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Sensory stimulation enhances phantom limb perception and movement decoding

Authors :
Gyorgy Levay
Gordon Cheng
Keqin Ding
Anastasios Bezerianos
Andrei Dragomir
Matthew S. Fifer
Mark M. Iskarous
Christopher L. Hunt
Zied Tayeb
Nitish V. Thakor
Luke Osborn
Rohit Bose
Mark A. Hays
Robert S. Armiger
Source :
J Neural Eng
Publication Year :
2020
Publisher :
IOP Publishing, 2020.

Abstract

ObjectiveA major challenge for controlling a prosthetic arm is communication between the device and the user’s phantom limb. We show the ability to enhance amputees’ phantom limb perception and improve movement decoding through targeted transcutaneous electrical nerve stimulation (tTENS).ApproachTranscutaneous nerve stimulation experiments were performed with four amputee participants to map phantom limb perception. We measured myoelectric signals during phantom hand movements before and after amputees received sensory stimulation. Using electroencephalogram (EEG) monitoring, we measure the neural activity in sensorimotor regions during phantom movements and stimulation. In one participant, we also tracked sensory mapping over 2 years and movement decoding performance over 1 year.Main resultsResults show improvements in the amputees’ ability to perceive and move the phantom hand as a result of sensory stimulation, which leads to improved movement decoding. In the extended study with one amputee, we found that sensory mapping remains stable over 2 years. Remarkably, sensory stimulation improves within-day movement decoding while performance remains stable over 1 year. From the EEG, we observed cortical correlates of sensorimotor integration and increased motor-related neural activity as a result of enhanced phantom limb perception.SignificanceThis work demonstrates that phantom limb perception influences prosthesis control and can benefit from targeted nerve stimulation. These findings have implications for improving prosthesis usability and function due to a heightened sense of the phantom hand.

Details

ISSN :
17412552
Volume :
17
Database :
OpenAIRE
Journal :
Journal of Neural Engineering
Accession number :
edsair.doi.dedup.....877db8e6a4305a0e03b9b70968eed808
Full Text :
https://doi.org/10.1088/1741-2552/abb861