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Updated: May 12, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
Published on: April 11, 2018
Whole-body pointing as superposition of two multi-joint components.
Makoto Iwasa1, Saya Iwasa1, Sayan Deep De1
1Department of Kinesiology, The Pennsylvania State University, Rec.Hall-268N, University Park, PA, USA.
This study reveals how leg and trunk movements stabilize reaching, finding minimal trade-offs between control levels. Postural constraints enhance movement stability without hindering task control.
Area of Science:
- Motor control
- Biomechanics
- Neuroscience
Background:
- Understanding movement control involves analyzing synergies between different body segments.
- The interplay between reaching movements and postural stability is crucial for dynamic balance.
- Previous research has not fully explored trade-offs in control synergies within joint configuration spaces.
Purpose of the Study:
- To investigate the interaction between reaching movements (legs and trunk) and postural balance.
- To quantify performance-stabilizing synergies at different control hierarchy levels.
- To explore trade-offs between these synergies in joint configuration spaces.
Main Methods:
- Participants performed reaching tasks involving shoulder and endpoint movements.
- Motion kinematics were analyzed in a two-dimensional action space.
- The uncontrolled manifold hypothesis quantified variance components and synergy indices.
Main Results:
- Synergy indices confirmed stabilization of the task-specific effector coordinate.
- Minor trade-offs were observed between control hierarchy levels.
- Shoulder trajectory movements showed smaller variance components without affecting the synergy index.
- Postural constraints reduced inter-trial variance in joint configuration space.
Conclusions:
- Movement control strategies effectively stabilize reaching tasks.
- Postural constraints play a role in refining movement control without compromising task-specific synergies.
- Findings contribute to understanding neural control with spatial referent coordinates in natural tasks.
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