The cortical representation of simple mathematical expressions

Area of Science:

• Neuroscience
• Cognitive Science
• Mathematics

Background:

• Mathematical notation visually represents complex functional relations.
• The cognitive basis for mathematical expression comprehension is debated: language-dependent or independent.

Purpose of the Study:

• To investigate whether mathematical syntax processing relies on language-specific or visuo-spatial neural networks.
• To differentiate between language-based and independent processing of mathematical expressions.

Main Methods:

• Functional magnetic resonance imaging (fMRI) and magneto-encephalography (MEG) were used to scan mathematically trained adults.
• Participants viewed strings varying in complexity, from random characters to nested mathematical expressions.
• Behavioral and brain activation data were analyzed for syntactic effects.

Main Results:

• Syntactic effects were evident in both behavior and brain activation patterns.
• Primary neural nodes for mathematical syntax included bilateral occipito-temporal and right parietal/precentral cortices.
• Rapid parsing (<180 ms) by posterior visual regions was estimated via MEG.
• Increased activation in linguistic regions (left inferior frontal gyrus, posterior superior temporal sulcus) was minimal with complexity.

Conclusions:

• Mathematical syntax processing in trained adults is primarily handled by visuo-spatial networks.
• While historically linked to language, mathematical syntax appears 'compiled' into distinct neural areas.
• This suggests a neural specialization for mathematical processing independent of core language functions.