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Dynamic Reweighting of Three Modalities for Sensor Fusion

Overview of attention for article published in PLOS ONE, January 2014
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Title
Dynamic Reweighting of Three Modalities for Sensor Fusion
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0088132
Pubmed ID
Authors

Sungjae Hwang, Peter Agada, Tim Kiemel, John J. Jeka

Abstract

We simultaneously perturbed visual, vestibular and proprioceptive modalities to understand how sensory feedback is re-weighted so that overall feedback remains suited to stabilizing upright stance. Ten healthy young subjects received an 80 Hz vibratory stimulus to their bilateral Achilles tendons (stimulus turns on-off at 0.28 Hz), a ± 1 mA binaural monopolar galvanic vestibular stimulus at 0.36 Hz, and a visual stimulus at 0.2 Hz during standing. The visual stimulus was presented at different amplitudes (0.2, 0.8 deg rotation about ankle axis) to measure: the change in gain (weighting) to vision, an intramodal effect; and a change in gain to vibration and galvanic vestibular stimulation, both intermodal effects. The results showed a clear intramodal visual effect, indicating a de-emphasis on vision when the amplitude of visual stimulus increased. At the same time, an intermodal visual-proprioceptive reweighting effect was observed with the addition of vibration, which is thought to change proprioceptive inputs at the ankles, forcing the nervous system to rely more on vision and vestibular modalities. Similar intermodal effects for visual-vestibular reweighting were observed, suggesting that vestibular information is not a "fixed" reference, but is dynamically adjusted in the sensor fusion process. This is the first time, to our knowledge, that the interplay between the three primary modalities for postural control has been clearly delineated, illustrating a central process that fuses these modalities for accurate estimates of self-motion.

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Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
Sweden 1 <1%
Canada 1 <1%
Unknown 203 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 19%
Researcher 29 14%
Student > Ph. D. Student 29 14%
Student > Bachelor 23 11%
Student > Doctoral Student 11 5%
Other 40 19%
Unknown 36 17%
Readers by discipline Count As %
Medicine and Dentistry 35 17%
Neuroscience 32 15%
Engineering 23 11%
Nursing and Health Professions 19 9%
Sports and Recreations 19 9%
Other 26 13%
Unknown 53 26%