How visual information links to multijoint coordination during quiet standing

• Published in: Experimental brain research 2012-10, Vol.222 (3), p.229-239
• Main Authors: Scholz, J. P., Park, E., Jeka, J. J., Schöner, G., Kiemel, T.
• Format: Article
• Language: English
• Subjects: Adult; Ankle; Biological and medical sciences; Biomechanical Phenomena; Biomedical and Life Sciences; Biomedicine; Caves; Computer applications; Eye and associated structures. Visual pathways and centers. Vision; Female; Fundamental and applied biological sciences. Psychology; Head; Humans; Hypotheses; Joints; Joints - innervation; Kinematics; Male; Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration; Movement - physiology; Multivariate Analysis; Neurology; Neurosciences; Photic Stimulation; Postural Balance - physiology; Posture; Posture - physiology; Psychomotor Performance - physiology; Range of Motion, Articular; Research Article; Senses; Vertebrates: nervous system and sense organs; visual field; Visual perception; Visual Perception - physiology; Visual thresholds; Young Adult
• ISSN: 0014-4819; 1432-1106
• DOI: 10.1007/s00221-012-3210-9

The link between visual information and postural control was investigated based on a multi-degree-of-freedom model using the framework of the uncontrolled manifold (UCM) hypothesis. The hypothesis was that because visual information specifies the position of the body in space, it would couple preferentially into those combinations of degrees of freedom (DOFs) that move the body in space and not into combinations of DOFs that do not move the body in space. Subjects stood quietly in a virtual reality cave for 4-min trials with or without a 0.2, 2.0 Hz, or combined 0.2 and 2.0 Hz visual field perturbation that was below perceptual threshold. Motion analysis was used to compute six sagittal plane joint angles. Variance across time of the angular motion was partitioned into (1) variance associated with motion of the body and (2) variance reflecting the use of flexible joint combinations that keep the anterior–posterior positions of the head (HD POS ) and center of mass (CM POS ) invariant. UCM analysis was performed in the frequency domain in order to link the sensory perturbation to each variance component at different frequencies. As predicted, variance related to motion of the body was selectively increased at the 0.2-Hz drive frequency but not at other frequencies of sway for both CM POS and HD POS . The dominant effect with the 2.0-Hz visual drive also was limited largely to variance related to motion of the body.