Emotional valence modulates arithmetic strategy execution in priming paradigm: an event-related potential study

How negative emotions influence arithmetic problem-solving processes: An ERP study

We investigated the effects of negative emotions on arithmetic performance using ERPs. Participants were asked to verify complex multiplication problems that were either true (e.g., 3 × 23 = 69) or false (e.g., 5 × 98 = 485). Half the problems were five problems (e.g., 5 × 94 = 470) and half were non-five problems (e.g., 8 × 63 = 504). False five problems violated arithmetic rules (i.e., the five rule, e.g., 5 × 17 = 87, the parity-rule, e.g., 86 × 5 = 435, both the five- and parity-rules, e.g., 5 × 42 = 411) or no arithmetic rules (e.g., 13 × 5 = 45). Problems were displayed superimposed on emotionally neutral or negative pictures. Behavioral results showed that negative emotions (a) did not affect participants' performance on true five and non-five problems, (b) influenced arithmetic performance on false five problems, and (c) impaired performance on problems that violated both the five- and parity-rules but improved performance on false five problems violating no arithmetic rules. Electrophysiological data revealed that negative emotions led to (a) earlier P1 peak when participants verified true, non-five problems, (b) lower P300 and P600 amplitudes in central brain regions when participants verified false five problems that violated no-rule, (c) earlier N2 peak latencies in central brain regions and larger LPC amplitudes in right parietal regions while participants verified parity-rule violation problems, and (d) earlier N2 peak latencies in central brain regions and later N2 peak latencies in the right prefrontal brain regions while participants verified false, five problems violating both the five- and parity-rules. These findings demonstrate that negative emotions significantly alter key stages of arithmetic problem-solving by modulating neural activity related to encoding, detection of rule violations, and strategic execution, as evidenced by changes in the amplitude and latency of ERP components such as P1, N2, P300, P600, and LPC.

How do positive and negative emotions influence children's and adolescents' arithmetic performance?

This study is the first to investigate how negative and positive emotional states influence children's arithmetic performance and age-related differences therein. Children aged 8-14 (n = 149) were asked to verify true/false, one-digit addition problems (i.e., 8 + 2 = 10. True? False?) which were superimposed on emotionally negative, positive, or neutral pictures. The main results showed that (a) both positive and negative emotions impaired children's arithmetic performance, (b) deleterious effects of negative emotions were larger than those of positive emotions, (c) effects of emotions were modulated by the type of (true/false) problems, (d) effects of emotions on current trials were influenced by emotions on immediately preceding trials, and (e) effects of emotions as well as their trial-to-trial modulations changed with children's age. These findings have important implications for further our understanding of effects of emotions in children's arithmetic and how these effects change as children grow older.

Creative Cognitive Reappraisal Promotes Estimation Strategy Execution in Individuals with Trait Anxiety

Objectives: This study aimed to investigate the impact of the creative cognitive reappraisal on the estimation strategies execution in college students with trait anxiety. Methods: Using the Trait Anxiety Scale, 47 participants with high (HTA) and low trait anxiety (LTA) were selected from a total of 803 college students. These participants then completed a two-digit multiplication estimation task after using cognitive reappraisal to regulate negative emotions. Results: The results showed that for individuals with low trait anxiety, both standard cognitive reappraisal and creative cognitive reappraisal effectively improved their negative emotional experiences, with creative cognitive reappraisal demonstrating a superior regulatory effect. For individuals with high trait anxiety, creative cognitive reappraisal was effective in regulating negative emotions, whereas the effect of standard cognitive reappraisal on emotion regulation was not significant. Conclusions: Both standard cognitive reappraisal and creative cognitive reappraisal can enhance the speed of estimation strategy execution in college students with trait anxiety after regulating negative emotions, with creative cognitive reappraisal showing a more pronounced facilitative effect.

Cognitive Mechanisms Underlying the Influence of Facial Information Processing on Estimation Performance

This study aimed to investigate the roles of facial information processing and math anxiety in estimation performance. Across three experiments, participants completed a two-digit multiplication estimation task under the conditions of emotion judgment (Experiment 1), identity judgment (Experiment 2), and combined emotion and identity judgment (Experiment 3). In the estimation task, participants used either the down-up or up-down problem to select approximate answers. In Experiment 1, we found that negative emotions impair estimation performance, while positive and consistent emotions have a facilitating effect on estimation efficiency. In Experiment 2, we found that emotion and identity consistency interact with each other, and negative emotions actually promote estimation efficiency when identity is consistent. In Experiment 3, we found that emotion, identity consistency, and emotional consistency have complex interactions on estimation performance. Moreover, in most face-processing conditions, participants' estimation performance is not affected by their level of math anxiety. However, in a small number of cases, mean proportions under happy and fearful conditions are negatively correlated with math anxiety.

Language switching is modulated by emotion priming: evidence from behavioral and event-related potentials study

Introduction

Bilinguals often switch between different languages to effectively communicate their ideas. The variation in the increase in reaction times and error rates is termed as the language switch cost. Generally, bilingual language-switching costs demonstrate asymmetry, with a greater cost associated with transitioning from the weaker L2 to the dominant L1 than in the reverse scenario. Recent studies have demonstrated that language switching can be modulated under certain conditions. However, the effect of emotion on language-switching performance is unclear. Therefore, this study aimed to investigate the impact of emotions on bilingual language switching and how this impact manifests across different time windows.

Methods

This study explored the influence of emotion on language switching between Chinese (L1) and English (L2) using a dual task involving emotion priming and word-picture matching, with concurrent measurement of event-related potentials.

Results

The behavioral results indicated that a happy mood improved the accuracy and efficiency of L1 switching, while a fearful mood enhanced the efficiency of L2 switching. Electrophysiological data revealed significant interactions among emotion, language, and task in the P1, N2, and N400 stages. Specifically, a happy mood was associated with an increased P1 amplitude during L1 switching, larger N2 amplitudes during L1 repetition, L1 switching, and L2 repetition, as well as greater N400 amplitudes during L1 repetition, L1 switching, and L2 repetition, along with a larger N600 during L2 repetition. Conversely, a fearful mood exhibited a significantly larger N400 during L2 switching and a larger N600 during L2 switching.

Discussion

The study findings suggest that positive emotions were beneficial for L1 switching in the early stages of visual attention allocation, conflict processing, and lexical-semantic processing. In contrast, negative emotions exhibited a more significant advantage for L2 switching in lexical-semantic processing and deeper levels of semantic processing. This study provides the first electrophysiological evidence for the impact of emotion priming on language-switching performance.

Abnormal ambiguous facial expression recognition in Chinese patients with schizophrenia

BACKGROUND

Patients with schizophrenia (SCZ) exhibit difficulties deficits in recognizing facial expressions with unambiguous valence. However, only a limited number of studies have examined how these patients fare in interpreting facial expressions with ambiguous valence (for example, surprise). Thus, we aimed to explore the influence of emotional background information on the recognition of ambiguous facial expressions in SCZ.

METHODS

A 3 (emotion: negative, neutral, and positive) × 2 (group: healthy controls and SCZ) experimental design was adopted in the present study. The experimental materials consisted of 36 images of negative emotions, 36 images of neutral emotions, 36 images of positive emotions, and 36 images of surprised facial expressions. In each trial, a briefly presented surprised face was preceded by an affective image. Participants (36 SCZ and 36 healthy controls (HC)) were required to rate their emotional experience induced by the surprised facial expressions. Participants' emotional experience was measured using the 9-point rating scale. The experimental data have been analyzed by conducting analyses of variances (ANOVAs) and correlation analysis.

RESULTS

First, the SCZ group reported a more positive emotional experience under the positive cued condition compared to the negative cued condition. Meanwhile, the HC group reported the strongest positive emotional experience in the positive cued condition, a moderate experience in the neutral cued condition, and the weakest in the negative cue condition. Second, the SCZ (vs. HC) group showed longer reaction times (RTs) for recognizing surprised facial expressions. The severity of schizophrenia symptoms in the SCZ group was negatively correlated with their rating scores for emotional experience under neutral and positive cued condition.

CONCLUSIONS

Recognition of surprised facial expressions was influenced by background information in both SCZ and HC, and the negative symptoms in SCZ. The present study indicates that the role of background information should be fully considered when examining the ability of SCZ to recognize ambiguous facial expressions.

Estimation Strategy Utilization Is Modulated by Implicit Emotion Regulation: Evidence from Behavioral and Event-Related Potentials Studies

A large number of studies have studied the influence of emotional experience on an individual's estimation performance, but the influence of implicit emotion regulation is still unknown. Participants were asked to complete the following tasks in order: idiom matching task, multiplication computational estimation task (MCE task), gender judgment task (GJ task), and emotional experience intensity assessment task. The words matching task was adopted to achieve the purpose of implicit emotion regulation (implicit reappraisal and implicit suppression). Behavioral results showed that implicit reappraisal and implicit suppression equally contributed to improving an individual's estimation speed (but not ACC (accuracy)). The MCE task related ERP (event-related potential) results showed that the influence of implicit emotion regulation on estimation consisted of two phases. In the first phase (encoding phase), implicit reappraisal both enhanced (larger P1 amplitudes) and weakened (smaller N170 amplitudes) an individual's encoding sensitivity, while implicit suppression enhanced an individual's encoding sensitivity (larger P1 amplitudes). In the second phase (estimation strategies retrieval phase), implicit reappraisal (but not implicit suppression) cost more attention resources (larger LPC2 and LPC3 amplitudes). The present study suggested that both implicit reappraisal and implicit suppression contributed to improving an individual's estimation performance, and the regulation effect of implicit suppression (vs. implicit reappraisal) was better.

Emotions and arithmetic in children

How do negative emotions influence arithmetic performance and how such influence changes with age during childhood? To address these issues, I used a within-trial emotion induction procedure while children solve arithmetic problems. More specifically, 8-15 year-old participants (N = 207) solved arithmetic problems (8 + 4 = 13. True? False?) that were displayed superimposed on emotionally negative or neutral pictures. The main results showed (a) poorer performance in emotionally negative conditions in all age groups, (b) larger deleterious effects of negative emotions on harder problems, (c) decreased effects of emotions as children grow older, and (d) sequential carry-over effects of emotions in all age groups such that larger decreased performance under emotion condition relative to neutral condition occurred on current trials immediately preceded by emotional trials. These findings have important implications for furthering our understanding of how emotions influence arithmetic performance in children and how this influence changes during childhood.

Influence of emotional stimuli on metacognition: A study in arithmetic

We investigate the role of negative emotional stimuli on direct and indirect metacognition, and document age-related differences in this role during adulthood. Participants were presented with negative or neutral pictures while asked to select which of two available strategies was the better strategy to find approximate estimates of two-digit multiplication problems. Following each strategy selection, participants provided either a direct (confidence judgment; Expt. 1) or an indirect (opt-out judgment; Expt. 2) evaluation of their strategy choice. Negative emotional stimuli decreased metacognitive accuracy for arithmetic strategy selection, but only when indirect metacognitive measures were collected. No differences were found when direct metacognitive judgments were requested. The effects of emotional stimuli on indirect metacognition and lack of effects on direct metacognition were found in both young and older adults. These findings have important implications for our understanding of the mechanisms underlying the effects of emotion on metacognition in young and older adults.

The Influence of Emotion Regulation on Estimation Strategy Execution in Individuals with Trait Anxiety

Previous studies have shown that some negative emotions hinder estimation strategy execution. However, these studies rarely investigate the influence of negative emotions on the estimation strategy execution in individuals with trait anxiety. The present study examines the relationship between negative emotions and trait anxiety in individuals’ estimation strategy execution. Moreover, it looks into the influence of different emotion regulation strategies on their estimation strategy execution. In October 2010, 803 college students were evaluated using the Trait Anxiety Scale. From these participants, individuals with high and low trait anxiety were selected to complete the double-digit multiplication estimation task. The results showed that the estimation strategy’s execution speed in individuals with high trait anxiety was slower than those with low trait anxiety under negative emotions (t (113) = −2.269, p = 0.025, d = 0.427). Both expression inhibition and cognitive reappraisal could significantly improve the execution speed of the estimation strategy in low trait anxiety (p < 0.001). For individuals with high trait anxiety, cognitive reappraisal regulating negative emotions can promote the estimation strategy’s execution speed (p = 0.031). However, the use of expression inhibition has no significant effect on estimation strategy execution (p = 0.101). In summary, the present study revealed that different emotion regulation strategies moderated the arithmetic strategy execution of individuals with trait anxiety, and cognitive reappraisal had a better effect in individuals with high trait anxiety.

Estimation Strategy Selection Is Modulated by Snapshot Emotional Priming, but Not Math Anxiety

The present study explored the role of snapshot emotional priming and math anxiety in estimation strategy selection. Participants were asked to complete a two-digit multiplication estimation task (e.g., 34 × 67) under explicit (Experiment 1) and implicit (Experiment 2) snapshot emotional priming conditions by freely choosing to use DU (down-up, e.g., doing 30 × 70 = 2100 for 34 × 67) or UD (up-down, e.g., doing 40 × 60 = 2400 for 34 × 67) strategies to arrive as close as possible to the correct answer. In Experiment 1, individuals' estimation performance was positively influenced by explicit happy priming (shorter RT (reaction time)), while not affected by explicit fear priming. In Experiment 2, individuals' estimation ACC (accuracy) when using the UD strategy was negatively affected by both implicit happy and fear priming, but their RT when using DU and UD strategies was positively impacted by implicit happy priming. In both experiments, the correlations between math anxiety and estimation performance (ACC, RT, and strategy selection adaptivity) was not significant. The present study suggests that fear priming was not always detrimental to individuals' estimation performance, and happy priming did not always universally improve individuals' estimation performance. Additionally, estimation strategy selection was not influenced by math anxiety.

Implicit emotion regulation improves arithmetic performance: An ERP study

Available evidence suggests that emotions influence arithmetic, and explicit emotion regulation modulates the effect of anxiety on arithmetic performance. However, neural mechanisms by which implicit emotion regulation affects these phenomena remain unclear, particularly under distinct affective priming contexts. Twenty-two college students were required to perform multiple tasks in sequence, including an idioms matching task, a multiplication computational estimation task (MCE task), an emotion judgement task (EJ task), and an emotion assessment task (EA task). Behavioral performance was measured via accuracy and response time during the MCE task, and ratings of the EA task, while eletrophysiological response was measured via the contingent negative variation (CNV) elicited by completing the MCE task. Decreased response time and emotional intensity ratings were observed for priming emotion regulation idioms compared to priming neutral idioms. Priming emotion regulation idioms attenuated early CNV amplitudes under happiness priming, and attenuated both early and late CNV amplitudes under fear priming. These results suggested that implicit reappraisal and suppression are promising strategies to enhance arithmetic performance and alleviate the adverse effects of affective priming, especially under fear priming.

Arithmetic performance is modulated by cognitive reappraisal and expression suppression: Evidence from behavioral and ERP findings

Previous studies have shown that negative emotional experiences are detrimental to individual's arithmetic performance, and no study has investigated whether such negative influence can be improved through emotional regulation. This study aimed to explore the relationship between emotion regulation and individual's performance in completing arithmetic problem verification task. Participants were asked to complete arithmetic problem verification task using the down-up strategy (e.g., doing 30 × 70 = 2100 for 34 × 67), under neutral, happy, and fear priming conditions, during which they were asked to regulate their emotional experience by using cognitive reappraisal or expressive suppression. Behavioral results showed that, under happy priming condition, cognitive reappraisal (but not expression suppression) contributed to improving individual's estimation speed. Additionally, under happy and fear priming conditions, cognitive reappraisal (vs. expression suppression) reduced individuals' emotional experience intensity. The arithmetic problem verification task-related ERP results showed that the P1 amplitudes elicited by using cognitive reappraisal (vs. freely view) were larger under happy and fear priming conditions, but the P1 amplitudes elicited by using expression suppression were larger only under happy condition. Meanwhile, the corresponding N170 amplitudes were smaller when using cognitive reappraisal and expression suppression (vs. freely view). Additionally, using cognitive reappraisal (vs. expression suppression) cost less cognitive resource (smaller LPC amplitudes). The present study indicated that both cognitive reappraisal and expression suppression contributed to improving individual's arithmetic performance, and the regulation effect of cognitive reappraisal was better than that of expression suppression.

Implicit happy and fear experience contributes to computational estimation strategy execution: Behavioral and neurophysiological evidence

Previous study have explored the influence of explicit emotion priming on computational estimation strategy execution, but the corresponding influence of implicit emotion priming still remains unknown. The present study aimed to solve this problem. Participants were asked to complete two-digit multiplication computational estimation task, under different implicit emotion priming conditions (gender judgment task). In the two-digit multiplication computational estimation task, the computational estimation question was presented in the middle of the screen, meanwhile, two alternative answers were presented side by side at the bottom of the screen, participants were required to select which answer is correct, by using the down-up strategy (e.g., doing 30 × 50 = 1500 for 34 × 46). Behavioral results showed that the response speed under implicit happy and fear (vs. neutral and angry) priming conditions was quicker, and the accuracy under different priming conditions showed no significant difference. The ERP results showed that the influence of implicit emotion priming on computational estimation strategy execution consisted of two phases: in the first phase, the N1 amplitudes elicited by completing the multiplication computational estimation task were smaller under implicit fear (vs. angry) priming condition; in the second phase, the corresponding P2 amplitudes under implicit happy (vs. fear) priming condition were smaller. The present study indicated that implicit happy and fear experience contributed to complete computational estimation tasks, suggesting that implicit negative emotional (e.g., fear) experience was not always detrimental to computational estimation strategy execution.