| Titre : | Associations Between Muscle Synergies and Treatment Outcomes in Cerebral Palsy Are Robust Across Clinical Centers (2018) |
| Auteurs : | Benjamin R. Shuman ; Marije Goudriaan ; Kaat Desloovere |
| Type de document : | Article |
| Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 99, n° 11, 2018) |
| Article en page(s) : | p. 2175-2182 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Electromyographie ; Paralysie cérébrale ; Rééducation et réadaptation ; Vitesse de marche |
| Mots-clés: | Cerebral palsy ; Electromyography ; Gait ; Démarche ; Motor disorders ; Troubles moteurs ; Walking speed |
| Résumé : |
Objective To determine whether patient-specific differences in motor control quantified using muscle synergy analysis were associated with changes in gait after treatment of cerebral palsy (CP) across 2 clinical centers with different treatments and clinical protocols. Design Retrospective cohort study. Setting Clinical medical center. Participants Center 1: children with CP (n=473) and typically developing (TD) children (n=84). Center 2: children with CP (n=163) and TD children (n=12). Interventions Standard clinical care at each center. Main Outcome Measures The Dynamic Motor Control Index During Walking (walk-DMC) was computed from electromyographic data during gait using muscle synergy analysis. Regression analysis was used to evaluate whether pretreatment walking speed or kinematics, muscle synergies, treatment group, prior treatment, or age were associated with posttreatment changes in gait at both clinical centers. Results Walk-DMC was significantly associated with changes in speed and kinematics after treatment with similar regression models at both centers. Children with less impaired motor control were more likely to have improvements in walking speed and gait kinematics after treatment, independent of treatment group. Conclusions Dynamic motor control evaluated with synergy analysis was associated with changes in gait after treatment at both centers, despite differences in treatments and clinical protocols. This study further supports the finding that walk-DMC provides additional information, not captured in traditional gait analysis, that may be useful for treatment planning. |
| Disponible en ligne : | Oui |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999318302132 |
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