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Logic Doesn't Need Language, MIT Researchers Show

Дослідження MIT доводять, що логіка може існувати поза мовними обмеженнями. Photo: НВ — Техно

What the Study Found

The relationship between language and thought has long been a central question in cognitive science. A team led by Evelina Fedorenko, an associate professor at MIT's McGovern Institute for Brain Research, has published evidence in PNAS that reasoning and abstract thinking can operate without input from the brain's language networks. The conclusion comes from both behavioral tests with aphasia patients and MRI observations of healthy volunteers.

How the Research Was Conducted

People with severe aphasia who had lost the ability to understand or produce language after a stroke took part in the research. They were given logic puzzles based on geometric patterns and number sequences. Even though their language centers were damaged, these patients solved complex tasks as well as a healthy control group did, and they communicated the rules they discovered using gestures or drawings.

In a separate part of the study, healthy adults had MRI scans while doing inductive and deductive tasks. The scans showed the brain's language system remaining inactive while participants detected hidden rules or assessed logical conclusions. These tasks engaged what is known as the multiple demand network. The researchers say that loss of speech due to aphasia, stuttering, or other disorders does not mean a person's intelligence is lower.

The paper carries the DOI 10.1073/pnas.2520095123 and offers evidence on how thought and language are organized in the human brain.

Implications

These findings may significantly affect how cognitive processes are understood in people with language disorders, since they show that logical thought can exist independently of language. This could open up new possibilities in rehabilitating patients with aphasia and other language impairments, and it may influence methods for teaching and developing intellectual abilities in both children and adults. The study also highlights the importance of understanding the differences between human thought and artificial intelligence systems, which rely on language structures to process information.

These insights into the relationship between language and thought are particularly relevant when considering how our brains process various forms of communication. For instance, a recent study on fictional languages revealed that the brain responds similarly to both Elvish and Klingon, suggesting that linguistic structures may not be as critical for cognitive function as previously thought. This emphasizes the complexity of how we understand and process information beyond traditional language frameworks.