Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control

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Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control. / Rückert, Elmar; Čamernik, Jernej; Peters, Jan et al.
In: Scientific reports (e-only), Vol. 6.2016, No. 1, 28455 / 6694, 16.04.2020.

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Rückert E, Čamernik J, Peters J, Babič J. Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control. Scientific reports (e-only). 2020 Apr 16;6.2016(1):28455 / 6694. doi: 10.1038/srep28455

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@article{e362323ad977465fab79446fed27c8b3,
title = "Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control",
abstract = "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{\textquoteright} 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.",
author = "Elmar R{\"u}ckert and Jernej {\v C}amernik and Jan Peters and Jan Babi{\v c}",
note = "Publisher Copyright: {\textcopyright} 2020, The Author(s).",
year = "2020",
month = apr,
day = "16",
doi = "10.1038/srep28455",
language = "English",
volume = "6.2016",
journal = "Scientific reports (e-only)",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

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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 -