Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control
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In: Scientific reports (e-only), Vol. 6.2016, No. 1, 28455 / 6694, 16.04.2020.
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TY - JOUR
T1 - Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control
AU - Rückert, Elmar
AU - Čamernik, Jernej
AU - Peters, Jan
AU - Babič, Jan
N1 - Publisher Copyright: © 2020, The Author(s).
PY - 2020/4/16
Y1 - 2020/4/16
N2 - Human motor skill learning is driven by the necessity to adapt to new situations. While supportive contacts are essential for many tasks, little is known about their impact on motor learning. To study the effect of contacts an innovative full-body experimental paradigm was established. The task of the subjects was to reach for a distant target while postural stability could only be maintained by establishing an additional supportive hand contact. To examine adaptation, non-trivial postural perturbations of the subjects’ support base were systematically introduced. A novel probabilistic trajectory model approach was employed to analyze the correlation between the motions of both arms and the trunk. We found that subjects adapted to the perturbations by establishing target dependent hand contacts. Moreover, we found that the trunk motion adapted significantly faster than the motion of the arms. However, the most striking finding was that observations of the initial phase of the left arm or trunk motion (100–400 ms) were sufficient to faithfully predict the complete movement of the right arm. Overall, our results suggest that the goal-directed arm movements determine the supportive arm motions and that the motion of heavy body parts adapts faster than the light arms.
AB - Human motor skill learning is driven by the necessity to adapt to new situations. While supportive contacts are essential for many tasks, little is known about their impact on motor learning. To study the effect of contacts an innovative full-body experimental paradigm was established. The task of the subjects was to reach for a distant target while postural stability could only be maintained by establishing an additional supportive hand contact. To examine adaptation, non-trivial postural perturbations of the subjects’ support base were systematically introduced. A novel probabilistic trajectory model approach was employed to analyze the correlation between the motions of both arms and the trunk. We found that subjects adapted to the perturbations by establishing target dependent hand contacts. Moreover, we found that the trunk motion adapted significantly faster than the motion of the arms. However, the most striking finding was that observations of the initial phase of the left arm or trunk motion (100–400 ms) were sufficient to faithfully predict the complete movement of the right arm. Overall, our results suggest that the goal-directed arm movements determine the supportive arm motions and that the motion of heavy body parts adapts faster than the light arms.
U2 - 10.1038/srep28455
DO - 10.1038/srep28455
M3 - Article
C2 - 32300170
AN - SCOPUS:85083631744
VL - 6.2016
JO - Scientific reports (e-only)
JF - Scientific reports (e-only)
SN - 2045-2322
IS - 1
M1 - 28455 / 6694
ER -