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Electroencephalogram Source Imaging and Brain Network Based Natural Grasps Decoding
- Source :
- Frontiers in Neuroscience, Vol 15 (2021), Frontiers in Neuroscience
- Publication Year :
- 2021
- Publisher :
- Frontiers Media S.A., 2021.
-
Abstract
- Studying the decoding process of complex grasping movement is of great significance to the field of motor rehabilitation. This study aims to decode five natural reach-and-grasp types using sources of movement-related cortical potential (MRCP) and investigate their difference in cortical signal characteristics and network structures. Electroencephalogram signals were gathered from 40 channels of eight healthy subjects. In an audio cue-based experiment, subjects were instructed to keep no-movement condition or perform five natural reach-and-grasp movements: palmar, pinch, push, twist and plug. We projected MRCP into source space and used average source amplitudes in 24 regions of interest as classification features. Besides, functional connectivity was calculated using phase locking value. Six-class classification results showed that a similar grand average peak performance of 49.35% can be achieved using source features, with only two-thirds of the number of channel features. Besides, source imaging maps and brain networks presented different patterns between each condition. Grasping pattern analysis indicated that the modules in the execution stage focus more on internal communication than in the planning stage. The former stage was related to the parietal lobe, whereas the latter was associated with the frontal lobe. This study demonstrates the superiority and effectiveness of source imaging technology and reveals the spread mechanism and network structure of five natural reach-and-grasp movements. We believe that our work will contribute to the understanding of the generation mechanism of grasping movement and promote a natural and intuitive control of brain–computer interface.
- Subjects :
- movement-related cortical potential
medicine.diagnostic_test
brain network
business.industry
Computer science
General Neuroscience
EEG source imaging
Process (computing)
Parietal lobe
Pattern recognition
Neurosciences. Biological psychiatry. Neuropsychiatry
Electroencephalography
Frontal lobe
phase locking value
medicine
natural reach-and-grasp decoding
Artificial intelligence
Focus (optics)
business
Decoding methods
Brain–computer interface
Communication channel
Neuroscience
Original Research
RC321-571
Subjects
Details
- Language :
- English
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Frontiers in Neuroscience
- Accession number :
- edsair.doi.dedup.....488abc06744701bad06411837c13d5fd
- Full Text :
- https://doi.org/10.3389/fnins.2021.797990/full