Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses
Brain computer interface (BCI) technology has been proposed for motor neurorehabilitation, motor replacement and assistive technologies. It is an open question whether proprioceptive feedback affects the regulation of brain oscillations and therefore BCI control. We developed a BCI coupled on-line w...
| Main Authors: | , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Public Library of Science
2013
|
| Online Access: | http://hdl.handle.net/1721.1/76610 |
| _version_ | 1811071031894343680 |
|---|---|
| author | Ramos-Murguialday, Ander Schurholz, Markus Caggiano, Vittorio Wildgruber, Moritz Caria, Andrea Hammer, Eva Maria Halder, Sebastian Birbaumer, Niels |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Ramos-Murguialday, Ander Schurholz, Markus Caggiano, Vittorio Wildgruber, Moritz Caria, Andrea Hammer, Eva Maria Halder, Sebastian Birbaumer, Niels |
| author_sort | Ramos-Murguialday, Ander |
| collection | MIT |
| description | Brain computer interface (BCI) technology has been proposed for motor neurorehabilitation, motor replacement and assistive technologies. It is an open question whether proprioceptive feedback affects the regulation of brain oscillations and therefore BCI control. We developed a BCI coupled on-line with a robotic hand exoskeleton for flexing and extending the fingers. 24 healthy participants performed five different tasks of closing and opening the hand: (1) motor imagery of the hand movement without any overt movement and without feedback, (2) motor imagery with movement as online feedback (participants see and feel their hand, with the exoskeleton moving according to their brain signals, (3) passive (the orthosis passively opens and closes the hand without imagery) and (4) active (overt) movement of the hand and rest. Performance was defined as the difference in power of the sensorimotor rhythm during motor task and rest and calculated offline for different tasks. Participants were divided in three groups depending on the feedback receiving during task 2 (the other tasks were the same for all participants). Group 1 (n = 9) received contingent positive feedback (participants' sensorimotor rhythm (SMR) desynchronization was directly linked to hand orthosis movements), group 2 (n = 8) contingent “negative” feedback (participants' sensorimotor rhythm synchronization was directly linked to hand orthosis movements) and group 3 (n = 7) sham feedback (no link between brain oscillations and orthosis movements). We observed that proprioceptive feedback (feeling and seeing hand movements) improved BCI performance significantly. Furthermore, in the contingent positive group only a significant motor learning effect was observed enhancing SMR desynchronization during motor imagery without feedback in time. Furthermore, we observed a significantly stronger SMR desynchronization in the contingent positive group compared to the other groups during active and passive movements. To summarize, we demonstrated that the use of contingent positive proprioceptive feedback BCI enhanced SMR desynchronization during motor tasks. |
| first_indexed | 2024-09-23T08:45:04Z |
| format | Article |
| id | mit-1721.1/76610 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:45:04Z |
| publishDate | 2013 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/766102022-09-30T10:59:24Z Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses Ramos-Murguialday, Ander Schurholz, Markus Caggiano, Vittorio Wildgruber, Moritz Caria, Andrea Hammer, Eva Maria Halder, Sebastian Birbaumer, Niels McGovern Institute for Brain Research at MIT Caggiano, Vittorio Brain computer interface (BCI) technology has been proposed for motor neurorehabilitation, motor replacement and assistive technologies. It is an open question whether proprioceptive feedback affects the regulation of brain oscillations and therefore BCI control. We developed a BCI coupled on-line with a robotic hand exoskeleton for flexing and extending the fingers. 24 healthy participants performed five different tasks of closing and opening the hand: (1) motor imagery of the hand movement without any overt movement and without feedback, (2) motor imagery with movement as online feedback (participants see and feel their hand, with the exoskeleton moving according to their brain signals, (3) passive (the orthosis passively opens and closes the hand without imagery) and (4) active (overt) movement of the hand and rest. Performance was defined as the difference in power of the sensorimotor rhythm during motor task and rest and calculated offline for different tasks. Participants were divided in three groups depending on the feedback receiving during task 2 (the other tasks were the same for all participants). Group 1 (n = 9) received contingent positive feedback (participants' sensorimotor rhythm (SMR) desynchronization was directly linked to hand orthosis movements), group 2 (n = 8) contingent “negative” feedback (participants' sensorimotor rhythm synchronization was directly linked to hand orthosis movements) and group 3 (n = 7) sham feedback (no link between brain oscillations and orthosis movements). We observed that proprioceptive feedback (feeling and seeing hand movements) improved BCI performance significantly. Furthermore, in the contingent positive group only a significant motor learning effect was observed enhancing SMR desynchronization during motor imagery without feedback in time. Furthermore, we observed a significantly stronger SMR desynchronization in the contingent positive group compared to the other groups during active and passive movements. To summarize, we demonstrated that the use of contingent positive proprioceptive feedback BCI enhanced SMR desynchronization during motor tasks. 2013-01-25T18:07:30Z 2013-01-25T18:07:30Z 2012-10 2012-06 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/76610 Ramos-Murguialday, Ander et al. “Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses.” Ed. Michael Hendricks. PLoS ONE 7.10 (2012): e47048. en_US http://dx.doi.org/10.1371/journal.pone.0047048 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS |
| spellingShingle | Ramos-Murguialday, Ander Schurholz, Markus Caggiano, Vittorio Wildgruber, Moritz Caria, Andrea Hammer, Eva Maria Halder, Sebastian Birbaumer, Niels Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses |
| title | Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses |
| title_full | Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses |
| title_fullStr | Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses |
| title_full_unstemmed | Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses |
| title_short | Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses |
| title_sort | proprioceptive feedback and brain computer interface bci based neuroprostheses |
| url | http://hdl.handle.net/1721.1/76610 |
| work_keys_str_mv | AT ramosmurguialdayander proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses AT schurholzmarkus proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses AT caggianovittorio proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses AT wildgrubermoritz proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses AT cariaandrea proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses AT hammerevamaria proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses AT haldersebastian proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses AT birbaumerniels proprioceptivefeedbackandbraincomputerinterfacebcibasedneuroprostheses |