| Literature DB >> 35448005 |
Lijuan Chen1, Yiyi Lu2, Xiaodong Xu2.
Abstract
Temporal connectives play a crucial role in marking the sequence of events during language comprehension. Although existing studies have shown that sentence comprehension can be modulated by temporal connectives, they have mainly focused on languages with grammatical tense such as English. It thus remains unclear how temporal information is processed in tenseless languages. The present study used event-related potentials (ERPs) to examine how world knowledge is retrieved and integrated in sentences linked by zhiqian (before) and zhihou (after) in Mandarin Chinese (e.g., After/Before going to the countryside, Grandpa went to the city because the air there was fresh and pure). The critical words (e.g., fresh) were either congruent or incongruent with world knowledge. Relative to the after-congruent sentences, the after-incongruent sentences evoked a P600 on critical words and a negativity on sentence-final words, whereas relative to before-congruent sentences, before-incongruent sentences showed no significant difference on critical words but a sustained negativity on sentence-final words. Additionally, before-congruent sentences elicited a larger sustained positivity (P600) than after-congruent sentences. The results suggest that before is more difficult to process than after in Mandarin Chinese, supporting the iconicity account of temporal relations.Entities:
Keywords: ERPs; after; before; temporal connectives; world knowledge
Year: 2022 PMID: 35448005 PMCID: PMC9033067 DOI: 10.3390/brainsci12040474
Source DB: PubMed Journal: Brain Sci ISSN: 2076-3425
Before and After in semantic accounts.
| Semantic Accounts | |||
|---|---|---|---|
| Veridicality | Iconicity | Polarity | |
| p | non-veridical | iconic | positive |
| q | veridical | non-iconic | negative |
| non-veridical | non-iconic | positive | |
| veridical | iconic | negative | |
| q | non-veridical | non-iconic | positive |
| p | veridical | iconic | negative |
Note: Veridicality refers to the degree to which an experience, perception, or interpretation accurately represents reality.
Experimental conditions and example sentences with literal translations and glosses.
| Conditions | Examples |
|---|---|
| (4a) 爷爷/去/城里/ | |
| (4b) 爷爷/去/乡下/ | |
| (4c) 爷爷/去/城里/ | |
| (4d) 爷爷/去/乡下/ |
Means and SD (standard deviations) of the experimental items.
| Cloze Probability | Acceptability | |||
|---|---|---|---|---|
| Mean | SD | Mean | SD | |
|
| 0.487 | 0.26 | 5.35 | 0.71 |
|
| 0.131 | 0.19 | 2.28 | 0.74 |
|
| 0.497 | 0.27 | 5.13 | 0.83 |
|
| 0.123 | 0.01 | 2.27 | 0.73 |
Mean percentage of the closer referents chosen for the locative pronoun nali for each condition in forced choice task.
| Truncated Context | Whole Context | |||
|---|---|---|---|---|
| Mean | SD | Mean | SD | |
|
| 85.7 | 0.18 | 87.0 | 0.09 |
|
| 83.2 | 0.17 | 36.2 | 0.14 |
|
| 90.5 | 0.12 | 97.4 | 0.10 |
|
| 81.7 | 0.15 | 34.9 | 0.14 |
Figure 1ERP results to the critical words in each of the four conditions at 9 representative electrodes are shown in the graph. Scalp distributions of the relevant difference effects (in the 300–800 ms time window) are given below the ERP graph.
Figure 2ERP responses to sentence-final words in each of the four conditions at 9 representative electrodes are shown in the graph. Scalp distributions of the relevant difference effects (in the 300–800 ms time window) are given below the ERP graph.
The results of ANOVAs on mean amplitude at the critical words in the 300–800 ms time window.
| Region | Source |
|
| Significant |
|
|---|---|---|---|---|---|
| Midline | connective | 1, 27 | 0.971 | 0.333 | 0.035 |
| congruency | 1, 27 | 1.199 | 0.283 | 0.043 | |
| connective × congruency | 1, 27 | 5.073 | 0.033 * | 0.158 | |
| connective × congruency × ACP | 2, 54 | 0.444 | 0.644 | 0.016 | |
| Lateral | connective type | 1, 27 | 3.141 | 0.088 | 0.104 |
| congruency | 1, 27 | 1.055 | 0.313 | 0.038 | |
| connective × congruency | 1, 27 | 9.399 | 0.005 * | 0.258 | |
| connective × congruency × ACP × H | 2, 54 | 0.810 | 0.418 | 0.029 |
: ACP = anterior/central/posterior areas; H = left/right hemisphere; Connective = connective type (before vs. after). * indicates predictor is significant at p < 0.05 or better.
The results of ANOVAs on mean amplitude at the sentence-final words in the 300–800 ms time window.
| Region | Source |
|
| Significant |
|
|---|---|---|---|---|---|
| Midline | connective | 1, 27 | 0.499 | 0.486 | 0.018 |
| congruency | 1, 27 | 2.689 | 0.113 | 0.091 | |
| connective × congruency | 1, 27 | 0.009 | 0.923 | 0.000 | |
| connective × congruency × ACP | 2, 54 | 0.041 | 0.960 | 0.002 | |
| Lateral | connective type | 1, 27 | 0.101 | 0.753 | 0.004 |
| congruency | 1, 27 | 6.014 | 0.021 * | 0.182 | |
| connective × congruency | 1, 27 | 0.520 | 0.477 | 0.019 | |
| congruency × H | 1, 27 | 5.004 | 0.034 * | 0.156 | |
| connective × congruency × ACP × H | 2, 54 | 2.47 | 0.108 | 0.084 |
: ACP = anterior/central/posterior areas; H = left/right hemisphere; Connective = connective type (before vs. after). * indicates predictor is significant at p < 0.05 or better.
Figure 3The bar plots for the average P600 amplitude (300–800 ms) of the critical words in each experimental condition in lateral analysis (left) and midline analysis (right).
Figure 4Correlation of working memory score and ERP voltage difference (at the connectives, 3000–4500 ms) between before and after sentences over the left posterior electrodes.