Neural Correlates of Emotion Processing in Word Detection Task

Zhao, Wenshuang; Liang, Chen; Zhou, Chunxia; Luo, Wenbo

doi:10.3389/fpsyg.2018.00832

Cited by 25 publications

(11 citation statements)

References 50 publications

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“…However, the processing of words is relatively fast and automatic (for a review, see [ 93 ]). Emotional words also show evidence of this automatic processing, even for emotional words presented at extremely short (< 200 ms) intervals [ 94 , 95 ]. In line with these expectations, our post hoc analysis found that RTs on the affective PVT were highly related to RTs on the standard PVT but slower overall, and that accounting for performance on the standard PVT accounted for much but not all of the variance associated with performance on the affective PVT.…”

Section: Discussionmentioning

confidence: 99%

Total sleep deprivation reduces top-down regulation of emotion without altering bottom-up affective processing

et al. 2021

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Sleep loss is reported to influence affective processing, causing changes in overall mood and altering emotion regulation. These aspects of affective processing are seldom investigated together, making it difficult to determine whether total sleep deprivation has a global effect on how affective stimuli and emotions are processed, or whether specific components of affective processing are affected selectively. Sixty healthy adults were recruited for an in-laboratory study and, after a monitored night of sleep and laboratory acclimation, randomly assigned to either a total sleep deprivation condition (n = 40) or a rested control condition (n = 20). Measurements of mood, vigilant attention to affective stimuli, affective working memory, affective categorization, and emotion regulation were taken for both groups. With one exception, measures of interest were administered twice: once at baseline and again 24 hours later, after the sleep deprived group had spent a night awake (working memory was assessed only after total sleep deprivation). Sleep deprived individuals experienced an overall reduction in positive affect with no significant change in negative affect. Despite the substantial decline in positive affect, there was no evidence that processing affectively valenced information was biased under total sleep deprivation. Sleep deprived subjects did not rate affective stimuli differently from rested subjects, nor did they show sleep deprivation-specific effects of affect type on vigilant attention, working memory, and categorization tasks. However, sleep deprived subjects showed less effective regulation of negative emotion. Overall, we found no evidence that total sleep deprivation biased the processing of affective stimuli in general. By contrast, total sleep deprivation appeared to reduce controlled processing required for emotion regulation.

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Section: Discussionmentioning

confidence: 99%

Total sleep deprivation reduces top-down regulation of emotion without altering bottom-up affective processing

et al. 2021

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“…Relatedly, some emotional word studies found more negative EPN for emotional words in comparison with neutral words (e.g., Herbert, Junghofer, & Kissler, 2008;Palazova, Mantwill, Sommer, & Schacht, 2011;Scott, O'Donnell, Leuthold, & Sereno, 2009). In a number of studies, there has been an increase in LPC amplitude in response to emotional words (e.g., Fischler & Bradley, 2006;Yao et al, 2016;Zhao, Chen, Zhou, & Luo, 2018). In terms of N100 in emotional word studies, Perez-Edgar and Fox (2003) found that the amplitude of N1 (N100) was smaller for negative words in comparison with positive and control words.…”

Section: Introductionmentioning

confidence: 98%

Sensory Emotion in Words: Evidence From an Event-related Potential (ERP) Study in Light of the Emotioncy Model

Farani

Pishghadam

Khodaverdi

2023

BCN

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Introduction: Delving into the prominent role of emotions and senses in the realm of language is not something new in the field. Thereupon, the newly developed notion of emotioncy has been introduced to the foreign language education to underscore the role of sense-induced emotions in the process of language learning and teaching. Methods: The present study implemented ERPs to provide evidence to the significance of employing emosensory instructional strategies in teaching vocabulary items. Hence, eighteen female participants were randomly instructed six English nouns toward which they had no prior knowledge and received no instruction for the other three words. Then, while the participants’ EEG was being recorded, they took a sentence comprehension task. Results: Behavioral results demonstrated significant differences among the avolved, the exvolved, and the involved nouns. However, ERP analyses of target words indicated the modulations of N100 and N480 components while no significant effect was observed at P200. Further, the analysis of sensory N100 for the critical words revealed no significant effect. Conclusion: In conclusion, the emotioncy-based language instruction could affect neural correlates of emotional word comprehension from the early stages of EEG recording. The findings of this study can shed light on the importance of including senses and emotions in language teaching, learning, and testing, along with materials development.

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“…BCI-based object detection techniques have developed rapidly and achieved significant improvements [4][5][6]. An important milestone is the rapid serial visual presentation (RSVP) paradigm [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Semantic image sorting method for RSVP presentation

Wu,

Li,

Chu

et al. 2024

J. Neural Eng.

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The rapid serial visual presentation (RSVP) paradigm, which is based on the electroencephalogram (EEG) technology, is an effective approach for object detection. It aims to detect the event-related potentials (ERP) components evoked by target images for rapid identification. However, the object detection performance within this paradigm is affected by the visual disparity between adjacent images in a sequence. Currently, there is no objective metric to quantify this visual difference. Consequently, a reliable image sorting method is required to ensure the generation of a smooth sequence for effective presentation. In this paper, we propose a novel semantic image sorting method for sorting RSVP sequences, which aims at generating sequences that are perceptually smoother in terms of the human visual experience. We conducted a comparative analysis between our method and two existing methods for generating RSVP sequences using both qualitative and quantitative assessments. A qualitative evaluation revealed that the sequences generated by our method were smoother in subjective vision and were more effective in evoking stronger ERP components than those generated by the other two methods. Quantitatively, our method generated semantically smoother sequences than the other two methods. Furthermore, we employed four advanced approaches to classify single-trial EEG signals evoked by each of the three methods. The classification results of the EEG signals evoked by our method were superior to those of the other two methods. In summary, the results indicate that the proposed method can significantly enhance the object detection performance in RSVP-based sequences.

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Neural Correlates of Emotion Processing in Word Detection Task

Cited by 25 publications

References 50 publications

Total sleep deprivation reduces top-down regulation of emotion without altering bottom-up affective processing

Total sleep deprivation reduces top-down regulation of emotion without altering bottom-up affective processing

Sensory Emotion in Words: Evidence From an Event-related Potential (ERP) Study in Light of the Emotioncy Model

Semantic image sorting method for RSVP presentation

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