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ERP evidence for temporal differences between cross-modal and cross-domain analogical reasoning
Yanqun Zhao1, Jiajia Guo1, Yangzhuo Li1
1School of Psychology, Shanghai Normal University, Shanghai 200234, China.
Behavioural Brain Research
|May 30, 2024
Summary
This study reveals distinct cognitive processes for cross-domain and cross-modal analogical reasoning. While behavioral performance was similar, electroencephalography (EEG) showed unique brain activity patterns for each type of reasoning.
Area of Science:
- Cognitive Neuroscience
- Psychology
- Neuroimaging
Background:
- Individuals can perform cross-domain analogies and cross-modal reasoning.
- The cognitive and neural mechanisms underlying these reasoning types are not fully understood.
Purpose of the Study:
- To investigate the behavioral and neurophysiological differences between within-domain, cross-domain, and cross-modal analogical reasoning.
- To elucidate the cognitive processes involved in accessing and processing information during analogical reasoning across different domains and modalities.
Main Methods:
- Employed a multi-to-multi learning-test paradigm combined with a four-term analogy task.
- Recorded behavioral data (reaction time, accuracy) and electroencephalography (EEG) from 30 participants.
- Compared performance and neural responses across within-domain, cross-domain, and cross-modal reasoning conditions.
Main Results:
- Behaviorally, cross-domain and cross-modal reasoning showed similar accuracy, both lower than within-domain reasoning.
- EEG revealed a larger P2 amplitude in the cross-modal condition, suggesting difficulties in accessing cross-modal information.
- A larger N400 amplitude was observed in the cross-domain condition, indicating more challenging semantic processing.
Conclusions:
- The study provides the first evidence differentiating the neural underpinnings of cross-modal and cross-domain analogical reasoning.
- P2 amplitude reflects challenges in cross-modal information access, while N400 reflects semantic processing load in cross-domain reasoning.
- Findings enhance understanding of the cognitive architecture supporting analogical reasoning across diverse information types.
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