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A partially shared magnitude system: Common and specialized neural substrates underlying spatial, numerical, and
Liangzhi Jia1, Zhiwei Zhang1, Chengtao Wang1
1School of Psychology, Guizhou Normal University, Guiyang, China.
Neuroimage
|February 13, 2026
Summary
Magnitude processing relies on a shared brain network, but distinct subsystems handle different types of magnitude arithmetic. Numerical and spatial tasks use visuospatial mechanisms, while temporal tasks use sensorimotor ones.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Magnitude Processing
Background:
- Magnitude (time, space, number) is fundamental to perception and cognition.
- A Theory of Magnitude suggests a shared system for processing these dimensions.
- The exact mechanisms supporting multi-domain magnitude arithmetic remain unclear.
Purpose of the Study:
- Investigate how the brain handles arithmetic operations across numerical, spatial, and temporal domains.
- Determine if the magnitude system is fully shared or partially specialized.
- Identify overlapping and distinct neural substrates for different magnitude arithmetic types.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to study magnitude arithmetic.
- Conjunction analyses identified overlapping brain activations across domains.
- Voxel-wise factorial ANOVA and functional connectivity analyses explored domain-specific differences.
Main Results:
- Shared neural substrates were found across all arithmetic stages.
- Numerical and spatial arithmetic showed greater activation in occipital regions.
- Temporal arithmetic showed stronger activation in the precentral gyrus and cerebellum.
- Functional connectivity differed, with temporal tasks linking to sensorimotor areas and numerical/spatial tasks to visuospatial areas.
Conclusions:
- Arithmetic across magnitude domains utilizes a shared network.
- Numerical and spatial arithmetic depend on visuospatial mechanisms.
- Temporal arithmetic relies on sensorimotor mechanisms, indicating partially specialized subsystems for static vs. dynamic magnitudes.
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