AI Article Synopsis
- - The study explored the neural basis of speaking by using electrode arrays to record from the motor cortex in two tetraplegic individuals, revealing that neurons in the 'hand knob' area were active during both speaking and non-speaking oral movements.
- - This challenges the traditional idea of the 'motor homunculus,' which suggests distinct brain regions control specific body parts, as neurons appeared to modulate across different movements.
- - The researchers were able to decode spoken words and syllables from single trials, indicating the potential for using these types of recordings in brain-computer interfaces aimed at restoring speech, while also noting similarities in neural patterns between arm movements and speech.
Article Abstract
Speaking is a sensorimotor behavior whose neural basis is difficult to study with single neuron resolution due to the scarcity of human intracortical measurements. We used electrode arrays to record from the motor cortex 'hand knob' in two people with tetraplegia, an area not previously implicated in speech. Neurons modulated during speaking and during non-speaking movements of the tongue, lips, and jaw. This challenges whether the conventional model of a 'motor homunculus' division by major body regions extends to the single-neuron scale. Spoken words and syllables could be decoded from single trials, demonstrating the potential of intracortical recordings for brain-computer interfaces to restore speech. Two neural population dynamics features previously reported for arm movements were also present during speaking: a component that was mostly invariant across initiating different words, followed by rotatory dynamics during speaking. This suggests that common neural dynamical motifs may underlie movement of arm and speech articulators.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954053 | PMC |
| http://dx.doi.org/10.7554/eLife.46015 | DOI Listing |
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