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Summary: The hand knob area of the premotor cortex operates across a wide range of motor functions and body areas.
Source: Cell Press
Mapping different parts of the brain and determining how they correspond to thoughts, actions, and other neural functions is a central area of inquiry in neuroscience, but while previous studies using fMRI scans and EEG have allowed researchers to rough out brain areas connected with different types of neural activities, they have not allowed for mapping the activity of individual neurons.
Now in a paper publishing March 26 in the journal Cell, investigators report that they have used microelectrode arrays implanted in the brains of two people to map out motor functions down to the level of the single nerve cell. The study revealed that an area believed to control only one body part actually operates across a wide range of motor functions. It also demonstrated how different neurons coordinate with each other.
“This research shows for the first time that an area of the brain previously thought to be connected only to the arm and hand has information about the entire body,” says first author Frank Willett, a postdoctoral fellow in the Neural Prosthetics Translational Laboratory at Stanford University and the Howard Hughes Medical Institute. “We also found that this area has a shared neural code that links all the body parts together.”
The study, a collaboration between neuroscientists at Stanford and Brown University, is part of BrainGate2, a multisite pilot clinical trial focused on developing and testing medical devices to restore communication and independence in people affected by neurological conditions like paralysis and locked-in syndrome. A major focus of the Stanford team has been developing ways to restore the ability of these people to communicate through brain-computer interfaces (BCIs).
The new study involved two participants who have chronic tetraplegia–partial or total loss of function in all four limbs. One of them has a high-level spinal cord injury and the other has amyotrophic lateral sclerosis. Both have electrodes implanted in the so-called hand knob area of the motor cortex of their brains. This area–named in part for its knoblike shape–was previously thought to control movement in the hands and arms only.
The investigators used the electrodes to measure the action potentials in single neurons when the participants were asked to attempt to do certain tasks–for example, lifting a finger or turning an ankle. The researchers looked at how the microarrays in the brain were activated. They were surprised to find that the hand knob area was activated not only by movements in the hand and arm, but also in the leg, face, and other parts of the body.
“Another thing we looked at in this study was matching movements of the arms and legs,” Willett says, “for example, moving your wrist up or moving your ankle up. We would have expected the resulting patterns of neural activity in motor cortex to be different, because they are a completely different set of muscles. We actually found that they were much more similar than we would have expected.” These findings reveal an unexpected link between all four limbs in motor cortex that might help the brain to transfer skills learned with one limb to another one.
Willett says that the new findings have important implications for the development of BCIs to help people who are paralyzed to move again. “We used to think that to control different parts of the body, we would need to put implants in many areas spread out across the brain,” he notes. “It’s exciting, because now we can explore controlling movements throughout the whole body with an implant in only one area.”
One important potential application for BCIs is allowing people who are paralyzed or have locked-in syndrome to communicate by controlling a computer mouse or other device. “It may be that we can connect different body movements to different types of computer clicks,” Willett says. “We hope we can leverage these different signals more accurately to enable someone who can’t talk to use a computer, since neural signals from different body parts are easier for a BCI to tease apart than those from the arm or hand alone.”
Funding: This work was supported by the Office of Research and Development, Rehabilitation R and D Service, Department of Veterans Affairs, the Executive Committee on Research of Massachusetts General Hospital, NIDCD, NINDS, Larry and Pamela Garlick, Samuel and Betsy Reeves, the Wu Tsai Neuroscience Institute at Stanford, the Simons Foundation Collaboration on the Global Brain, the Office of Naval Research, and the Howard Hughes Medical Institute.
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Source: Cell Press Media Contacts: Carly Britton – Cell Press Image Source: The image is in the public domain.
Original Research: Open access “Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way”. Frank Willett et al. Cell doi:10.1016/j.cell.2020.02.043.
Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way
Highlights • “Hand knob” area of premotor cortex is tuned to the entire body • A compositional neural code links matching movements from all 4 limbs •Separate coding of the movement and limb to be moved may facilitate skill transfer • A discrete BCI can accurately decode movements of all 4 limbs from hand knob
Summary Decades after the motor homunculus was first proposed, it is still unknown how different body parts are intermixed and interrelated in human motor cortical areas at single-neuron resolution. Using multi-unit recordings, we studied how face, head, arm, and leg movements are represented in the hand knob area of premotor cortex (precentral gyrus) in people with tetraplegia. Contrary to traditional expectations, we found strong representation of all movements and a partially “compositional” neural code that linked together all four limbs. The code consisted of (1) a limb-coding component representing the limb to be moved and (2) a movement-coding component where analogous movements from each limb (e.g., hand grasp and toe curl) were represented similarly. Compositional coding might facilitate skill transfer across limbs, and it provides a useful framework for thinking about how the motor system constructs movement. Finally, we leveraged these results to create a whole-body intracortical brain-computer interface that spreads targets across all limbs.
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