| Literature DB >> 36072037 |
Zhengyang Qi1,2, Wenbo Luo1,2.
Abstract
Holistic processing (HP) is a marker of perceptual expertise in facial recognition. In the present study, we examined neural responses to the HP of Chinese characters, adopting the composite paradigm. The behavioral results showed that the discrimination of congruent trials was significantly higher than that of incongruent trials, and participants responded faster. Moreover, the congruent trials elicited significantly larger N170 amplitude than the incongruent trials. The HP effect of the N170 component was observed for upright characters, as the configural information of inverted characters and misaligned characters were destroyed. Right-lateralization of processing Chinese characters was observed in the N170 amplitudes and delta-theta band oscillations. The results suggested that Chinese character recognition employed a strategy of HP, and the finding that neural indicators provide a better signal of the strength of HP in Chinese characters than behavioral indicators was also crucial.Entities:
Keywords: Chinese character recognition; composite paradigm; event-related potentials; holistic processing; time-frequency analysis
Year: 2022 PMID: 36072037 PMCID: PMC9443813 DOI: 10.3389/fpsyg.2022.976568
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Illustration of the stimulus pairs in the composite paradigm [(A) for upright Chinese characters, (B) for misaligned Chinese characters, and (C) for inverted Chinese characters] and the schematic representation of the experimental procedure (D).
FIGURE 2(A) Discrimination sensitivity (A’) in the composite task for upright, misaligned, and inverted Chinese characters. (B) Response time on congruent trials and incongruent trials. *p < 0.05.
FIGURE 3(A) Grand average P1 waveform and scalp topographies. (B) Grand average N170 waveform. Average N170 waveforms and scalp topographies elicited by congruent trials and incongruent trials for upright (Ba), misaligned (Bb), and inverted (Bc) Chinese characters, respectively.
FIGURE 4(A) Grand-average time-frequency representations in different experimental conditions. (B) Scalp topographies of time-frequency oscillations in two ROIs for each experimental condition.