Date September 23, 2026
Media Contact

Brain-computer interface study sheds light on neural activity during observation, or 'mirror neurons'

A study provides new details about how the brain’s motor cortex reacts when people watch actions by agents that may appear more human, or less.

PROVIDENCE, R.I. [Brown University] — Scientists have known for years that neural activity in the brain’s motor cortex doesn’t just happen when people are performing actions. Neurons associated with actions —reaching with a hand to grasp an object, for example — also fire when a person watches an action performed by someone else. This observational activity, which underlies a concept known as “mirror neurons,” may play a role in how humans and other primates learn to perform physical tasks.

Now, neuroscientists have uncovered new insights into how this observational motor activity works. In a study that recorded the activity of individual neurons as people watched hand-like agents perform actions, the research team found that observational activity is tied to how human-like the hand performing the action appears to be. Actions performed by realistic-looking hands elicited the strongest observational response, while robotic hands or more abstract representations were associated with proportionally weaker responses.

The findings, published in Proceedings of the National Academy of Sciences, suggest that observational neural activity is not the work of specialized mirror neuron cells that light up when watching human actions, but rather an ensemble of neural networks that respond in a graded fashion to different stimuli. The results could be helpful in designing new brain-controlled assistive devices aimed at restoring function in people affected by paralysis.

The work, part of the BrainGate clinical trial, was led by neuroscientists at Brown University, the Mass General Brigham Center for Neurotechnology and Neurorecovery and the VA Center for Neurorestoration and Neurotechnology. The BrainGate trial aims to design intracortical brain-computer interface (BCI) systems that restore function in people who have lost the ability to move or communicate from illness or injury.

“The main motivation for this work was to look at how visual feedback may influence people’s ability to use BCIs to control different types of external devices like computer cursors or assistive robotics,” said Jacob Gusman, the study’s lead author who performed the work as a graduate student at Brown. “We also gained some fundamental insights into basic neuroscience questions surrounding this idea of mirror neurons.”

No specialized cells

For the study, the researchers worked with two people with tetraplegia — the loss of mobility in all four limbs. As part of the BrainGate clinical trial, both participants had tiny electrode arrays placed surgically in the motor cortex of their brains. The arrays record the activity of individual neurons as people think about performing movements with their limbs. Those brain signals can be used to control external assistive devices, enabling people to operate robotic arms, computers and other technologies just by thinking about the movement of their own limbs or speaking.

Grippers

 

Researchers found that observational activity declines proportionally to how human-like a gripper looks.

The study involved several sets of research sessions to probe how the motor cortex responds to observed movements. In one series of sessions, the participants watched animations of hand-like effectors as they performed simple tasks like a pinch grip or a fist-like power grip. The effectors varied in how human-like they looked. There was a fully human hand, an anthropomorphic robot hand, a three-pronged robot claw and a cube, which was included as a clearly non-humanlike gripping object. The BCI recorded the participants’ neural activity as they watched each of the animations.

The experiment found that observational neural activity was strongest for the most human-like effectors and decreased gradually as the effectors became less human-like. The pattern held both at the network level — more neurons fired when the activity was more human-like — and at the level of individual neurons, where the firing rate was faster with more human-like stimuli.

“What this suggests is that observational activity isn’t driven by specialized ‘mirror neuron’ cells,” Gusman said. “It’s really a network effect that’s sensitive to how anthropomorphic the observed stimuli are.”

The findings became more nuanced, however, when participants were asked to attempt the grip themselves while watching the effectors. Under those conditions, all of the effectors elicited similar levels of neural activity, regardless of how human-like they looked. That finding, the researchers say, suggests that when a person is actively trying to move, that movement-related signaling in the motor cortex is substantially greater than the observational signals, hinting that an effector's human-likeness may matter less once someone is actually engaged in controlling it.

An “aha” moment

The findings from the effector sessions were broadly echoed in a second set of research sessions involving dot-pattern animations of human hands. High-fidelity dot patterns that were easily recognizable as hands elicited stronger observational responses than sparser, more amorphous renderings. But the dot-pattern sessions also revealed a potential cognitive aspect to observational neural activity.

Dot Animations

 

An experiment with dot patterns led to an "a-ha" moment.

During an exploratory session using dot-pattern animations, one of the participants recognized a more abstract animation as resembling a human hand before being told that’s what it was, saying, “Oh, I figured it out.” That “aha” moment enabled the researchers to compare neural activity before and after the participant became consciously aware that the more abstract animations were supposed to be human hands. They found that, after that moment, neural activity increased across degrees of human-like appearance, suggesting that cognitive context can influence observational neural activity. 

“At least for this one participant, his recognition that this dot-pattern stimulus resembled a human hand appeared to trigger this hand area of his motor cortex to begin responding while he watched the stimulus,” Gusman said. “At a minimum, this finding suggests that in addition to bottom-up visual input, top-down contextual cues may also be involved in producing this mirror-like response.”

In addition to providing guidance in developing brain-controlled assistive devices, the researchers say the work provides unprecedented insights into how the brain processes observed actions.

“The ultimate goal of the BrainGate clinical trial is to help people who have lost the ability to move or communicate after an injury or illness,” said study co-author Leigh Hochberg, a professor of engineering and neuroscience at Brown who leads the BrainGate clinical trial. “Along the way, we’re making important discoveries about how the brain plans and executes body movements, and this work is an example of the fundamental neuroscience that we learn only because of the engagement of our extraordinary clinical trial participants. These findings will help to inform the next generation of implantable BCIs for people with neurologic injury.”

The research was supported by the American Heart Association (19CSLOI34780000), the Department of Veterans Affairs (N2864C, A2295R, A4820R), the National Institutes of Health (NINDS-UH2NS095548, NIDCD U01DC017844), the Movement Disorder Foundation, the ALS Association and the Cerebral Palsy Alliance Research Foundation. CAUTION: Investigational Device. Limited by Federal Law to Investigational Use.