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Title: Real-time control of a neuroprosthetic hand by magnetoencephalographic signals from paralysed patients
Authors: Fukuma, Ryohei
Yanagisawa, Takufumi
Saitoh, Youichi
Hosomi, Koichi
Kishima, Haruhiko
Shimizu, Takeshi
Sugata, Hisato
Yokoi, Hiroshi
Hirata, Masayuki
Kamitani, Yukiyasu  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-9300-8268 (unconfirmed)
Yoshimine, Toshiki
Author's alias: 神谷, 之康
Issue Date: 24-Feb-2016
Publisher: Nature Publishing Group
Journal title: Scientific Reports
Volume: 6
Thesis number: 21781
Abstract: Neuroprosthetic arms might potentially restore motor functions for severely paralysed patients. Invasive measurements of cortical currents using electrocorticography have been widely used for neuroprosthetic control. Moreover, magnetoencephalography (MEG) exhibits characteristic brain signals similar to those of invasively measured signals. However, it remains unclear whether non-invasively measured signals convey enough motor information to control a neuroprosthetic hand, especially for severely paralysed patients whose sensorimotor cortex might be reorganized. We tested an MEG-based neuroprosthetic system to evaluate the accuracy of using cortical currents in the sensorimotor cortex of severely paralysed patients to control a prosthetic hand. The patients attempted to grasp with or open their paralysed hand while the slow components of MEG signals (slow movement fields; SMFs) were recorded. Even without actual movements, the SMFs of all patients indicated characteristic spatiotemporal patterns similar to actual movements, and the SMFs were successfully used to control a neuroprosthetic hand in a closed-loop condition. These results demonstrate that the slow components of MEG signals carry sufficient information to classify movement types. Successful control by paralysed patients suggests the feasibility of using an MEG-based neuroprosthetic hand to predict a patient's ability to control an invasive neuroprosthesis via the same signal sources as the non-invasive method.
Description: [Corrigendum (19 October 2016)] Scientific Reports 6: Article number:34970 ; published online: 19 October 2016: doi:10.1038/srep34970
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
URI: http://hdl.handle.net/2433/216024
DOI(Published Version): 10.1038/srep21781
PubMed ID: 26904967
Related Link: http://dx.doi.org/10.1038/srep34970
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