Towards Semantic Brain Mapping Methodology Based on a Multidimensional Markup of Continuous Russian-Language Texts:...

Area of Science:

• Neuroscience
• Linguistics
• Cognitive Science

Background:

• Understanding how the brain processes meaning is crucial for cognitive science.
• Previous research often used thematic contrasts, which may be insufficient for text comprehension.

Purpose of the Study:

• To investigate the neural representation of semantic categories in the human brain.
• To compare brain activation across different thematic domains (nature, technology, self-identity).
• To propose a new model for understanding text comprehension.

Main Methods:

• Functional MRI (fMRI) to measure brain activity (BOLD signal).
• Linguistic annotation of oral Russian texts.
• Analysis of cortical activation during listening to varied thematic content.

Main Results:

• Thematic domain contrasts showed minimal significant differences in brain activation.
• Fifteen distinct clusters, widely distributed across the brain, were identified for semantic categories.
• Deep subcortical structures and right hemisphere lateralization were implicated in processing specific semantic categories.

Conclusions:

• Thematic group contrasts are insufficient for studying text comprehension mechanisms.
• Multidimensional modeling of semantic categories over time is a more effective approach.
• Text understanding involves widespread neural networks, including subcortical regions and right-hemisphere dominance for meaning.