Aberrant social feedback processing and its impact on memory, social evaluation, and decision-making among individuals with depressive symptoms

Author(s):  
Hui Xie ◽  
Licheng Mo ◽  
Sijin Li ◽  
Jialin Liang ◽  
Xiaoqing Hu ◽  
...  
2017 ◽  
Vol 13 (2) ◽  
pp. 202-213 ◽  
Author(s):  
Sebastian Schindler ◽  
Johanna Kissler

2011 ◽  
Vol 217 (1) ◽  
pp. 111-125 ◽  
Author(s):  
Anja S. Euser ◽  
Catharina S. van Meel ◽  
Michelle Snelleman ◽  
Ingmar H. A. Franken

Author(s):  
Hatice Çolak ◽  
Emel Erdeniz ◽  
Esra Tansu Sarıyer ◽  
Ekin Çevik ◽  
Didem Yangın

BACKGROUND: Caffeine can affect depressive symptoms and decision-making. OBJECTIVE: This study aims to examine the relationship between caffeinated beverages consumption with depressive symptoms and decision-making styles. METHODS: This cross-sectional study was conducted with 432 adults working in office environment. The questionnaire consisting of individuals’ socio-demographic attributes, the frequency and the amount of caffeinated beverages consumption, the “Epidemiological Research Center-Depression (CES-D) Scale” and the “Decision-Making Styles Scale” were used. The frequency and amount of caffeinated beverages were determined using the food frequency questionnaire (FFQ). The participants were asked to choose which cup/mug they prefer to drink their caffeinated beverages and what amount they consume that beverage at a time. All the data were collected using online platforms. RESULTS: In the study, 76.7%of the participants were female and the mean age was 31.5±8.0 years. The average daily total caffeine intake of the participants was 425.8±461.4 mg and the total CES-D scale score was 17.7±11.2 points. It was found that as the amount of caffeine consumed increased, intuitive decision-making decreased and depressive symptoms increased (p <  0.05). In linear regression analysis, total caffeine consumption was found to be a significant predictor for the intuitive decision-making score (B: –0.151; p:0.002). When caffeine consumption is controlled, intuitive and rational decision making decreases with increasing depressive symptoms while addiction and avoidance decision making increased (p <  0.05). CONCLUSIONS: As a result, the amount of caffeine consumed daily was related to intuitive decision-making but did not effect depression. It has been observed that depressive symptoms affect decision-making styles in different ways. To our knowledge, our study is the first to examine the effects of caffeine consumption on depression and decision-making styles. Accordingly, future studies may focus on the link between caffeine consumption, depression, and decision-making styles in larger populations and the mechanisms that influence this relationship.


2019 ◽  
Vol 14 (10) ◽  
pp. 1073-1086 ◽  
Author(s):  
Sebastian Schindler ◽  
Gregory A Miller ◽  
Johanna Kissler

Abstract In the age of virtual communication, the source of a message is often inferred rather than perceived, raising the question of how sender attributions affect content processing. We investigated this issue in an evaluative feedback scenario. Participants were told that an expert psychotherapist, a layperson or a randomly acting computer was going to give them online positive, neutral or negative personality feedback while high-density EEG was recorded. Sender attribution affected processing rapidly, even though the feedback was on average identical. Event-related potentials revealed a linear increase with attributed expertise beginning 150 ms after disclosure and most pronounced for N1, P2 and early posterior negativity components. P3 and late positive potential amplitudes were increased for both human senders and for emotionally significant (positive or negative) feedback. Strikingly, feedback from a putative expert prompted large P3 responses, even for inherently neutral content. Source analysis localized early enhancements due to attributed sender expertise in frontal and somatosensory regions and later responses in the posterior cingulate and extended visual and parietal areas, supporting involvement of mentalizing, embodied processing and socially motivated attention. These findings reveal how attributed sender expertise rapidly alters feedback processing in virtual interaction and have implications for virtual therapy and online communication.


2020 ◽  
Vol 15 (3) ◽  
pp. 285-291 ◽  
Author(s):  
Ruolei Gu ◽  
Xiang Ao ◽  
Licheng Mo ◽  
Dandan Zhang

Abstract Social anxiety has been associated with abnormalities in cognitive processing in the literature, manifesting as various cognitive biases. To what extent these biases interrupt social interactions remains largely unclear. This study used the Social Judgment Paradigm that could separate the expectation and experience stages of social feedback processing. Event-related potentials (ERPs) in these two stages were recorded to detect the effect of social anxiety that might not be reflected by behavioral data. Participants were divided into two groups according to their social anxiety level. Participants in the high social anxiety (HSA) group were more likely to predict that they would be socially rejected by peers than did their low social anxiety (LSA) counterparts (i.e. the control group). Compared to the ERP data of the LSA group, the HSA group showed: (a) a larger P1 component to social cues (peer faces) prior to social feedback presentation, possibly indicating an attention bias; (b) a difference in feedback-related negativity amplitude between unexpected social acceptance and unexpected social rejection, possibly indicating an expectancy bias; and (c) a diminished sensitivity of the P3 amplitude to social feedback valence (be accepted/be rejected), possibly indicating an experience bias. These results could help understand the cognitive mechanisms that comprise and maintain social anxiety.


2020 ◽  
Vol 10 (8) ◽  
pp. 508
Author(s):  
Hiroyoshi Ogishima ◽  
Shunta Maeda ◽  
Yuki Tanaka ◽  
Hironori Shimada

Background: In this study, we examined the relationships between reward-based decision-making in terms of learning rate, memory rate, exploration rate, and depression-related subjective emotional experience, in terms of interoception and feelings, to understand how reward-based decision-making is impaired in depression. Methods: In all, 52 university students were randomly assigned to an experimental group and a control group. To manipulate interoception, the participants in the experimental group were instructed to tune their internal somatic sense to the skin-conductance-response waveform presented on a display. The participants in the control group were only instructed to stay relaxed. Before and after the manipulation, the participants completed a probabilistic reversal-learning task to assess reward-based decision-making using reinforcement learning modeling. Similarly, participants completed a probe-detection task, a heartbeat-detection task, and self-rated scales. Results: The experimental manipulation of interoception was not successful. In the baseline testing, reinforcement learning modeling indicated a marginally-significant correlation between the exploration rate and depressive symptoms. However, the exploration rate was significantly associated with lower interoceptive attention and higher depressive feeling. Conclusions: The findings suggest that situational characteristics may be closely involved in reward exploration and highlight the clinically-meaningful possibility that intervention for affective processes may impact reward-based decision-making in those with depression.


2015 ◽  
Vol 282 (1802) ◽  
pp. 20142515 ◽  
Author(s):  
Isaac Planas-Sitjà ◽  
Jean-Louis Deneubourg ◽  
Céline Gibon ◽  
Grégory Sempo

Collective decision-making processes emerge from social feedback networks within a group. Many studies on collective behaviour underestimate the role of individual personality and, as a result, personality is rarely analysed in the context of collective dynamics. Here, we show evidence of sheltering behaviour personality in a gregarious insect ( Periplaneta americana ), which is characterized by a collective personality at the group level. We also highlight that the individuals within groups exhibited consistent personality traits in their probability of sheltering and total time sheltered during the three trials over one week. Moreover, the group personality, which arises from the synergy between the distribution of behaviour profiles in the group and social amplifications, affected the sheltering dynamics. However, owing to its robustness, personality did not affect the group probability of reaching a consensus. Finally, to prove social interactions, we developed a new statistical method that will be helpful for future research on personality traits and group behaviour. This approach will help to identify the circumstances under which particular group compositions may improve the fitness of individuals in gregarious species.


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