Abstract
Event-related desynchronization (ERD) of sensori-motor rhythms (SMR) can be used for online brain-machine interface (BMI) control, but yields challenges related to the stability of ERD and feedback strategy to optimize BMI learning. Here, we compared two approaches to this challenge in 20 right-handed healthy subjects (HS, five sessions each, S1-S5) and four stroke patients (SP, 15 sessions each, S1-S15). ERD was recorded from a 275-sensor MEG system. During daily training, motor imagery-induced ERD led to visual and proprioceptive feedback delivered through an orthotic device attached to the subjects' hand and fingers. Group A trained with a heterogeneous reference value (RV) for ERD detection with binary feedback and Group B with a homogenous RV and graded feedback (10 HS and 2 SP in each group). HS in Group B showed better BMI performance than Group A (p <0.001) and improved BMI control from S1 to S5 ( p=0.012) while Group A did not. In spite of the small n, SP in Group B showed a trend for a higher BMI performance (p = 0.06) and learning was significantly better (p <0.05). Using a homogeneous RV and graded feedback led to improved modulation of ipsilesional activity resulting in superior BMI learning relative to use of a heterogeneous RV and binary feedback.
| Original language | English |
|---|---|
| Article number | 6035989 |
| Pages (from-to) | 542-549 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Volume | 19 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Oct 2011 |
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Keywords
- Brain-machine nterface
- event-related desynchronization
- neurorehabilitation
- stroke
ASJC Scopus subject areas
- Neuroscience(all)
- Computer Science Applications
- Biomedical Engineering
- Medicine(all)
Cite this
ERD-based online brain-machine interfaces (BMI) in the context of neurorehabilitation : Optimizing BMI learning and performance. / Soekadar, Surjo R.; Witkowski, Matthias; Mellinger, Jürgen; Ramos, Ander; Birbaumer, Niels; Cohen, Leonardo G.
In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 19, No. 5, 6035989, 10.2011, p. 542-549.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - ERD-based online brain-machine interfaces (BMI) in the context of neurorehabilitation
T2 - Optimizing BMI learning and performance
AU - Soekadar, Surjo R.
AU - Witkowski, Matthias
AU - Mellinger, Jürgen
AU - Ramos, Ander
AU - Birbaumer, Niels
AU - Cohen, Leonardo G.
PY - 2011/10
Y1 - 2011/10
N2 - Event-related desynchronization (ERD) of sensori-motor rhythms (SMR) can be used for online brain-machine interface (BMI) control, but yields challenges related to the stability of ERD and feedback strategy to optimize BMI learning. Here, we compared two approaches to this challenge in 20 right-handed healthy subjects (HS, five sessions each, S1-S5) and four stroke patients (SP, 15 sessions each, S1-S15). ERD was recorded from a 275-sensor MEG system. During daily training, motor imagery-induced ERD led to visual and proprioceptive feedback delivered through an orthotic device attached to the subjects' hand and fingers. Group A trained with a heterogeneous reference value (RV) for ERD detection with binary feedback and Group B with a homogenous RV and graded feedback (10 HS and 2 SP in each group). HS in Group B showed better BMI performance than Group A (p <0.001) and improved BMI control from S1 to S5 ( p=0.012) while Group A did not. In spite of the small n, SP in Group B showed a trend for a higher BMI performance (p = 0.06) and learning was significantly better (p <0.05). Using a homogeneous RV and graded feedback led to improved modulation of ipsilesional activity resulting in superior BMI learning relative to use of a heterogeneous RV and binary feedback.
AB - Event-related desynchronization (ERD) of sensori-motor rhythms (SMR) can be used for online brain-machine interface (BMI) control, but yields challenges related to the stability of ERD and feedback strategy to optimize BMI learning. Here, we compared two approaches to this challenge in 20 right-handed healthy subjects (HS, five sessions each, S1-S5) and four stroke patients (SP, 15 sessions each, S1-S15). ERD was recorded from a 275-sensor MEG system. During daily training, motor imagery-induced ERD led to visual and proprioceptive feedback delivered through an orthotic device attached to the subjects' hand and fingers. Group A trained with a heterogeneous reference value (RV) for ERD detection with binary feedback and Group B with a homogenous RV and graded feedback (10 HS and 2 SP in each group). HS in Group B showed better BMI performance than Group A (p <0.001) and improved BMI control from S1 to S5 ( p=0.012) while Group A did not. In spite of the small n, SP in Group B showed a trend for a higher BMI performance (p = 0.06) and learning was significantly better (p <0.05). Using a homogeneous RV and graded feedback led to improved modulation of ipsilesional activity resulting in superior BMI learning relative to use of a heterogeneous RV and binary feedback.
KW - Brain-machine nterface
KW - event-related desynchronization
KW - neurorehabilitation
KW - stroke
UR - http://www.scopus.com/inward/record.url?scp=80054083441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054083441&partnerID=8YFLogxK
U2 - 10.1109/TNSRE.2011.2166809
DO - 10.1109/TNSRE.2011.2166809
M3 - Article
C2 - 21984519
AN - SCOPUS:80054083441
VL - 19
SP - 542
EP - 549
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
SN - 1534-4320
IS - 5
M1 - 6035989
ER -