Whether its leg shaking, weight shifting, foot or finger tapping, making uninstructed movements—otherwise known as fidgeting—is common to most of us. Now, a group of researchers has shown that making these movements is not limited to humans, by studying neural activity of mice when they performed trained tasks.

Anne Churchland, PhD, associate professor at Cold Spring Harbor Laboratories and senior author on the paper, is interested in the neural circuits that are connected to decision making. The starting point for this paper was looking at the neural activity all across the top part of the brain in a mouse while it was engaged in decision-making tasks.

The scientists note in their paper that most efforts to understand neural activity during well-learned tasks “focus on cognitive computations and task-related movements.” Given that, they wondered whether task-performing animals explore “a broader movement landscape and how this impacts neural activity.”

They measured the activity with wide-field imaging, which Churchland likens to an fMRI (used for mapping brain activity) for a mouse. The results are published in the paper, “Single-trial neural dynamics are dominated by richly varied movements” in Nature Neuroscience.

The mice in Churchland’s lab were trained to make specific movements, like grabbing little handles to initiate a trial, and lick one way or the other to report their decisions. The scientists expected to see neural activity related to movements that had to do with handle grabbing or with licking. What they saw was that one seemingly simple task set off a symphony of electrical activity across the mouse brain. It made the team realize that they weren’t thinking about decision making in a very complete way.

“This really didn’t look like what we expected it to. So, we dug a little deeper and tried to figure out what was driving this activity,” Churchland said.

They found that most of the activity was driven by uninstructed movements that the animal was making like hind limb movements, pupil dilations, facial movements, nose movements, and whisker movements.

“We think of all these together as making up a movement landscape. We were always aware of a few of these movements, but the landscape is turning out to be much richer than we had realized,” she said. “We thought the animals were 100 percent focused on our task, and the licking and the grabbing and the deciding. It turned out that they had their own set of priorities that involved a lot of movements of all different kinds.”

“Fidgeting is a common yet ‘nonessential’ behavior we exhibit,” wrote Mackenzie Weygandt Mathis, PhD, who is in the process of starting a lab at the Rowland Institute at Harvard University, in an accompanying News and Views article titled, “A new spin on fidgets” and published in Nature Neuroscience. She added that this new evidence suggests that “this non-task-related movement profoundly shapes neural activity in expert mice performing tasks.”

Churchland and her lab are still working to understand what these priorities are and how they accompany decisions. To Churchland, an interesting, albeit speculative, idea to come out of the study is that movements are more tightly connected to cognition than people recognized before.

“One hypothesis that we find intriguing is that in some way, maybe the movements are part of the process of thinking and deciding,” she said. “There might be this other aspect of fidgeting that people haven’t really considered before, which is that it’s part of how we call up that cognitive machinery. There are a lot of people who want to move when they’re thinking. And for a lot of people, it seems that part of what it means for them to think is to be moving around.”

“You can see activity in a big part of the brain all at the same time,” she said. “We usually just measure neurons in one small part of the brain at a time, and don’t usually get a whole big-picture view like this.”

For the science community researching cognition, the new results present a major cautionary tale about discerning signals uniquely related to cognitive processes and signals related to background movements, Churchland said. Researchers will have to work to disentangle the two signals from one another, and this study provides guidelines and computational codes on how to correct for it.

In addition, the authors wrote that “revealing the impact of uninstructed movements on neural activity is critical for behavioral experiments: movements may account for considerable trial-by-trial variance and also mimic or overshadow the cognitive processes that are commonly studied in trial-averaged data.”

Churchland thinks that to understand this link between cognition and movements better, it’s worthwhile to look at animals that are genetic models of human irregularities where the amount of movement and the kind of movement are aberrant. An example is the genetic model of Attention Deficit Hyperactivity Disorder (ADHD). Under many circumstances, people diagnosed with ADHD move a lot more.

“Maybe they need to move more because activating their cognitive machinery requires more movements compared to the average person. Or, maybe ADHD is an example of a system that is a little bit miscalibrated,” she said. “Many of us can rock our chair a little bit and finally concentrate deeply. Whereas people with other kinds of brains, if they want to concentrate deeply, simply rocking the chair doesn’t work that well.”

 

 

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