Researchers at the University of Paris XI and the University of Sacramento in Paris have found that brain neural network systems for processing mathematical operations and processing languages ​​are different through human brain functional magnetic resonance imaging (fMRI) studies. Related papers are published in the Proceedings of the National Academy of Sciences. Scientists in various fields have long debated the brain's ability to deal with mathematical problems and find out whether words use the same mechanism, especially when the two intersect with each other more intensely, such as algebra. The key issue is that many mathematicians feel that they use different parts of the brain to answer mathematical questions, but not when dealing with language learning problems. In this new study, the researchers observed how the brain works when dealing with two types of problems in order to resolve the debate. The experiment investigated 30 volunteers (15 mathematicians and 15 non-mathematicians with better reading ability) who were asked to answer “true†or “false†to respond to various questions when receiving fMRI scans. Some of these questions need to be considered mathematically. Researchers report that when these two types of people are asked non-mathematically related questions, the way their brain responds has been pre-processed by the language. But when the problem requires a higher level of mathematical processing, the top, frontal, and underarm areas of the mathematician's brain are illuminated. Conversely, because non-mathematicians do not have a higher level of math training, the same area of ​​their brain only shines when asked about general questions about numbers and mathematical formulas. In both groups, the brain regions associated with language processing were not illuminated when they were thinking about math problems. Researchers claim that brain scans show that different neural networks work when the human brain processes mathematical operations in terms of language processing. In addition, the brain uses the same neural network to understand numbers or spaces in a basic way.
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PNAS: Different neural network systems for mathematical operations and language in the brain
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