Variant and invariant features characterizing natural and reverse whole-body pointing movements.

Enrico Chiovetto (1, 2) , Laura Patanè (3, 1) , Thierry Pozzo (4, 1, 3)

1 RBCS - Department of Robotics, Brain and Cognitive Sciences
2 Department of Cognitive Neurology
3 Department of Communication, Computer and System Sciences
4 CAPS - Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093]

Previous investigations showed that kinematics and muscle activity associated with natural whole-body movements along the gravity direction present modular organizations encoding specific aspects relative to both the motor plans and the motor programmes underlying movement execution. It is, however, still unknown whether such modular structures characterize also the reverse movements, when the displacement of a large number of joints is required to take the whole body back to a standing initial posture. To study what motor patterns are conserved across the reversal of movement direction, principal component analysis and non-negative matrix factorization were therefore applied, respectively, to the time series describing the temporal evolution of the elevation angles associated with all the body links and to the electromyographic signals of both natural and reverse whole-body movements. Results revealed that elevation angles were highly co-varying in time and that despite some differences in the global parameters characterizing the different movements (indicating differences in high-level variable associated with the selected motor plans), the level of joint co-variation did not change across movement direction. In contrast, muscle organization of the forward whole-body pointing tasks was found to be different with respect to that characterizing the reverse movements. Such results agree with previous findings, according to which the central nervous system exploits, dependently on the direction of motion, different motor plans for the execution of whole-body movements. However, in addition, this study shows how such motor plans are translated into different muscle strategies that equivalently assure a high level of co-variation in the joint space.

Mots clés: Movement analysis

Domaines: Neurosciences; Sciences de l'information et de la communication

Enrico Chiovetto, Laura Patanè, Thierry Pozzo. Variant and invariant features characterizing natural and reverse whole-body pointing movements.. Experimental Brain Research, 2012, 218 (3), pp.419-31. ⟨10.1007/s00221-012-3030-y⟩. ⟨hal-00705183⟩