Why Do Humans Sleep? Scientists Find Clues for Solving This Age-Old Mystery
Dr Rohit BhaskarJuly 18, 2022
According to the researchers, this study found the clearest indication of motor cortex replay during human sleep that has ever been seen.
New insights into brain activity when sleeping may help in the creation of tools for those suffering from neurologic disease or damage
Why do humans sleep? This issue has been debated by scientists for hundreds of years, but a recent study from Massachusetts General Hospital (MGH) researchers that was carried out in collaboration with experts from Brown University, the Department of Veterans Affairs, and several other institutions adds new clues for solving this mystery. Their research, which was recently published in the Journal of Neuroscience, may help to explain how individuals remember things and pick up new skills. It may also help with the creation of assistive tools for those with neurological conditions or injuries.
According to the lead author of the research and neurologist Daniel Rubin, MD, Ph.D., of the MGH Center for Neurotechnology and Neurorecovery, scientists have long known that during sleep, a phenomenon known as “replay” takes place. Replay is thought to be a mechanism used by the brain to recall new information. When a mouse is taught to navigate a labyrinth, monitoring equipment may indicate that a precise pattern of brain cells, or neurons, light up as it follows the proper path. “Then, later on, while the animal is sleeping, you can see that those neurons will fire again in that same order,” says Rubin. Scientists theorize that this is how the brain practices newly acquired knowledge during sleep, allowing memories to be consolidated—that is, turned from short-term memories to long-term memories.
Replay, however, has only been properly shown in lab animals. “There’s been an open question in the neuroscience community: To what extent is this model for how we learn things true in humans? And is it true for different kinds of learning?” asks neurologist Sydney S. Cash, MD, Ph.D., co-director of the Center for Neurotechnology and Neurorecovery at MGH and co-senior author of the study. Importantly, says Cash, understanding whether replay occurs with the learning of motor skills could help guide the development of new therapies and tools for people with neurologic diseases and injuries.
Researchers have found the first evidence of replay in the human motor cortex, which controls voluntary movement, in a new study. This might give insights to the developers of assistive tools for people with paralysis and also provide information about how we learn and create long-term memories. Credit: Massachusetts General Hospital
To study whether replay occurs in the human motor cortex—the brain region that governs movement—Rubin, Cash, and their colleagues enlisted a 36-year-old man with tetraplegia (also called quadriplegia), meaning he is unable to move his upper and lower limbs, in his case due to a spinal cord injury. The man, identified in the study as T11, is a participant in a clinical trial of a brain-computer interface device that allows him to use a computer cursor and keyboard on a screen. The investigational device is being developed by the BrainGate consortium, a collaborative effort involving clinicians, neuroscientists, and engineers at several institutions with the goal of creating technologies to restore communication, mobility, and independence for people with neurologic disease, injury, or limb loss. The consortium is directed by Leigh R. Hochberg, MD, Ph.D., of MGH, Brown University, and the Department of Veterans Affairs.
In the study, T11 was asked to perform a memory task similar to the electronic game Simon, in which a player observes a pattern of flashing colored lights, then has to recall and reproduce that sequence. He controlled the cursor on the computer screen simply by thinking about the movement of his own hand. Sensors implanted in T11’s motor cortex measured patterns of neuronal firing, which reflected his intended hand movement, allowing him to move the cursor around on the screen and click it at his desired locations. These brain signals were recorded and wirelessly transmitted to a computer.
That night, while T11 slept at home, activity in his motor cortex was recorded and wirelessly transmitted to a computer. “What we found was pretty incredible,” says Rubin. “He was basically playing the game overnight in his sleep.” On several occasions, says Rubin, T11’s patterns of neuronal firing during sleep exactly matched patterns that occurred while he performed the memory-matching game earlier that day.
“This is the most direct evidence of replay from the motor cortex that’s ever been seen during sleep in humans,” says Rubin. Most of the replay detected in the study occurred during slow-wave sleep, a phase of deep slumber. Interestingly, replay was much less likely to be detected while T11 was in REM sleep, the phase most commonly associated with dreaming. Rubin and Cash see this work as a foundation for learning more about replay and its role in learning and memory in humans.
“Our hope is that we can leverage this information to help build better brain-computer interfaces and come up with paradigms that help people learn more quickly and efficiently in order to regain control after an injury,” says Cash, noting the significance of moving this line of inquiry from animals to human subjects. “This kind of research benefits enormously from the close interaction we have with our participants,” he adds, with gratitude to T11 and other participants in the BrainGate clinical trial.
Hochberg concurs. “Our incredible BrainGate participants provide not only helpful feedback toward the creation of a system to restore communication and mobility, but they also give us the rare opportunity to advance fundamental human neuroscience—to understand how the human brain works at the level of circuits of individual neurons,” he says, “and to use that information to build next-generation restorative neurotechnologies.”
Rubin is also an instructor in neurology at Harvard Medical School (HMS). Cash is an associate professor of Neurology at HMS. Hochberg is a senior lecturer on Neurology at HMS and a professor of Engineering at Brown University.
The study was funded by the National Institute of Neurologic Disease and Stroke, the American Academy of Neurology, the National Institute of Mental Health, Conquer Paralysis Now, the Department of Veterans Affairs, the MGH-Deane Institute, and the Howard Hughes Medical Institute at Stanford University.
Reference: “Learned Motor Patterns Are Replayed in Human Motor Cortex during Sleep” by Daniel B. Rubin, Tommy Hosman, Jessica N. Kelemen, Anastasia Kapitonava, Francis R. Willett, Brian F. Coughlin, Eric Halgren, Eyal Y. Kimchi, Ziv M. Williams, John D. Simeral, Leigh R. Hochberg and Sydney S. Cash, 22 June 2022, Journal of Neuroscience. DOI: 10.1523/JNEUROSCI.2074-21.2022
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