Summary: The paraventricular thalamus helps the brain identify and track the most salient details of a situation, helping to enhance learning, a new study reveals.
In order to learn about the world, an animal needs to do more than just pay attention to its surroundings. It also needs to learn which sights, sounds and sensations in its environment are the most important and monitor how the importance of those details change over time. Yet how humans and other animals track those details has remained a mystery.
Now, Stanford biologists report Oct. 26 in Science, they think they’ve figured out how animals sort through the details. A part of the brain called the paraventricular thalamus, or PVT, serves as a kind of gatekeeper, making sure that the brain identifies and tracks the most salient details of a situation. Although the research, funded in part by the Wu Tsai Neuroscience Institute’s Neurochoice Initiative, is confined to mice for now, the results could one day help researchers better understand how humans learn or even help treat drug addiction, said senior author Xiaoke Chen, an assistant professor of biology.
The results are a surprise, Chen said, in part because few had suspected the thalamus could do something so sophisticated. “We showed thalamic cells play a very important role in keeping track of the behavioral significance of stimuli, which nobody had done before,” said Chen, who is also a member of Stanford Bio-X and the Wu Tsai Neurosciences Institute.
Deciding what to learn
In its most basic form, learning comes down to feedback. For example, if you have a headache and take a drug, you expect the drug will make your headache go away. If you’re right, you’ll take that drug the next time you have a headache. If you’re wrong, you’ll try something else. Psychologists and neuroscientists have studied this aspect of learning extensively and even traced it to specific parts of the brain that process feedback and drive learning.
Still, that picture of learning is incomplete, Chen said. Even in relatively uncomplicated laboratory experiments, let alone life in the real world, humans and other animals need to figure out what to learn from – essentially, what’s feedback and what’s noise. Despite that need, it’s an issue psychologists and neuroscientists have not paid as much attention to.
To start to remedy that, Chen and colleagues taught mice to associate particular odors with good and bad outcomes. One odor signaled a sip of water was coming, while another signaled the mouse was about to get a puff of air to the face.
Later, the researchers replaced the air puff with a mild electric shock – something that would presumably command a bit more attention. The team found that neurons in the PVT tracked that change. During the air-puff phase, two-thirds of PVT neurons responded to both odors while an additional 30 percent were activated only by the odor signaling water. In other words, during this phase the PVT responded to both good and bad outcomes, but there was greater response to good.
During the electric-shock phase, however, the balance shifted. Almost all PVT neurons responded to the shock, while about three quarters of them responded to both good and bad outcomes.
A similar shift happened when mice had had their fill of water. Now that water mattered less to the mice, the PVT was less responsive to water and more responsive to air puffs, meaning it became more responsive to bad outcomes and less so to good ones. Taken together, the results showed the PVT tracks what was most important in the moment – the good outcome when that outweighed the bad, and vice versa.
A new place to look, and to tweak
The results point to several broader conclusions, Chen said. Perhaps most important, other researchers now have a place to look – the PVT – when they want to study how paying attention to different details affects how and what animals learn.
Neuroscientists also now have a new way to control learning, Chen said. In additional experiments with mice genetically modified so the team could control PVT activity with light, the researchers found they could inhibit or enhance learning – for example, they could more quickly teach mice that an odor no longer reliably signaled water was coming, or that another odor had switched from signaling water to signaling a shock.
Those results could point to new ways to modulate learning – in mice, for the time being – by stimulating or suppressing PVT activity as appropriate. They also point, in the long run, to ways to help treat drug addiction, Chen said, by helping addicts unlearn the association between taking a drug and the subsequent high.
Additional authors are Liqun Luo, the Ann and Bill Swindells Professor in the School of Humanities and Sciences and an investigator of the Howard Hughes Medical Institute; postdoctoral fellows Yingjie Zhu and Gregory Nachtrab; and graduate students Piper Keyes and William Allen.
Funding: The research was funded by the Whitehall Foundation, Ajinomoto Innovation Alliance Program, a Terman Fellowship, the Firmenich Next Generation Fund, the Brain and Behavior Research Foundation, the National Institute on Drug Abuse, the Fannie and John Hertz Foundation, and the National Science Foundation.
Source: Nathan Collins – Stanford
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is in the public domain.
Original Research: Abstract for “Dynamic salience processing in paraventricular thalamus gates associative learning” by Yingjie Zhu, Gregory Nachtrab, Piper C. Keyes, William E. Allen, Liqun Luo, and Xiaoke Chen in Science. Published October 26 2018.
Dynamic salience processing in paraventricular thalamus gates associative learning
The salience of behaviorally relevant stimuli is dynamic and influenced by internal state and external environment. Monitoring such changes is critical for effective learning and flexible behavior, but the neuronal substrate for tracking the dynamics of stimulus salience is obscure. We found that neurons in the paraventricular thalamus (PVT) are robustly activated by a variety of behaviorally relevant events, including novel (“unfamiliar”) stimuli, reinforcing stimuli and their predicting cues, as well as omission of the expected reward. PVT responses are scaled with stimulus intensity and modulated by changes in homeostatic state or behavioral context. Inhibition of the PVT responses suppresses appetitive or aversive associative learning and reward extinction. Our findings demonstrate that the PVT gates associative learning by providing a dynamic representation of stimulus salience.