Attentional deployment training impacts neural responses to subsequent regret

Concurrent behavioral modeling and multimodal neuroimaging reveals how feedback affects the performance of decision making in internet gaming disorder

Internet gaming disorder (IGD) prompts inquiry into how feedback from prior gaming rounds influences subsequent risk-taking behavior and potential neural mechanisms. Forty-two participants, including 15 with IGD and 27 health controls (HCs), underwent a sequential risk-taking task. Hierarchy Bayesian modeling was adopted to measure risky propensity, behavioral consistence, and affection by emotion ratings from last trial. Concurrent electroencephalogram and functional near-infrared spectroscopy (EEG-fNIRS) recordings were performed to demonstrate when, where and how the previous-round feedback affects the decision making to the next round. We discovered that the IGD illustrated heightened risk-taking propensity as compared to the HCs, indicating by the computational modeling (p = 0.028). EEG results also showed significant time window differences in univariate and multivariate pattern analysis between the IGD and HCs after the loss of the game. Further, reduced brain activation in the prefrontal cortex during the task was detected in IGD as compared to that of the control group. The findings underscore the importance of understanding the aberrant decision-making processes in IGD and suggest potential implications for future interventions and treatments aimed at addressing this behavioral addiction.

Effects of attentional deployment training for relieving negative emotion in individuals with subthreshold depression

OBJECTIVE

As a prodromal stage to major depressive disorder (MDD), subthreshold depression (StD) has a higher prevalence in the population, resulting in a greater healthcare burden. StD individuals' current negative emotion could be moderated by attentional deployment. However, it remains unclear whether attentional deployment training can mitigate subsequent negative emotion in StD individuals.

METHODS

Based on 160 participants, we combined decision task (Experiment 1, N = 69), eye-tracking (Experiment 2, N = 40), and EEG (Experiment 3, N = 51) techniques to investigate how one-week attentional deployment (gain-focus, GF) training modulated the emotional processing of negative stimulus and its underlying neural correlates in StD individuals.

RESULTS

After one-week GF training, StD individuals significantly reduced the first fixation time and total fixation time on the negative part (missed opportunities) of decision outcome and showed a decrease in emotional sensitivity to missed opportunities. An increase in N1 and decrease in P3 and LPP (late positive potentials) amplitudes, as well as a decrease in alpha oscillation, were observed when StD individuals faced missed opportunities after training. Additionally, the extent of reduction in StD individuals' emotional sensitivity to missed opportunities could be significantly predicted by the degree of decrease in alpha oscillation.

CONCLUSION

One-week attentional deployment training could modulate negative emotion in StD individuals and the degree of change in alpha oscillation might act as an objective indicator for the effectiveness of training.

SIGNIFICANCE

Our study provides a convenient and effective approach to alleviate the negative emotion of StD individuals.

The road not taken: Common and distinct neural correlates of regret and relief

Humans anticipate and evaluate both obtained and counterfactual outcomes - outcomes that could have been had an alternate decision been taken - and experience associated emotions of regret and relief. Although many functional magnetic resonance imaging (fMRI) studies have examined the neural correlates of these emotions, there is substantial heterogeneity in their results. We conducted coordinate-based ALE and network-based ANM meta-analysis of fMRI studies of experienced regret and relief to examine commonalities and differences in their neural correlates. Regionally, we observed that the experience of both regret and relief was associated with greater activation in the right ventral striatum (VS), which is implicated in tracking reward prediction error. At the network level, regret and relief shared the reward-sensitive mesocorticolimbic network with preferential activation of the medial orbitofrontal cortex (mOFC) for regret processing and medial cingulate cortex (MCC) for relief processing. Our research identified shared and separable brain systems subserving regret and relief experience, which may inform the treatment of regret-related mood disorders.

The role of emotional sensitivity to missed opportunity and grey matter volume of thalamus in risk-taking behaviour

The ability to make suitable risky decision is necessary for individuals' survival and development. However, individuals vary in risk preference. The current study, adopting a decision task, aimed to explore the emotional sensitivity to missed opportunity and grey matter volume (GMV) of thalamus in high risk-takers by using voxel-based morphology analysis. In the task, eight boxes should be opened successively. Seven boxes contained coins and one box contained the devil to zero coins. Once stopped, collected and missed (missed opportunity) coins were presented. Participants were divided into high- and low risk-takers according to their risk-taking behaviour in the decision task. We found that high risk-takers showed stronger emotional sensitivity to missed opportunity and smaller GMV of thalamus than low risk-takers. In addition, the GMV of thalamus partially mediated the effect of emotional sensitivity to missed opportunity on risk-taking behaviour among all participants. Overall, the current study highlights the role of emotional sensitivity to missed opportunity and the GMV of thalamus in risk-taking behaviour, which helps us understand the possible reason for the variation among individuals in risk preference.

Altered neural correlates of optimal decision-making in individuals with depressive status

Making optimal decisions by computing risk and benefit is necessary for humans. However, whether individuals with depressive status could utilize the optimal strategy to guide decision and its neural correlates remain unclear. The current study explored these issues by combining a decision task and high temporal-resolution electroencephalogram (EEG). The decision task involved an eight-box trial in which participants successively decided whether to open a box containing a potential reward or punishment, deciding to stop guaranteed they would retain the rewards already accumulated. Theoretically, the optimal strategy in the task was to stop at the fourth box, which had the largest expected value. We found that individuals with depressive status stopped fewer trials at the fourth box, relative to healthy controls, indicating their impaired optimal strategy during decision-making. Moreover, compared to healthy controls, individuals with depressive status showed weaker P2 amplitude and weaker beta-band oscillation at the frontocentral scalp when deciding whether to open the fourth box. Additionally, for healthy controls but not for individuals with depressive status, the P2 amplitude fully mediated the relationship between participants' degree of expected benefit (as reflected by the recreational risk-taking scale) and the frequency of trials stopped at the fourth box. Overall, this study revealed that the P2 amplitude and beta-band oscillation might explain the altered optimal decision-making in individuals with depressive status.

The modulation of attentional deployment on emotional sensitivity to missed opportunity in depressive individuals: An event-related potential study

BACKGROUND

Depression affects individuals' physical and mental health seriously. It's important to explore the pathological mechanisms underlying depression. However, the emotional sensitivity to missed opportunity in depressive individuals and whether attentional deployment influences it remain unclear. The exploration of these questions could help to find novel approaches for the treatment of depression.

METHODS

Experiment 1 investigated the emotional sensitivity to missed opportunity in depressive participants during a sequential risk-taking task relative to healthy participants. Experiment 2 added attentional deployment manipulation to the task, i.e., inducing participants to focus on the positive or negative part of decision outcome, and investigated the modulation of attentional deployment on depressive participants' emotional sensitivity to missed opportunity and the neural mechanisms underlying this process by using EEG.

RESULTS

Depressive participants showed stronger emotional sensitivity to missed opportunity and LPP was a biomarker of this sensitivity. Moreover, focusing on the positive part of outcome reduced depressive participants' emotional sensitivity to missed opportunity effectively, and alpha power in the parietal area played a key role in this process.

CONCLUSIONS

The current study primarily revealed that depressive individuals were more sensitive to missed opportunity and attentional deployment was an effective way to modulate this sensitivity.

Neural mechanisms underlying the processing of emotional stimuli in individuals with depression: An ALE meta-analysis study

Depression is the leading cause of physiological problems and suicide. Previous studies have indicated that individuals with depression show abnormal processing of both positive and negative emotional stimuli. However, the common and distinct patterns of brain activity during the processing of positive and negative emotional stimuli in individuals with depression remain controversial. The current meta-analysis study used the activation likelihood estimation method to investigate these issues across 21 functional magnetic resonance imaging studies. Results revealed that, compared with individuals without depression, individuals with depression showed higher activation in the anterior cingulate gyrus, insula, and middle frontal gyrus (MFG) for positive emotional stimuli and higher activation in the MFG, inferior frontal gyrus, and insula for negative emotional stimuli. Moreover, we identified that the MFG was consistently activated in individuals with depression regardless of the type of emotional stimuli. However, we did not find distinct patterns of brain activity between positive and negative emotional stimuli in individuals with depression. Our results demonstrated that both positive and negative emotional stimuli processing shares the same cognitive control-related brain regions in individuals with depression.

The neural mechanisms underlying the modulation of attentional deployment on emotional stability

Emotional stability, the change of emotion response among situations, was associated with mental illness, such as depression. The current study aimed to explore the modulation of attentional deployment on emotional stability by combining functional magnetic resonance imaging (fMRI) and a sequential risk-taking task. During the task, participants were asked to open a series of boxes consecutively and decided when to stop. Each box contained a reward, except one containing a devil to zero reward in the trial. When participants stopped, both collected gains and missed chances were revealed. The attentional deployment was manipulated during the outcome feedback, i.e., inducing participants to focus on the good part (GF context) or the bad part (MF context) of the decision outcome. Besides, the Control context was also set, in which the attentional deployment was not manipulated. The behavioral results showed that the emotional stability was stronger in GF context relative to MF and Control contexts. At the neural level, with outcomes getting better, activations of ventral striatum (VS) and superior frontal gyrus (SFG) increased faster in GF context than that in MF and Control contexts. In addition, in GF context, the changing of SFG activation with outcomes getting better was associated with emotional stability. The current study highlighted that focusing on the good part of decision outcomes could enhance emotional stability effectively and SFG played a vital role in this process.

Dissociating Value-Based Neurocomputation from Subsequent Selection-Related Activations in Human Decision-Making

Human decision-making requires the brain to fulfill neural computation of benefit and risk and therewith a selection between options. It remains unclear how value-based neural computation and subsequent brain activity evolve to achieve a final decision and which process is modulated by irrational factors. We adopted a sequential risk-taking task that asked participants to successively decide whether to open a box with potential reward/punishment in an eight-box trial, or not to open. With time-resolved multivariate pattern analyses, we decoded electroencephalography and magnetoencephalography responses to two successive low- and high-risk boxes before open-box action. Referencing the specificity of decoding-accuracy peak to a first-stage processing completion, we set it as the demarcation and dissociated the neural time course of decision-making into valuation and selection stages. The behavioral hierarchical drift diffusion modeling confirmed different information processing in two stages, that is, the valuation stage was related to the drift rate of evidence accumulation, while the selection stage was related to the nondecision time spent in response-producing. We further observed that medial orbitofrontal cortex participated in the valuation stage, while superior frontal gyrus engaged in the selection stage of irrational open-box decisions. Afterward, we revealed that irrational factors influenced decision-making through the selection stage rather than the valuation stage.

Resting-state functional connectivity within orbitofrontal cortex and inferior frontal gyrus modulates the relationship between reflection level and risk-taking behavior in internet gaming disorder

Internet gaming disorder (IGD) has become an increasing mental health issue worldwide. Previous studies indicated that IGD was related to maladaptive risk-taking behavior. However, the relationship among risk-taking behavior, reflection level, and resting-state functional connectivity (rsFC) between brain regions in IGD individuals remains unclear. The current study combined resting-state fMRI and the Devil task to investigate this issue. The behavioral results suggested that IGD participants exhibited increased risk-taking behavior in the Devil task than healthy controls. Moreover, IGD participants' risk-taking behavior was positively correlated with their reflection level. As for fMRI results, IGD participants showed stronger rsFC between orbitofrontal cortex (OFC) and inferior frontal gyrus (IFG) than healthy controls. Additionally, the mediation analyses revealed that, among IGD participants, the rsFC between OFC and IFG fully mediated the relationship between reflection level and risk-taking behavior. Together, the current study highlighted that the altered rsFC between OFC and IFG in IGD individuals modified the relationship between their reflection level and risk-taking behavior, which might contribute to the understanding of neural mechanisms underlying risk-taking behavior in IGD individuals.

The modulation of attentional deployment on regret: an event-related potential study

Adopting a sequential risk-taking task, this study explored the modulation of attentional deployment on regret. Attentional deployment was manipulated during outcome feedback of the task by highlighting different parts to induce participants to focus on collected gains (GF context) or missed chances (MF context). The control context without attentional deployment manipulation was also set. Behaviorally, compared to the control context, participants felt less regret in the GF context but more regret in the MF context. Event-related potential results showed that the GF context elicited stronger reward positivity and late positive potential (LPP) than the control context. Furthermore, openness (NEO Five-Factor Inventory) negatively predicted the amplitude of LPP in the GF context. Source localization indicated that the superior frontal gyrus showed stronger activation in the GF context than in the control context during the time window of LPP. These results suggested that focusing on collected gains was an effective way to repress regret and that the LPP component played a key role in this process.