Researchers at the University of Utah Health have discovered that “time cells” in mice are crucial for learning tasks where timing is critical. These cells change their firing patterns as mice learn to distinguish between timed events, suggesting a role beyond just measuring time. This finding could help in the early detection of neurodegenerative diseases like Alzheimer’s by highlighting the importance of the medial entorhinal cortex (MEC), which is among the first brain regions affected by such diseases.

Researchers at the University of Utah Health found that “time cells” in mice adapt to learning timed tasks, a discovery that could aid early Alzheimer’s detection by monitoring changes in a key brain region.

Our perception of time is crucial to our interaction with and understanding of the world around us. Whether we’re engaging in a conversation or driving a car, we need to remember and gauge the duration of events—a complex but largely unconscious calculation running constantly beneath the surface of our thoughts.

Now, researchers at the University of Utah Health have found that, in mice, a specific population of “time cells” is essential for learning complex behaviors where timing is critical. Like the second hand of a clock, time cells fire in sequence to map out short periods of time.

But time cells aren’t just a simple clock, the researchers found—as animals learn to distinguish between differently timed events, the pattern of time cell activity changes to represent each pattern of events differently. The discovery could ultimately aid in the early detection of neurodegenerative diseases, such as Alzheimer’s, that affect the sense of time.

The new study is published in Nature Neuroscience.

Mouse code

By combining a complex time-based learning task with advanced brain imaging, researchers were able to watch patterns of time cell activity become more complex as the mice learned. The researchers first set up a trial where learning the differences in the timing of events was critical. To get a reward, mice had to learn to distinguish between patterns of an odor stimulus that had variable timing, as if they were learning a very simple form of Morse code.

Left to right: James Heys, PhD; Erin Bigus; Hyunwoo Lee, PhD. Credit: Left to right: Charlie Ehlert, Matthieu Couriol, Kyung Jennifer Lee.

Before and after the mice learned, the researchers used cutting-edge microscopy to watch individual time cells fire in real-time. At first, their time cells responded in the same way to every pattern of odor stimulus. But as they learned the differently timed patterns of stimulus, the mice developed different patterns of time cell activity for each pattern of events.

Notably, during trials that the mice got wrong, the researchers could see that their time cells had often fired in the wrong order, suggesting that the right sequence of time cell activity is critical for performing time-based tasks. “Time cells are supposed to be active at specific moments during the trial,” said Hyunwoo Lee, PhD, a postdoctoral fellow in neurobiology in the Spencer Fox Eccles School of Medicine at the University of Utah and co-first author on the study. “But when the mice made mistakes, that selective activity became messy.”

Not just a stopwatch

Surprisingly, time cells play a more complicated role than merely tracking time, said Erin Bigus, graduate research assistant in neurobiology and co-first author on the study. When the researchers temporarily blocked the activity of the brain region that contains time cells, the medial entorhinal cortex (MEC), mice could still perceive and even anticipate the timing of events. But they couldn’t learn complex time-related tasks from scratch. “The MEC isn’t acting like a really simple stopwatch that’s necessary to track time in any simple circumstance,” Bigus said. “Its role seems to be in actually learning these more complex temporal relationships.”

The researchers used advanced brain imaging to watch neurons fire before and after mice learned. Credit: Heys Lab / University of Utah Health

Intriguingly, prior research on the MEC found that it’s also involved in learning spatial information and building “mental maps.” In the new study, researchers noticed that the patterns of brain activity that occur while learning time-based tasks show some similarities to previously observed patterns involved in spatial learning; aspects of both patterns persist even while an animal isn’t actively learning.

While more research is needed, these results suggest that the brain could process space and time in fundamentally similar ways, according to the researchers. “We believe that the entorhinal cortex might serve a dual purpose, acting both as an odometer to track distance and as a clock to track elapsed time,” said James Heys, PhD, assistant professor in neurobiology and the senior author on the study.

“These are the first areas of the brain to be affected by neurodegenerative diseases like Alzheimer’s. We are interested in exploring whether complex timing behavior tasks could be a useful way to detect the early onset of Alzheimer’s disease.” – James Heys

Learning how the brain processes time could ultimately aid in the detection of neurodegenerative diseases such as Alzheimer’s, the researchers say. The MEC is one of the first areas of the brain that Alzheimer’s affects, hinting that complex timing tasks could potentially be a way to catch the disease early.

Reference: “Medial entorhinal cortex mediates learning of context-dependent interval timing behavior” by Erin R. Bigus, Hyun-Woo Lee, John C. Bowler, Jiani Shi and James G. Heys, 14 June 2024, Nature Neuroscience.
DOI: 10.1038/s41593-024-01683-7

The study was funded by the U.S. National Science Foundation, the Whitehall Foundation, the Brain and Behavior Research Foundation, the National Institute of Mental Health, the National Research Foundation of Korea, and the University of Utah.