TY - JOUR
T1 - Electromyography and the evolution of motor control
T2 - Limitations and insights
AU - Herrel, Anthony
AU - Schaerlaeken, Vicky
AU - Ross, Callum
AU - Meyers, Jay
AU - Nishikawa, Kiisa
AU - Abdala, Virginia
AU - Manzano, Adriana
AU - Aerts, Peter
N1 - Funding Information:
funded by a PhD grant from the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen) to V.S. and by a Research Grant of the Research Foundation— Flanders (FWO) to A.H.
Funding Information:
The authors would like to thank Nicolai Konow and Shannon Gerry for inviting us to present this article at the symposium ‘‘Electromyography: Interpretation and limitations in functional analyses of musculoskeletal systems’’ at the 2008 annual SICB meeting, and SICB for financial support. The research was
PY - 2008/8
Y1 - 2008/8
N2 - Electromyography (EMG), or the study of muscle activation patterns, has long been used to infer central nervous system (CNS) control of the musculoskeletal system and the evolution of that control. As the activation of the muscles at the level of the periphery is a reflection of the interaction of descending influences and local reflex control, EMG is an important tool in integrated investigations of the evolution of coordination in complex, musculoskeletal systems. Yet, the use of EMG as a tool to understand the evolution of motor control has its limitations. We here review the potential limitations and opportunities of the use of EMG in studying the evolution of motor control in vertebrates and provide original previously unpublished data to illustrate this. The relative timing of activation of a set of muscles can be used to evaluate CNS coordination of the components in a musculoskeletal system. Studies of relative timing reveal task-dependent variability in the recruitment of different populations of muscle fibers (i.e., different fiber types) within a single muscle, and left-right asymmetries in activation that need to be taken into account in comparative studies. The magnitude of muscle recruitment is strongly influenced by the instantaneous demands imposed on the system, and is likely determined by local reflex-control systems. Consequently, using EMG to make meaningful inferences about evolutionary changes in musculoskeletal control requires comparisons across similar functional tasks. Moreover, our data show that inferences about the evolution of motor control are limited in their explanatory power without proper insights into the kinematics and dynamics of a system.
AB - Electromyography (EMG), or the study of muscle activation patterns, has long been used to infer central nervous system (CNS) control of the musculoskeletal system and the evolution of that control. As the activation of the muscles at the level of the periphery is a reflection of the interaction of descending influences and local reflex control, EMG is an important tool in integrated investigations of the evolution of coordination in complex, musculoskeletal systems. Yet, the use of EMG as a tool to understand the evolution of motor control has its limitations. We here review the potential limitations and opportunities of the use of EMG in studying the evolution of motor control in vertebrates and provide original previously unpublished data to illustrate this. The relative timing of activation of a set of muscles can be used to evaluate CNS coordination of the components in a musculoskeletal system. Studies of relative timing reveal task-dependent variability in the recruitment of different populations of muscle fibers (i.e., different fiber types) within a single muscle, and left-right asymmetries in activation that need to be taken into account in comparative studies. The magnitude of muscle recruitment is strongly influenced by the instantaneous demands imposed on the system, and is likely determined by local reflex-control systems. Consequently, using EMG to make meaningful inferences about evolutionary changes in musculoskeletal control requires comparisons across similar functional tasks. Moreover, our data show that inferences about the evolution of motor control are limited in their explanatory power without proper insights into the kinematics and dynamics of a system.
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U2 - 10.1093/icb/icn025
DO - 10.1093/icb/icn025
M3 - Article
AN - SCOPUS:49449110801
SN - 1540-7063
VL - 48
SP - 261
EP - 271
JO - Integrative and Comparative Biology
JF - Integrative and Comparative Biology
IS - 2
ER -