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Published on: September 1, 2023
Speech-related dorsal motor cortex activity does not interfere with iBCI cursor control
Sergey D Stavisky1,2,3,4, Francis R Willett1,2, Donald T Avansino1
1Department of Neurosurgery, Stanford University, Stanford, CA, United States of America.
Speaking does not interfere with intracortical brain-computer interfaces (iBCIs) that decode arm movements. This finding allows individuals using iBCIs to speak while controlling devices, enhancing their communication and device interaction capabilities.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Rehabilitation Technology
Background:
- Speech-related neural modulation occurs in the dorsal motor cortex, a key area for intracortical brain-computer interfaces (iBCIs).
- Concerns exist that speech activity might negatively impact the decoding of intended arm movements by iBCIs.
Purpose of the Study:
- To investigate whether concurrent speech production interferes with the performance of ongoing iBCI control of arm movements.
- To clarify the impact of speech-related neural modulation on iBCI decoding accuracy.
Main Methods:
- A participant in the BrainGate2 clinical trial used an iBCI for cursor control.
- Neural activity was recorded during a standalone speech task and during iBCI use with concurrent speech.
- iBCI performance was compared between conditions with and without concurrent speech.
Main Results:
- Speech-related neural modulation in the dorsal motor cortex was significant during standalone speech.
- This modulation was attenuated when speech occurred during iBCI cursor control.
- The impact of attenuated speech-related neural activity on decoding arm movements was minimal, resulting in similar iBCI performance.
Conclusions:
- Speaking does not directly interfere with iBCIs decoding attempted arm movements.
- This suggests that individuals using motor cortical-driven iBCIs can speak concurrently without compromising device control.
- This finding supports the use of speech alongside iBCI-controlled prostheses or computer interfaces for enhanced user experience.
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