Motor cortical activity changes during neuroprosthetic-controlled object interaction
Open accessAbstract
Brain-computer interface (BCI) controlled prosthetic arms are being developed to restore function to people with upper-limb paralysis. This work provides an opportunity to analyze human cortical activity during complex tasks. Previously we observed that BCI control became more difficult during interactions with objects, although we did not quantify the neural origins of this phenomena. Here, we investigated how motor cortical activity changed in the presence of an object independently of the kinematics that were being generated using intracortical recordings from two people with tetraplegia. After identifying a population-wide increase in neural firing rates that corresponded with the hand being near an object, we developed an online scaling feature in the BCI system that operated without knowledge of the task. Online scaling increased the ability of two subjects to control the robotic arm when reaching to grasp and transport objects. This work suggests that neural representations of the environment, in this case the presence of an object, are strongly and consistently represented in motor cortex but can be accounted for to improve BCI performance.
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Using the same fundamental neural decoding and control methods, two participants have achieved similar scores on functional tasks with vision alone.
“First, using the same fundamental neural decoding and control methods, two participants have achieved similar scores on functional tasks with vision alone (5, 6, 28).”
From A brain-computer interface that evokes tactile sensations improves robotic arm control (2021) · cites this paper as [28]
The Methods (Study participants; Neural recording and BCI decoder calibration, page unavailable) describe two participants using motor-cortex decoding to control a robotic arm; somatosensory arrays were not used in this experiment. The Results (Online population-level scaling improves BCI object grasping, page unavailable) report fairly close object-interaction success rates with scaling, but the more functional object-transport scores differ substantially: 1.09 versus 5.28 transfers per minute. Thus, the paper does not support a general claim that the participants achieved similar scores on functional tasks. (LLM, conf=0.86)
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A brain-computer interface that evokes tactile sensations improves robotic arm control
Flesher, S. N., Downey, J. E., Weiss, J. M., Hughes, C. L., Herrera, A. J., Tyler-Kabara, E. C., Boninger, M. L., Collinger, J. L., & Gaunt, R. A. (2021) · Science · doi:10.1126/science.abd0380 · Cited by 617 · see citing works
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Intracortical recording stability in human brain–computer interface users
Downey, J. E., Schwed, N., Chase, S. M., Schwartz, A. B., & Collinger, J. L. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab7a0 · Cited by 149 · see citing works
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- Authors
- Downey, J. E., Brane, L., Gaunt, R. A., Tyler-Kabara, E. C., Boninger, M. L., & Collinger, J. L.
- Affiliations
- University of Pittsburgh (US)
- Corresponding author
- Collinger, Jennifer L.
- Venue
- Scientific Reports
- Published
- 2017-12-05
- Volume
- 7
- Issue
- 1
- Pages
- 16947-16947
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5717217
- OpenAlex
- W2769078659
- Cited by
- 63
- References
- 49
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 9 · 2023: 8 · 2022: 4 · 2021: 9 · 2020: 8 · 2019: 8 · 2018: 8
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- U.S. Department of Defense
- U.S. Department of Veterans Affairs
- University of Pittsburgh
- Defense Advanced Research Projects Agency (N66001-10-C-4056, contract number N66001-10-C-4056, N66001-16-C4051)
- Advanced Research Projects Agency
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Keywords
- brain-computer interface, motor cortex, intracortical recording, upper limb paralysis, tetraplegia, object interaction, neuronal firing rate, robotic arm control, GRASP
- MeSH terms
- Adult, Algorithms, Artificial Limbs, Biomechanical Phenomena, Female, Humans, Male, Middle Aged, Motor Cortex, Quadriplegia, Hand Strength, Brain-Computer Interfaces
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