The current work examines the effect of trial-by-trial feedback about correct and error responding on performance in two basic cognitive tasks: a classic Stroop task (n = 40) and a color-word matching task (n = 30). Standard measures of both RT and accuracy were examined in addition to measures obtained from fitting the ex-Gaussian distributional model to the correct RTs. For both tasks, RTs were faster in blocks of trials with feedback than in blocks without feedback, but this difference was not significant. On the other hand, with respect to the distributional analyses, providing feedback served to significantly reduce the size of the tails of the RT distributions. Such results suggest that, for conditions in which accuracy is fairly high, the effect of corrective feedback might either be to reduce the tendency to double-check before responding or to decrease the amount of attentional lapsing.

The role of telomerase reverse transcriptase has been widely investigated in the contexts of ageing and age-related diseases. Interestingly, decreased telomerase activities (and accelerated telomere shortening) have also been reported in patients with emotion-related disorders, opening the possibility for subjective appraisal of stressful stimuli playing a key role in stress-driven telomere shortening. In fact, patients showing a pessimistic judgement bias have shorter telomeres. However, in humans the evidence for this is correlational and the causal directionality between pessimism and telomere shortening has not been established experimentally yet. We have developed and validated a judgement bias experimental paradigm to measure subjective evaluations of ambiguous stimuli in zebrafish. This behavioural assay allows classification of individuals in an optimistic–pessimistic dimension (i.e. from individuals that consistently evaluate ambiguous stimuli as negative to others that perceive them as positive). Using this behavioural paradigm we found that telomerase-deficient zebrafish ( tert − / − ) were more pessimistic in response to ambiguous stimuli than wild-type zebrafish. The fact that individuals with constitutive shorter telomeres have pessimistic behaviours demonstrates for the first time in a vertebrate model a genetic basis of judgement bias.

The General Decision-Making Styles (GDMS) scale measures five decision-making styles: rational, intuitive, dependent, avoidant and spontaneous. GDMS has been related to coping and some personality factors and sex-differences has been described. In spite of its usefulness, there is not a validated Spanish translation. The aim of this study is to translate to Spanish and provide psychometric evidence considering sex differences and the relationships between GDMS, personality and coping variables. Two samples were used for this study; the first sample composed by 300 participants who completed the GDMS and the Rational-Experiential Inventory (REI), and the second sample of 361 participants who completed the GDMS, the Ten Item Personality Trait Inventory and the brief COPE scales. Participants from second sample filled in GDMS a second time (137 participants) after eight weeks from the first data collection. Confirmatory factor analyses showed a five-factor composition of GDMS with equivalence across sex using invariance analyses. Moreover, GDMS showed acceptable internal consistency and temporal stability. Finally, rational and intuitive styles were related to healthier coping patterns and emotional stability, while dependent, avoidant and spontaneous styles were associated with unhealthy coping patterns and emotional instability.

No abstract

Competition elicits different psychological and cardiovascular responses depending on a person's skills. Decision-making has been considered a distal factor that influences competition, but there are no studies analyzing this relationship. Our objective was to analyze whether decision-making affects the response to competition. Specifically, we aimed to test whether good performers on a decision-making test, the Iowa Gambling Task (IGT), showed an adaptive cardiovascular response to competition. In all, 116 participants (44 women) performed the IGT and were classified into Good or Poor decision-makers. Subsequently, they were exposed to a stress task in two different conditions: a face-to-face competition (winners/losers) or a control condition, while an electrocardiogram was recorded. In the competition group, good decision-makers increased their high-frequency respect to the total heart rate variability (HF/HRV) levels during the task, compared to Poor decision-makers. Again, competition group good decision-makers, showed lower LF and higher HF/HRV reactivity than the control group, which represents lower HRV stress pattern. Moreover, in the group of losers, good decision-makers had a decline in low frequency (LF) during the task and faster recovery than poor decision-makers. In conclusion, good decision-makers have a more adaptive stress response and higher levels of mental effort, based on total HRV interpretation. Decision-making skills could be a factor in a more adaptive cardiovascular response to competition.

Recent neuroendocrinology research has pointed out that testosterone (T) and cortisol (C) changes after social interactions can predict risk‐taking behavior in decision‐making, depending on the sex of participants. However, previous research has focused on the effects of the changes in only one hormone, rather than the interaction between them, even though C can suppress T activity. Our aim was to test, in men and women, the role of T changes moderated by C changes after competition in decision‐making. Thus, 48 males and 46 females completed the Iowa Gambling Task (IGT) after a laboratory competition or a noncompetitive task (control task). Saliva samples were collected before and after the competition/control task. IGT was employed to measure risk‐taking decision‐making, considering the degree of uncertainty. Our results showed sex‐differentiated effects of T and C changes on risk‐taking behavior. On the one hand, men from both task groups (Competition/Control) who had higher C and T changes after competition showed more risk‐taking decision‐making (higher IG Risk). On the other hand, women from the competitive task who had high C and T showed conservative decision‐making. Therefore, these results show sex‐differentiated decision‐making profiles, which would help to understand how men and women behave after experiencing a competitive social context.

The reaction time has been described as a measure of perception, decision making, and other cognitive processes. The aim of this work is to examine age-related changes in executive functions in terms of demand load under varying presentation times. Two tasks were employed where a signal detection and a discrimination task were performed by young and older university students. Furthermore, a characterization of the response time distribution by an ex-Gaussian fit was carried out. The results indicated that the older participants were slower than the younger ones in signal detection and discrimination. Moreover, the differences between both processes for the older participants were higher, and they also showed a higher distribution average except for the lower and higher presentation time. The results suggest a general slowdown in both tasks for age under different presentation times, except for the cases where presentation times were lower and higher. Moreover, if these parameters are understood to be a reflection of executive functions, these findings are consistent with the common view that age-related cognitive deficits show a decline in this function.

Background New technologies are changing access to medical records and the relationship between physicians and patients. Professionals can now use e-mental health tools to provide prompt and personalized responses to patients with mental illness. However, there is a lack of knowledge about the digital phenotypes of patients who use e-mental health apps. Objective This study aimed to reveal the profiles of users of a mental health app through machine learning techniques. Methods We applied a nonparametric model, the Sparse Poisson Factorization Model, to discover latent features in the response patterns of 2254 psychiatric outpatients to a short self-assessment on general health. The assessment was completed through a mental health app after the first login. Results The results showed the following four different profiles of patients: (1) all patients had feelings of worthlessness, aggressiveness, and suicidal ideas; (2) one in four reported low energy and difficulties to cope with problems; (3) less than a quarter described depressive symptoms with extremely high scores in suicidal thoughts and aggressiveness; and (4) a small number, possibly with the most severe conditions, reported a combination of all these features. Conclusions User profiles did not overlap with clinician-made diagnoses. Since each profile seems to be associated with a different level of severity, the profiles could be useful for the prediction of behavioral risks among users of e-mental health apps.