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Task-Specific Somatosensory Feedback via Cortical Stimulation in Humans
- Source :
- IEEE Transactions on Haptics. 9:515-522
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- Cortical stimulation through electrocorticographic (ECoG) electrodes is a potential method for providing sensory feedback in future prosthetic and rehabilitative applications. Here, we evaluate human subjects’ ability to continuously modulate their motor behavior based on feedback from direct surface stimulation of the somatosensory cortex. Subjects wore a dataglove that measured their hand aperture position and received one of three stimuli over the hand sensory cortex based on their current hand position as compared to a target aperture position. Using cortical stimulation feedback, subjects adjusted their hand aperture to move towards the target aperture region. One subject was able to achieve accuracies and R2 values well above chance (best performance: R2 = 0.93; accuracy = 0.76/1). Performance dropped during the catch trial (same stimulus independent of the position) to below chance levels, suggesting that the subject had been using the varied sensory feedback to modulate their motor behavior. To our knowledge, this study represents one of the first demonstrations of using direct cortical surface stimulation of the human sensory cortex to perform a motor task, and is a first step towards developing closed-loop human sensorimotor brain-computer interfaces.
- Subjects :
- Adult
0301 basic medicine
Computer science
Stimulation
Sensory system
Motor Activity
Stimulus (physiology)
Somatosensory system
Article
Electronic mail
03 medical and health sciences
0302 clinical medicine
Feedback, Sensory
Psychophysics
medicine
Humans
Computer vision
Sensory cortex
Electrocorticography
Brain–computer interface
medicine.diagnostic_test
business.industry
Somatosensory Cortex
Hand
Electric Stimulation
Computer Science Applications
Human-Computer Interaction
030104 developmental biology
medicine.anatomical_structure
Brain-Computer Interfaces
Artificial intelligence
business
Neuroscience
Psychomotor Performance
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 19391412
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Haptics
- Accession number :
- edsair.doi.dedup.....b167f13fa01a57167b4684c59b10b2ad
- Full Text :
- https://doi.org/10.1109/toh.2016.2591952