The brain mechanism behind multitasking

June 21, 2017, Tel Aviv University
Credit: Tel Aviv University

Although "multitasking" is a popular buzzword, research shows that only 2% of the population actually multitasks efficiently. Most of us just shift back and forth between different tasks, a process that requires our brains to refocus time and time again—and reduces overall productivity by a whopping 40%.

New Tel Aviv University research identifies a mechanism that enables more efficient multitasking. The key to this is "reactivating the learned memory," a process that allows a person to more efficiently learn or engage in two tasks in close conjunction.

"The mechanism may have far-reaching implications for the improvement of learning and memory functions in daily life," said Dr. Nitzan Censor of TAU's School of Psychological Sciences and Sagol School of Neuroscience. "It also has clinical implications. It may support rehabilitation efforts following brain traumas that impact the and of patients, for example."

The research, conducted by TAU student Jasmine Herszage, was published in Current Biology.

Training the brain

"When we learn a new , we have great difficulty performing it and learning something else at the same time. For example, performing a motor task A (such as performing a task with one hand) can reduce performance in a second task B (such as performing a task with the other hand) conducted in close conjunction to it. This is due to interference between the two tasks, which compete for the same brain resources," said Dr. Censor. "Our research demonstrates that the brief reactivation of a single learned memory, in appropriate conditions, enables the long-term prevention of, or immunity to, future interference in the performance of another task performed in close conjunction."

The researchers first taught student volunteers to perform a sequence of motor finger movements with one hand, by learning to tap onto a keypad a specific string of digits appearing on a computer screen as quickly and accurately as possible. After acquiring this learned motor memory, the memory was reactivated on a different day, during which the participants were required to briefly engage with the task—this time with an addition of brief exposure to the same performed with their other hand. By utilizing the memory reactivation paradigm, the subjects were able to perform the two tasks without interference.

By uniquely pairing the brief reactivation of the original memory with the exposure to a new memory, long-term immunity to future interference was created, demonstrating a prevention of interference even a month after the exposures.

"The second task is a model of a competing memory, as the same sequence is performed using the novel, untrained hand," said Dr. Censor. "Existing research from studies on rodents showed that a reactivation of the memory of fear opened up a window of several hours in which the brain was susceptible to modifications—in which to modify memory.

"In other words, when a learned memory is reactivated by a brief cue or reminder, a unique time-window opens up. This presents an opportunity to interact with the and update it—degrade, stabilize or strengthen its underlying brain neural representations," Dr. Censor said. "We utilized this knowledge to discover a mechanism that enabled long-term stabilization, and prevention of task in humans.

The researchers are eager to understand more about this intriguing . "Is it the result of hardwired circuitry in the brain, which allows different learning episodes to be integrated? And how is this circuitry represented in the brain? By functional connections between distinct brain regions? It is also essential to determine test whether the identified mechanism is relevant for other types of tasks and memories, not only motor tasks," Dr. Censor concluded.

Explore further: When it comes to learning and memory, the brain is a co-operative continuum

More information: Jasmine Herszage et al, Memory Reactivation Enables Long-Term Prevention of Interference, Current Biology (2017). DOI: 10.1016/j.cub.2017.04.025

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