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Updated: Aug 30, 2025

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
A shared numerical magnitude representation evidenced by the distance effect in frequency-tagging EEG
Cathy Marlair1, Virginie Crollen2, Aliette Lochy2,3
1Institute of Psychology (IPSY) and Institute of Neuroscience (IoNS), Université Catholique de Louvain, Place Cardinal Mercier 10, 1348, Louvain-la-Neuve, Belgium. cathy.marlair@uclouvain.be.
Humans can process numbers across different formats, like digits or words. This study reveals a shared brain mechanism for understanding numerical magnitude, regardless of how the number is presented.
Area of Science:
- Cognitive Neuroscience
- Neuroscience
- Psychology
Background:
- Humans can abstract numerical information from diverse codes and contexts.
- Debate exists on whether magnitude information access uses common or distinct brain representations.
Purpose of the Study:
- To investigate if numerical magnitude processing relies on shared neural representations across different number codes.
- To identify a reliable neural marker for magnitude representation shared across various numerical formats.
Main Methods:
- Electrophysiological responses were recorded in humans.
- Stimuli included rapid streams of numbers (6 Hz) in varying codes: Arabic digits, number words, dot patterns, and finger configurations.
- Deviant numerosity variations (every five items) were presented to elicit discrimination responses.
Main Results:
- Clear discrimination responses (1.2 Hz) over parieto-occipital electrodes indicated abstraction and generalization of numerical information across codes.
- Larger right-hemispheric responses for distant numerical deviations (e.g., base "2", deviant "8") compared to close deviations (e.g., base "2", deviant "3") suggest magnitude processing.
- Neural responses correlated with behavioral performance on an independent numerical comparison task, supporting the distance effect.
Conclusions:
- A shared neural representation for numerical magnitude exists across different codes (digits, words, patterns, fingers).
- The study provides an unambiguous neural marker for this shared magnitude representation.
- Findings support a generalized system for numerical magnitude processing in the human brain.
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