Slow-wave Sleep Linked To Visual Learning Ability

Published

Visual perceptual learning occurs in the brain during sleep, suggests new research from the University of Michigan. You might recall those “Magic Eye” posters from the 1990s where you let your eyes relax, and out of the shifting structures, a 3D image of a giraffe or a unicorn or a palm tree would appear.

Becoming adept at seeing those 3D images is an example of visual perceptual learning. Researchers working with mice have found this learning is cemented in the brain during the deepest part of sleep, known as slow-wave sleep.

When we see something, our retinas transmit that image to the thalamus in the brain, where neurons send very basic visual information to the visual cortex to be processed, says Sara Aton, assistant professor of molecular, cellular, and developmental biology at University of Michigan, and one of the authors of the published study.

Slow-wave Sleep Brain Activity

When the brain is awake, neurons in the thalamus and cortex fire steadily to transmit visual information between them. However, in slow-wave sleep, those neurons will burst and then pause rhythmically and in synchrony, Aton says.

There is also communication in the opposite direction — between the visual cortex and thalamus — forming a loop of communication between the two structures.

Previous work by the Aton lab had shown that after presenting mice with a new type of visual experience and then allowing those mice to sleep, neurons in the cortex fired more when seeing that stimuli again.

But the lab also showed the brain needs sleep in order to make cortical changes. If mice were sleep deprived after the experience, no changes in the cortex occurred.

“We wondered what would happen if we just disrupted that pattern of activity without waking up these animals at all? The big finding in our study is that if you disrupt communication from the cortex to the thalamus during slow-wave sleep, it will completely disrupt that slow-wave rhythm and the plasticity in the visual cortex,”

Aton says.

Rhythm Disruption

The researchers switched off neurons, using optogenetics, in the visual cortex that complete the “loop,” sending information back to the thalamus, while the mice were naturally asleep or awake. While this did not wake the sleeping mice, it did keep them from having coordinated rhythms of activity between the two structures during slow-wave sleep.

Aton says if cortex-to-thalamus communication is disrupted in any other behavioural state such as wakefulness or REM, there’s no effect on sleep-dependent plasticity of the visual cortex.

“But if you disrupt these oscillatory patterns during slow-wave sleep, you see a deficit,” Aton adds. “What we’re thinking is you need these big waves of activity occurring in order to have that benefit of sleep.”

What is the significance of the waves?

Lead author Jaclyn Durkin, a doctoral student in Aton’s lab, made recordings in both a part of the thalamus called the lateral geniculate nucleus, which processes visual information, and the visual cortex of mice. She tracked the activity of these populations of neurons while presenting the mice with patterns of visual stimulation.

She did this across many hours of subsequent sleep.

“In these mice, during visual experience, we saw immediate changes in the neurons in the thalamus, but nothing going on in the visual cortex,” Aton says. “These waves during subsequent sleep are apparently able to transfer information from the thalamus to the cortex, and that information reflects what that animal has just been looking at.”

Next, the researchers plan to test what types of information can be relayed in this way, and determine exactly how information is relayed to cortex by thalamic neurons. They also hope to test how sleep-dependent plasticity in the visual cortex affects visual perception and visual memory in their mice.

Jaclyn Durkin, Aneesha K. Suresh, Julie Colbath, Christopher Broussard, Jiaxing Wu, Michal Zochowski, and Sara J. Aton
Cortically coordinated NREM thalamocortical oscillations play an essential, instructive role in visual system plasticity
PNAS 2017 114 (39) 10485-10490; doi:10.1073/pnas.1710613114