Science

Mapping the thesaurus of the human brain

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The research reveals that at least a third of the brain's cerebral cortex is involved in processing language
UC Berkeley/Nature
The research reveals that at least a third of the brain's cerebral cortex is involved in processing language
UC Berkeley/Nature
The results revealed that while everyone's brain is, of course, different, patients shared broadly similar language maps, with types of word arrayed in a roughly similar manner across the brains of the different participants
UC Berkeley/Nature

Researchers from the University of California, Berkeley (UC Berkeley) have used MRI data to create what they call a "semantic atlas," using vivid colors in multiple dimensions to show how the brain organizes language. The greater understanding that the map provides could one day help patients suffering from conditions such as motor neuron diseases and strokes in making themselves understood.

Recently, we've seen some big developments in our understanding of exactly how the brain works, with scientists at Ohio State University working to pinpoint where in the brain we process facial expressions. Now, researchers from the University of California, Berkeley are tackling another big question – that of how we process language, creating a map that describes how the brain organizes words.

The new study involved seven participants listening to stories from the Moth Radio Hour – a public radio show – for two hours while remaining motionless inside an MRI machine. The blood flow in the patients' brains was measured as they listened with their eyes closed. That data then matched to time-coded transcripts of the stories, and finally through a word-embedding algorithm, scoring words according to how semantically similar they are to one another.

All that data resulted in a thesaurus-like map of the brain, with words arranged across the hemispheres of the brain, grouped under various headings such as tactile, visual, social or emotional.

The results revealed that while everyone's brain is, of course, different, patients shared broadly similar language maps, with types of word arrayed in a roughly similar manner across the brains of the different participants
UC Berkeley/Nature

Studying the map reveals that at least a third of the brain's cerebral cortex is involved in processing language. The results also revealed that while everyone's brain is, of course, different, patients shared broadly similar language maps, with types of word arrayed in a roughly similar manner across the brains of the different participants.

The knowledge of how the brain organizes words by meaning might actually have practical applications, possibly coming to the aid of people who have difficulty speaking, such as motor neuron disease patients or stroke victims.

Using the knowledge from the study, it's possible that doctors could one day track brain activity of patients that are unable to communicate, using the map to determine what the person is trying to say.

Looking forward, the researchers plan to increase the patient sample size in order to better understand the nuances of how we process words.

"Although the maps are broadly consistent across individuals, there are also substantial individual differences," said senior study author Jack Gallant. "We will need to conduct further studies across a larger, more diverse sample of people before we will be able to map these individual differences in details."

Interested in learning more about the brain map? Well, you're in luck, as its available to view online. There's also a video below for more on the study, and full details of the work are published in the journal Nature.

Source: UC Berkeley

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1 comment
EcoLogical
Analyzing the brain in this way is kind of like analyzing how a computer works by looking at the flashing lights! As a computer engineer, the flashing lights give an indication of activity in various parts of the computer but not how the computer hardware (Logic, Processing, Memory) and various levels of software (BIOS, Operating System, Application Software) actually work. Just imagine trying to reverse engineer the complexity of Artificial Intelligence software by looking at the flashing lights!