An fMRI image with yellow areas
showing increased activity. Credit: Wikipedia/ CC BY 3.0
(Medical Xpress)—A pair of
researchers with Université Paris-Sud and Université Paris-Saclay has found via
fMRI human brain studies that the neural networks used to process mathematics
are different from those that are used to process language. In their paper
published in Proceedings of the National Academy of Sciences, Marie
Amalric and Stanislas Dehaene describe experiments they conducted with
volunteers willing to undergo fMRI scans while engaging in various tasks and
what they found as a result.
It has long been debated between
scientists in various fields whether the brain works on maths problems using the
same mechanism as it does when working out word problems, especially when the
two intersect such, as in algebra. At issue was the feeling by many
mathematicians, that they were using a different part of their brain when
working out maths problems than when dealing with language
issues. In this new effort, the research pair sought to settle the debate once
and for all by actually watching the brain work as it handled problems of both
types.
The experiments consisted of asking
30 volunteers (15 mathematicians and 15 well read non-mathematicians) to
undergo fMRI scanning while they were asked to respond 'true' or 'false' to
various questions, some of which required mathematical thought.
The researchers report that when both
types of people were asked non-math related questions, their brains responded
in ways that have been previously associated with language processing. But when the questions
required higher level mathematical processing, the parietal, the prefrontal and
inferior temporal regions in the brains of the mathematicians all lit up.
Conversely, because they were not trained in higher level math, the same areas
in the brains of the non-mathematicians lit up only when asked more general
questions about numbers and math formulas. In both groups, regions of the brain
associated with language processing did not light up when the volunteers were
pondering math questions.
The brain scans show, the researchers
claim, that the human brain has different neural
networks for handling math skills than it has for language
processing and furthermore that the brain
uses the same neural network to understand maths
in a basic way as it does when trying to make sense of numbers or space.
Abstract
The origins of human abilities for mathematics are debated: Some theories suggest that they are founded upon evolutionary ancient brain circuits for number and space and others that they are grounded in language competence. To evaluate what brain systems underlie higher mathematics, we scanned professional mathematicians and mathematically naive subjects of equal academic standing as they evaluated the truth of advanced mathematical and non-mathematical statements. In professional mathematicians only, mathematical statements, whether in algebra, analysis, topology or geometry, activated a reproducible set of bilateral frontal, Intraparietal, and ventrolateral temporal regions.
The origins of human abilities for mathematics are debated: Some theories suggest that they are founded upon evolutionary ancient brain circuits for number and space and others that they are grounded in language competence. To evaluate what brain systems underlie higher mathematics, we scanned professional mathematicians and mathematically naive subjects of equal academic standing as they evaluated the truth of advanced mathematical and non-mathematical statements. In professional mathematicians only, mathematical statements, whether in algebra, analysis, topology or geometry, activated a reproducible set of bilateral frontal, Intraparietal, and ventrolateral temporal regions.
Crucially, these activations spared areas related to language
and to general-knowledge semantics. Rather, mathematical judgments were related
to an amplification of brain activity at sites that are activated by numbers
and formulas in nonmathematicians, with a corresponding reduction in nearby
face responses. The evidence suggests that high-level mathematical expertise
and basic number sense share common roots in a nonlinguistic brain circuit.
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