Summary: Taking a short rest following a learning activity to help strengthen memory consolidation.
In a study of healthy volunteers, National Institutes of Health researchers found that our brains may solidify the memories of new skills we just practised a few seconds earlier by taking a short rest. The results highlight the critically important role rest may play in learning.
“Everyone thinks you need to ‘practice, practice, practice’ when learning something new. Instead, we found that resting, early and often, may be just as critical to learning as practice,” said Leonardo G. Cohen, M.D., Ph.D., senior investigator at NIH’s National Institute of Neurological Disorders and Stroke and a senior author of the paper published in the journal Current Biology. “Our ultimate hope is that the results of our experiments will help patients recover from the paralyzing effects caused by strokes and other neurological injuries by informing the strategies they use to ‘relearn’ lost skills.”
The study was led by Marlene Bönstrup, M.D., a postdoctoral fellow in Dr. Cohen’s lab. Like many scientists, she held the general belief that our brains needed long periods of rest, such as a good night’s sleep, to strengthen the memories formed while practising a newly learned skill. But after looking at brain waves recorded from healthy volunteers in learning and memory experiments at the NIH Clinical Center, she started to question the idea.
The waves were recorded from right-handed volunteers with a highly sensitive scanning technique called magnetoencephalography. The subjects sat in a chair facing a computer screen and under a long cone-shaped brain scanning cap. The experiment began when they were shown a series of numbers on a screen and asked to type the numbers as many times as possible with their left hands for 10 seconds; take a 10-second break; and then repeat this trial cycle of alternating practice and rest 35 more times. This strategy is typically used to reduce any complications that could arise from fatigue or other factors.
As expected, the volunteers’ speed at which they correctly typed the numbers improved dramatically during the first few trials and then leveled off around the 11th cycle. When Dr. Bönstrup looked at the volunteers’ brain waves she observed something interesting.
“I noticed that participants’ brain waves seemed to change much more during the rest periods than during the typing sessions,” said Dr. Bönstrup. “This gave me the idea to look much more closely for when learning was actually happening. Was it during practice or rest?”
By reanalyzing the data, she and her colleagues made two key findings. First, they found that the volunteers’ performance improved primarily during the short rests, and not during typing. The improvements made during the rest periods added up to the overall gains the volunteers made that day. Moreover, these gains were much greater than the ones seen after the volunteers returned the next day to try again, suggesting that the early breaks played as critical a role in learning as the practising itself.
Second, by looking at the brain waves, Dr. Bönstrup found activity patterns that suggested the volunteers’ brains were consolidating, or solidifying, memories during the rest periods. Specifically, they found that the changes in the size of brain waves, called beta rhythms, correlated with the improvements the volunteers made during the rests.
Further analysis suggested that the changes in beta oscillations primarily happened in the right hemispheres of the volunteers’ brains and along neural networks connecting the frontal and parietal lobes that are known to help control the planning of movements. These changes only happened during the breaks and were the only brain wave patterns that correlated with performance.
“Our results suggest that it may be important to optimize the timing and configuration of rest intervals when implementing rehabilitative treatments in stroke patients or when learning to play the piano in normal volunteers,” said Dr. Cohen. “Whether these results apply to other forms of learning and memory formation remains an open question.”
Dr. Cohen’s team plans to explore, in greater detail, the role of these early resting periods in learning and memory.
Funding: This study was supported by NINDS’ Intramural Research Program and the German National Academy of Sciences Leopoldina (LPDS 2016-01).
Christopher G. Thomas – NIH/NINDS
The image is credited to Cohen lab, NIH/NINDS.
Original Research: Open access.
“A Rapid Form of Offline Consolidation in Skill Learning” Marlene Bönstrup, Iñaki Iturrate, Ryan Thompson, Gabriel Cruciani, Nitzan Censor, Leonardo G. Cohen. Current Biology Published online: March 28, 2019 doi:10.1016/j.cub.2019.02.049
A Rapid Form of Offline Consolidation in Skill Learning
• Temporal microscale of motor-skill learning reveals strong gains during rest periods
• Online motor-skill learning may rely largely on gains during short periods of rest
• Frontoparietal beta oscillatory activity predicts these micro-offline gains
• This rapid form of consolidation substantially contributes to early skill learning
The brain strengthens memories through consolidation, defined as resistance to interference (stabilization) or performance improvements between the end of a practice session and the beginning of the next (offline gains) . Typically, consolidation has been measured hours or days after the completion of training , but the same concept may apply to periods of rest that occur interspersed in a series of practice bouts within the same session. Here, we took an unprecedented close look at the within-seconds time course of early human procedural learning over alternating short periods of practice and rest that constitute a typical online training session. We found that performance did not markedly change over short periods of practice. On the other hand, performance improvements in between practice periods, when subjects were at rest, were significant and accounted for early procedural learning. These offline improvements were more prominent in early training trials when the learning curve was steep and no performance decrements during preceding practice periods were present. At the neural level, simultaneous magnetoencephalographic recordings showed an anatomically defined signature of this phenomenon. Beta-band brain oscillatory activity in a predominantly contralateral frontoparietal network predicted rest-period performance improvements. Consistent with its role in sensorimotor engagement , modulation of beta activity may reflect replay of task processes during rest periods. We report a rapid form of offline consolidation that substantially contributes to early skill learning and may extend the concept of consolidation to a time scale in the order of seconds, rather than the hours or days traditionally accepted.