This is your brain on smells

A new study explores how the brain encodes different scents — a topic which scientists know relatively little about, compared to our other senses.

plants and burning incense
Pixabay
  • Unlike sight and hearing, our sense of smell remains poorly understood.
  • In a new study, scientists used machine learning to categorize thousands of different odors based on chemical properties.
  • By exposing mice to odors and measuring their neural activity, the scientists found that the brain more closely groups together odors that are chemically similar.

Science can tell us quite a bit about how the brain converts light and soundwaves to our sense of sight and hearing. But our sense of smell is less understood.

Scientists know that smell is based on the chemical makeup of things we encounter in the world. The nose communicates information about odor molecules to the brain's olfactory bulb, which then sends signals to the piriform cortex. This brain region then processes that information to produce our perception of smell. What's remained mysterious, however, is how the brain encodes and categorizes information about various types of scents.

A new study, published in Nature by researchers from Harvard Medical School, sheds light on the inner workings of the olfactory process.

"All of us share a common frame of reference with smells," senior study author Sandeep Robert Datta, associate professor of neurobiology in the Blavatnik Institute at HMS, told Harvard Medical School News. "You and I both think lemon and lime smell similar and agree that they smell different from pizza, but until now, we didn't know how the brain organizes that kind of information."

The researchers wanted to better understand how the brain is able to discern between related but distinct scents, such as that of a lemon and lime.

"The fact that we all think a lemon and lime smell similar means that their chemical makeup must somehow evoke similar or related neural representations in our brains," Datta said.

Illustration of multiphoton microscopy

Illustration of multiphoton microscopy

Pashkovski et al.


To investigate, the researchers created a database of thousands of odorous chemical structures, and they used machine learning to categorize them by features such as number of atoms, molecular weight and electrochemical properties. These odors were separated into three categories: high diversity, intermediate diversity and low diversity.

Then the researchers exposed different odors to mice, and used multiphoton microscopy to record neural activity in the piriform cortex and olfactory bulb. The results showed that when odors are chemically similar, so too is neural activity. In other words, the cortex emphasizes relationships between chemically similar odors, and it creates groupings for similar odors, which helps us distinguish between objects in the world.

Smell and neuroplasticity 

The results also suggest that perception of smell is flexible. For example, the team repeatedly exposed mice to a combination of two chemically dissimilar odors. Over time, images showed that the neural patterns produced by the pair of odors become more strongly correlated.

"We presented two odors as if they're from the same source and observed that the brain can rearrange itself to reflect passive olfactory experiences," Datta said. "The plasticity of the cortex may help explain why smell is on one hand invariant between individuals, and yet customizable depending on our unique experiences."

lemon, cinnamon, sugar, and star anise

Pixabay

The study provides some of the first information on how the olfactory cortex maps different odors. And the results also suggest that, by better understanding the chemical structure of different odors and how that mapping process works, scientists may someday be able to better control our sense of smell.

"We don't fully understand how chemistries translate to perception yet," Datta said. "There's no computer algorithm or machine that will take a chemical structure and tell us what that chemical will smell like. To actually build that machine and to be able to someday create a controllable, virtual olfactory world for a person, we need to understand how the brain encodes information about smells. We hope our findings are a step down that path."

Why the number 137 is one of the greatest mysteries in physics

Famous physicists like Richard Feynman think 137 holds the answers to the Universe.

Pixabay
Surprising Science
  • The fine structure constant has mystified scientists since the 1800s.
  • The number 1/137 might hold the clues to the Grand Unified Theory.
  • Relativity, electromagnetism and quantum mechanics are unified by the number.
Keep reading Show less

Americans under 40 want major reforms, expanded Supreme Court

Younger Americans support expanding the Supreme Court and serious political reforms, says new poll.

Demonstrators In Louisville calling for justice for Breonna Taylor.

Credit: Jon Cherry/Getty Images
Politics & Current Affairs
  • Americans under 40 largely favor major political reforms, finds a new survey.
  • The poll revealed that most would want to expand the Supreme Court, impose terms limits, and make it easier to vote.
  • Millennials are more liberal and reform-centered than Generation Z.
Keep reading Show less

Can fake news help you remember real facts better?

A 2020 study published in the journal of Psychological Science explores the idea that fake news can actually help you remember real facts better.

Credit: Rawpixel.com on Shutterstock
Mind & Brain
  • In 2019, researchers at Stanford Engineering analyzed the spread of fake news as if it were a strain of Ebola. They adapted a model for understanding diseases that can infect a person more than once to better understand how fake news spreads and gains traction.
  • A new study published in 2020 explores the idea that fake news can actually help you remember real facts better.
  • "These findings demonstrate one situation in which misinformation reminders can diminish the negative effects of fake-news exposure in the short term," researchers on the project explained.
Keep reading Show less
Scroll down to load more…
Quantcast