Musculoskeletal Simulation for Assessment of Effect of Movement-Based Structure-Modifying Treatment Strategies

Dao

2015

Journal of Computational Medicine

View full text Add to dashboard Cite

The better understanding of the complex mechanism between neural motor control and its resulting joint kinematics and muscle forces allows a better elucidation of the mechanisms behind body growth, aging progression, and disease development. This study aimed at investigating the impact of movement-based structure-modifying treatment strategies on joint kinematics, muscle forces, and muscle synergies of the gait with instrumented implant. A patient-specific musculoskeletal model was used to quantitatively assess the deviations of joint and muscle behaviors between the normal gait and 4 gait modifications (bouncy, medial thrust, midcrouch, and mtp (i.e., gait with forefoot strike)). Moreover, muscle synergy analysis was performed using EMG-based nonnegative matrix factorization. Large variation of 19 degrees and 190 N was found for knee flexion/extension and lower limb muscle forces, respectively. EMG-based muscle synergy analysis revealed that the activation levels of the vastus lateralis and tibialis anterior are dominant for the midcrouch gait. In addition, an important contribution of semimembranosus to the medial thrust and midcrouch gaits was also observed. In fact, such useful information could allow a better understanding of the joint function and muscle synergy strategies leading to deeper knowledge of joint and muscle mechanisms related to neural voluntary motor commands.

show abstract

Section: Discussionsupporting

confidence: 82%

Musculoskeletal Simulation for Assessment of Effect of Movement-Based Structure-Modifying Treatment Strategies

Dao

2015

Journal of Computational Medicine

View full text Add to dashboard Cite

show abstract

“…Neural control studies have shown that a large number of muscle EMG signals collected during walking can be decomposed into three to six independent time-varying basis signals called "neural commands" [17][18][19][20]. Recent work has also shown that neural commands extracted from a subset of experimentally measured EMG signals can reconstruct the shapes of the omitted EMG signals accurately [21].…”

Section: Introductionmentioning

confidence: 99%

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

Serrancolí

Kinney

Fregly

et al. 2016

Journal of Biomechanical Engineering

Self Cite

View full text Add to dashboard Cite

Though walking impairments are prevalent in society, clinical treatments are often ineffective at restoring lost function. For this reason, researchers have begun to explore the use of patient-specific computational walking models to develop more effective treatments. However, the accuracy with which models can predict internal body forces in muscles and across joints depends on how well relevant model parameter values can be calibrated for the patient. This study investigated how knowledge of internal knee contact forces affects calibration of neuromusculoskeletal model parameter values and subsequent prediction of internal knee contact and leg muscle forces during walking. Model calibration was performed using a novel two-level optimization procedure applied to six normal walking trials from the Fourth Grand Challenge Competition to Predict In Vivo Knee Loads. The outer-level optimization adjusted time-invariant model parameter values to minimize passive muscle forces, reserve actuator moments, and model parameter value changes with (Approach A) and without (Approach B) tracking of experimental knee contact forces. Using the current guess for model parameter values but no knee contact force information, the inner-level optimization predicted time-varying muscle activations that were close to experimental muscle synergy patterns and consistent with the experimental inverse dynamic loads (both approaches). For all the six gait trials, Approach A predicted knee contact forces with high accuracy for both compartments (average correlation coefficient r ¼ 0.99 and root mean square error (RMSE) ¼ 52.6 N medial; average r ¼ 0.95 and RMSE ¼ 56.6 N lateral). In contrast, Approach B overpredicted contact force magnitude for both compartments (average RMSE ¼ 323 N medial and 348 N lateral) and poorly matched contact force shape for the lateral compartment (average r ¼ 0.90 medial and À0.10 lateral). Approach B had statistically higher lateral muscle forces and lateral optimal muscle fiber lengths but lower medial, central, and lateral normalized muscle fiber lengths compared to Approach A. These findings suggest that poorly calibrated model parameter values may be a major factor limiting the ability of neuromusculoskeletal models to predict knee contact and leg muscle forces accurately for walking.

show abstract

“…Devido aos comprometimentos motores que os indivíduos com DP apresentam, esse grupo encontra-se mais vulnerável a sofrer acidentes de transito [5] visto que esses déficts motores podem gerar modificações nos padrões da marcha, as quais dificultam sua execução de maneira eficiente e segura [6,7].…”

Section: Introductionunclassified

Análise Eletromiográfica Da Marcha De Pacientes Em Diferentes Estágios Da Doença De Parkinson

Brbara¹,

Lucas²,

Kennedy³

et al. 2018

Anais Do v Congresso Brasileiro De Eletromiografia E Cinesiologia E X Simpósio De Engenharia Biomédica

View full text Add to dashboard Cite

Persons with Parkinson’s disease exhibit decreased neuromuscular complexity during gait

Cited by 113 publications

References 37 publications

Musculoskeletal Simulation for Assessment of Effect of Movement-Based Structure-Modifying Treatment Strategies

Musculoskeletal Simulation for Assessment of Effect of Movement-Based Structure-Modifying Treatment Strategies

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

Análise Eletromiográfica Da Marcha De Pacientes Em Diferentes Estágios Da Doença De Parkinson

Contact Info

Product

Resources

About