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Graspability in disguise: The cognitive and neural differences in processing words representing small and big
Ruifeng Yu1, Hongli Liu1, Yuyang Ran1
1Neurocognitive Laboratory for Linguistics and Semiotics, College of Literature and Journalism, Sichuan University, Chengdu, China.
The brain processes words for big and small objects differently, with graspability, not just size, influencing neural responses and potentially word processing speed.
Area of Science:
- Cognitive Neuroscience
- Psycholinguistics
- Neuroimaging
Background:
- Object size is a fundamental characteristic influencing perception and concept organization.
- Previous research shows distinct brain responses to visual object sizes and behavioral differences in processing words related to object size.
- It's unclear if these size-based neural and behavioral effects extend to symbolic word processing.
Purpose of the Study:
- To investigate cognitive and neural differences in processing words representing small versus big objects.
- To determine if object size or another dimension, like graspability, underlies these differences.
- To explore the temporal dynamics of these processes using electroencephalography (EEG).
Main Methods:
- A lexical decision task (LDT) and a semantic decision task (SDT) were employed.
- Behavioral data (reaction times) and neural responses (EEG) were collected for small and big words.
- Regression representational similarity analysis (RSA) was used to link neural patterns to conceptual dimensions.
Main Results:
- A potential, but not robust, behavioral advantage for processing big words was observed in the LDT, but not the SDT.
- Distinct EEG brain responses differentiated small and big words at 190-250 ms in both tasks, and at 390-520 ms in the SDT.
- RSA indicated that object graspability, rather than object size, explained the observed neural differences.
Conclusions:
- Cognitive and neural processes differ when reading words associated with small versus big objects.
- Object graspability emerges as a key factor influencing the processing of size-related words.
- Findings suggest a flexible, two-stage semantic processing mechanism and offer a new hypothesis for word processing advantages.
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