The domain-general and domain-specific role of the semantic neural network in mathematical processing

The role of the visuospatial network in mathematical processing has been established, but the role of the semantic network in mathematical processing remains poorly understood. The current study compared different types of inductive reasoning with the functional magnetic resonance imaging (fMRI) technique to investigate the role of the semantic network in mathematical processing and whether the role is domain-general or domain-specific. 32 undergraduate students were recruited to complete tasks involving numerical, geometrical, situational, and verbal inductive reasoning, as well as arithmetical computation. The intensity and pattern analysis of brain activation found that all types of inductive reasoning elicited greater and similar activation than arithmetical computation in the semantic network, mainly including the left middle temporal gyrus, inferior frontal gyrus, angular gyrus, and dorsomedial prefrontal cortex. Furthermore, the intensity and patterns analysis of functional connectivity found that numerical inductive reasoning elicited stronger and dissimilar connectivity between the semantic and visuospatial networks than other types of inductive reasoning and arithmetical computation. These findings suggest that the semantic network not only plays a domain-general role but also exhibits domain-specific interactions with the visuospatial network in mathematical processing.

Authors

Institutions

Publication Details

Journal
NeuroImage
Published
2024-12-20
DOI
https://doi.org/10.1016/j.neuroimage.2024.120985
Primary Topic
Cognitive and developmental aspects of mathematical skills
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The domain-general and domain-specific role of the semantic neural network in mathematical processing

Mengyi Li, Xinlin Zhou
NeuroImage
Cognitive and developmental aspects of mathematical skills
article

The domain-general and domain-specific role of the semantic neural network in mathematical processing

Mengyi Li, Xinlin Zhou
article en

Abstract

The role of the visuospatial network in mathematical processing has been established, but the role of the semantic network in mathematical processing remains poorly understood. The current study compared different types of inductive reasoning with the functional magnetic resonance imaging (fMRI) technique to investigate the role of the semantic network in mathematical processing and whether the role is domain-general or domain-specific. 32 undergraduate students were recruited to complete tasks involving numerical, geometrical, situational, and verbal inductive reasoning, as well as arithmetical computation. The intensity and pattern analysis of brain activation found that all types of inductive reasoning elicited greater and similar activation than arithmetical computation in the semantic network, mainly including the left middle temporal gyrus, inferior frontal gyrus, angular gyrus, and dorsomedial prefrontal cortex. Furthermore, the intensity and patterns analysis of functional connectivity found that numerical inductive reasoning elicited stronger and dissimilar connectivity between the semantic and visuospatial networks than other types of inductive reasoning and arithmetical computation. These findings suggest that the semantic network not only plays a domain-general role but also exhibits domain-specific interactions with the visuospatial network in mathematical processing.

NeuroImageVol. 305
McGovern Institute for Brain Research (US), Tianjin Normal University (CN), Beijing Normal University (CN), Chinese Institute for Brain Research (CN)
Openalex Percentile: Top 76%
Cognitive and developmental aspects of mathematical skills
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The domain-general and domain-specific role of the semantic neural network in mathematical processing — Mengyi Li, Xinlin Zhou · NeuroImage (2024) | TGRS Research Map | TGRS