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Updated: Aug 6, 2026
08:19
Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
Published on: January 15, 2016
Network analysis of surface deformation reveals trunk modularity and synchronization during gait
Zilu Wang1, Jingbang Yang1, Yong Wang1
1School of Advanced Manufacturing and Robotics, Peking University, Beijing, China.
Plos Computational Biology
|July 24, 2026
Summary
The human back moves as a modular system, not rigid segments. Network analysis of skin motion reveals synchronized regions, offering new insights into spinal disorders like low back pain and scoliosis.
Area of Science:
- Biomechanics
- Human Locomotion
- Network Science
Background:
- Current biomechanical models oversimplify trunk motion, treating it as rigid segments.
- This simplification limits understanding of dynamic trunk behavior relevant to low back pain and scoliosis.
Purpose of the Study:
- To develop a novel approach for characterizing human trunk motion as a dynamic continuum.
- To utilize body surface topography and network analysis to identify patterns in trunk movement during locomotion.
Main Methods:
- Applied community detection algorithms to body surface topography data during gait.
- Used skin surface changes as a non-invasive method to observe trunk dynamics.
- Analyzed synchronous deformation regions (SDRs) to understand kinematic patterns.
Main Results:
- The human back functions as a modular system with synchronized kinematic regions (SDRs).
- SDRs demonstrate stable spatial boundaries and long-range synergies across different walking speeds.
- Identified distinct thoracic and lumbar clustering, and speed-dependent pelvic-scapular synchronization.
Conclusions:
- Trunk motion is better represented as a dynamic continuum of interconnected regions rather than rigid segments.
- This network-based approach provides a foundation for precision rehabilitation strategies.
- Surface-derived indicators may aid in evaluating pathological trunk movement in conditions like scoliosis and low back pain.
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