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Muscle Synergies Control during Hand-Reaching Tasks in Multiple Directions Post-stroke
- Source :
- Frontiers in Computational Neuroscience, Frontiers in Computational Neuroscience, Vol 12 (2018)
- Publication Year :
- 2018
- Publisher :
- Frontiers Media SA, 2018.
-
Abstract
- Purpose: A muscle synergies model was suggested to represent a simplifying motor control mechanism by the brainstem and spinal cord. The aim of the study was to investigate the feasibility of such control mechanisms in the rehabilitation of post-stroke individuals during the execution of hand-reaching movements in multiple directions, compared to non-stroke individuals. Methods: Twelve non-stroke and 13 post-stroke individuals participated in the study. Muscle synergies were extracted from EMG data that was recorded during hand reaching tasks, using the NMF algorithm. The optimal number of synergies was evaluated in both groups using the Variance Accounted For (VAF) and the Mean Squared Error (MSE). A cross validation procedure was carried out to define a representative set of synergies. The similarity index and the K-means algorithm were applied to validate the existence of such a set of synergies, but also to compare the modulation properties of synergies for different movement directions between groups. The similarity index and hierarchical cluster analysis were also applied to compare between group synergies. Results: Four synergies were chosen to optimally capture the variances in the EMG data, with mean VAF of 0.917 ± 0.034 and 0.883 ± 0.046 of the data variances, with respective MSE of 0.007 and 0.016, in the control and study groups, respectively. The representative set of synergies was set to be extracted from movement to the center of the reaching space. Two synergies had different muscle activation balance between groups. Seven and 17 clusters partitioned the muscle synergies of the control and study groups. The control group exhibited a gradual change in the activation in the amplitude in the time domain (modulation) of synergies, as reflected by the similarity index, whereas the study group exhibited consistently significant differences between all movement directions and the representative set of synergies. The study findings support the existence of a representative set of synergies, which are modulated to execute movements in different directions. Conclusions: Post-stroke individuals differently modulate the activation of synergies to different movement directions than do non-stroke individuals. The conclusion was supported by different muscle activation balances, similarity values and different classifications of synergies among groups.
- Subjects :
- 0301 basic medicine
Mean squared error
variance accounted for (VAF)
Neuroscience (miscellaneous)
Cross-validation
lcsh:RC321-571
03 medical and health sciences
Cellular and Molecular Neuroscience
non-negative matrix factorization (NMF)
0302 clinical medicine
Similarity (network science)
muscle synergies
motor control
Set (psychology)
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Original Research
Balance (ability)
Mathematics
electromyography (EMG)
business.industry
hand reaching
Motor control
Pattern recognition
Variance (accounting)
Hierarchical clustering
post stroke
modulation
030104 developmental biology
Artificial intelligence
business
030217 neurology & neurosurgery
Neuroscience
Subjects
Details
- ISSN :
- 16625188
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Frontiers in Computational Neuroscience
- Accession number :
- edsair.doi.dedup.....f1b01441e50f6146cb1fcee571d0f3b7
- Full Text :
- https://doi.org/10.3389/fncom.2018.00010