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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Psychophysiologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Psychophysiology
Article . 2025 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Psychophysiology
Article . 2025
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Neural Mechanisms Underlying Intrinsic and Extraneous Cognitive Loads in Numerical Inductive Reasoning

Authors: Feng Xiao; Xiuchen Zheng; Na Xiao; Kun Liang; Yu Luo; Tie Sun; Qingfei Chen;

Neural Mechanisms Underlying Intrinsic and Extraneous Cognitive Loads in Numerical Inductive Reasoning

Abstract

ABSTRACTIntrinsic and extraneous cognitive loads compete for limited cognitive resources during reasoning tasks, potentially impairing reasoning performance. It is still unclear how these two cognitive loads interact to influence inductive reasoning. In this study, the event‐related potentials (ERPs) technique was used to investigate how numerical inductive reasoning was affected by intrinsic and extraneous cognitive loads, which were manipulated through relational complexity (simple vs. hierarchical rules) and the dot memory task (low vs. high executive load), respectively. Participants were required to identify hidden rules from three‐digit sequences and judge whether a probe was congruent with the rules. Behavioral results showed that reasoning performance on probes was affected by intrinsic and extraneous cognitive loads independently. The ERP results locked to the third numbers further revealed that intrinsic cognitive load modulated the N200, LPC, and LNC components, which reflected pattern detection, working memory updating, and relational integration processes, respectively. However, extraneous cognitive load enhanced P200 amplitudes, indicating attentional allocation to task‐irrelevant stimuli. Most importantly, the interaction between intrinsic and extraneous cognitive loads on N400 suggested that semantic integration resources competed when processing hierarchical rules under high extraneous cognitive load. Our findings provide psychophysiological evidence that intrinsic and extraneous cognitive loads affect numerical inductive reasoning through distinct yet interacting neural mechanisms, advancing our understanding of cognitive load theory with implications for educational practices.

Related Organizations
Keywords

Male, Adult, Electroencephalography, Mathematical Concepts, Thinking, Young Adult, Executive Function, Memory, Short-Term, Humans, Female, Attention, Evoked Potentials

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
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