Significance
Muscle synergies refer to coordinated activations of groups of muscles working together to produce a specific movement or motor task. This concept is rooted in the understanding that human movement is incredibly complex, involving numerous muscles that must be precisely controlled. Muscle synergies simplify this complexity by organizing these many muscles into functional groups that are activated together as a single unit. Muscle synergies provide crucial insights into how the central nervous system (CNS) controls and coordinates movement. This understanding is vital in fields like neurology and rehabilitation medicine, as it sheds light on how the body orchestrates complex motor tasks. In rehabilitation, the concept of muscle synergies is instrumental in developing therapeutic strategies. By identifying and targeting specific muscle groups or synergies, therapists can create more effective rehabilitation protocols for patients recovering from injuries, strokes, or neurological disorders, while for for patients with neurological impairments (like stroke survivors), the analysis of muscle synergies can reveal how their motor control strategies have changed. This information is crucial for designing personalized rehabilitation programs that address the specific deficits in muscle coordination. To address a crucial gap in our understanding of muscle synergies, particularly in the context of upper extremity motor tasks, a new study published in the Journal Frontiers in Human Neuroscience by Katherine Pham, Manuel Portilla-Jiménez, and Assistant Professor Jinsook Roh from the Department of Biomedical Engineering- Cullen College of Engineering at University of Houston, researchers provided a comprehensive analysis of muscle synergies in different motor tasks, specifically isometric force generation and kinematic reaching. The research offers valuable insights into the neural control of movement and has implications for understanding motor disabilities and rehabilitation.
The team carefully crafted their study were a cohort of ten young, healthy individuals, selected to exclude any with neurological or orthopedic impairments, became the protagonists in this scientific exploration. The researchers orchestrated two distinct motor tasks: isometric force generation and kinematic reaching. These tasks were not chosen arbitrarily; they represent fundamental movements in our daily lives, from the simple act of holding an object to the more complex motion of reaching out. The experimental stage was set with two sophisticated equipment setups: a 3D force/torque measurement system for isometric tasks and a KINARM robotic exoskeleton for kinematic tasks. The recording of EMG signals from 13 diverse muscles across the arm, shoulder, and back transformed these human movements into a rich dataset, ripe for analysis. The authors then analyzed these signals using non-negative matrix factorization to identify muscle synergies. The authors identified five and six distinct muscle synergies for isometric force generation and point-to-point reaching tasks, respectively. This indicates a higher complexity in neuromotor control for arm reaching movements compared to isometric tasks. They observed a notable overlap in muscle synergies between the two tasks, with two to four out of five synergies being common in composition and activation profiles across different arm positions. This suggests a degree of generalizability and conservation of muscle synergies across these motor tasks. It also indicates a fundamental efficiency in the CNS’s approach to motor control, employing reusable patterns across different tasks. The authors’ study also detailed specific muscle synergy patterns and their activation profiles. For instance, in isometric force generation, synergies included elbow flexion, elbow extension, shoulder adduction and flexion, shoulder abduction and extension, and shoulder stabilization. These patterns were consistent across different arm locations, indicating a robustness in muscle synergies across spatial variations. When the researchers performed similarity analyses using scalar products and cross-validation methods it further affirmed the consistency of muscle synergy patterns across different starting arm locations and tasks. This suggests a stable underlying neuromuscular strategy irrespective of the spatial context or the nature of the task.
The authors’ findings have important implications for understanding motor control and for the development of rehabilitation strategies for individuals with upper limb motor impairments. The identified muscle synergies and their generalizability across tasks provide a framework for assessing motor disabilities and designing targeted therapeutic interventions. In conclusion, Professor Jinsook Roh’s and her team research on muscle synergies in isometric force generation and kinematic reaching tasks provides vital insights into the neuromotor compartmentalization and control mechanisms in the human upper extremity. The generalizability of muscle synergies across different motor tasks highlights the efficiency of the CNS in simplifying the control of complex musculoskeletal systems, offering promising avenues for both theoretical understanding and practical applications in rehabilitation.
Reference
Pham K, Portilla-Jiménez M, Roh J. Generalizability of muscle synergies in isometric force generation versus point-to-point reaching in the human upper extremity workspace. Front Hum Neurosci. 2023;17:1144860. doi: 10.3389/fnhum.2023.1144860.