Oscar García’s research while affiliated with Biomedical Research Institute of Lleida and other places

This study investigated prefrontal cortex activity during the viewing and evaluation of pictures depicting scenarios with varying levels of danger, with a focus on the modulatory effects of personality traits and decision-making styles. The study sample included 120 male participants (44.4 ± 12.9 years) and 87 female participants (38.9 ± 10.5 years). Functional Near-Infrared Spectroscopy (fNIRS) was used to measure prefrontal oxygenation during the period of looking at pictures and the subsequent period of judging how dangerous they looked. Psychometric assessments included the Zuckerman–Kuhlman–Aluja Personality Questionnaire (ZKA-PQ) and the Melbourne Decision-Making Questionnaire (MDMQ). The results revealed significant time-by-region (F = 2.9, p = 0.013) and danger level by region interactions (F = 2.8, p = 0.021) during the viewing period. During the evaluation period, a significant time-by-region interaction was observed (F = 8.7, p < 0.001). High sensation seekers exhibited reduced oxygenation levels in specific right prefrontal regions, reflecting a differential neural response to varying danger levels. Similarly, individuals with higher Aggressiveness and Extraversion displayed distinct oxygenation patterns during the evaluation phase, suggesting that personality traits influence prefrontal activity. However, no significant effects of decision-making styles were detected in either phase. These findings emphasise the pivotal role of the prefrontal cortex in assessing scene safety and highlight how neural responses are modulated by personality traits, rather than by decision-making styles.

The literature has described how different and independent personality profiles (pathways or motives) lead to the same outcome: alcohol misuse. In addition, decision-making styles could also play a role in understanding alcohol misuse better, although the evidence is much more scarce compared to personality traits. The present paper aims to test how personality traits and decision-making styles could be integrated to better understand different pathways/profiles of alcohol misuse. Measures of alcohol misuse (AUDIT and RAPI), structural personality models (ZKA-PQ/SF), impulsivity (BIS-11 and UPPS-P), and decision-making styles (GDMS) were applied to a sample of 988 individuals from the Spanish general population (446 of them also completed the NEO-PI-R). Exploratory factor analyses support the identification of different pathways to alcohol misuse, and regression analyses suggest that decision-making styles add little variance to personality traits to account for differences in alcohol misuse, although the spontaneous style is consistently associated with alcohol misuse. The conclusions highlight the need to consider different aetiologies of alcohol misuse, especially an antisocial/disinhibited profile, and claim for the assessment of decision-making styles and, especially, personality traits to facilitate more successful treatment and prevention programs for alcohol misuse.

This study compares the Melbourne Decision-Making Questionnaire (MDMQ) and the General Decision-Making Style questionnaire (GDMS), two of the most widely used decision-making questionnaires in the literature, in a large age- and sex-weighted general population sample of 714 men (45.7%) and 848 women (54.3%) between 18 and 90 years old. The objective was to evaluate the convergent and construct validity between several aspects of these decision-making style questionnaires. The results indicate that the two questionnaires replicate the factorial structure of four and five factors reported in the original studies, respectively, through exploratory and confirmatory procedures in our cross-cultural context. The domains of both questionnaires that represent a strong or large correlation are Vigilance with Rational (0.50), and Hypervigilance, Buck-passing, and Procrastination with Avoidant (0.45, 0.52, and 0.60). A Structural Equations Model (SEM) between both questionnaires indicates that both latent factors formed by the domains of the MDMQ and the GDMS obtain a correlation of 0.96. It is concluded that the two questionnaires measure similar aspects of the decision-making construct.

Background: Road safety improvement is a governmental priority due to driver-caused accidents. Driving style variation affects safety, with emotional regulation being pivotal. However, functional near-infrared spectroscopy (fNIRS) studies show inconsistent prefrontal cortex activity during emotion processing. This study examines prefrontal cortex response to negative emotional stimuli, particularly traffic accident images, across drivers diverse in age and gender. Method: The study involved 118 healthy males (44.38 ± 12.98 years) and 84 females (38.89 ± 10.60 years). The Multidimensional Driving Style Inventory (MDSI) was used to assess driving behavior alongside fNIRS recordings. Participants viewed traffic accident and neutral images while prefrontal oxygenation was monitored. Results: Women rated traffic accidents (t-test = 2.43; p < 0.016) and neutral images (t-test = 2.19; p < 0.030) lower in valence than men. Arousal differences were significant for traffic accident images (t-test = −3.06; p < 0.002). correlational analysis found an inverse relationship between Dissociative scale scores and oxygenation (all p-values ≤ 0.013). Greater prefrontal oxygenation occurred with neutral images compared to traffic accidents. Left hemisphere differences (t-test = 3.23; p < 0.001) exceeded right hemisphere differences (t-test = 2.46; p < 0.015). Subgroup analysis showed male participants to be driving these disparities. Among adaptive drivers, significant oxygenation differences between neutral and accident images were evident in both hemispheres (left: t-test = 2.72, p < 0.009; right: t-test = 2.22, p < 0.030). Conclusions: Male drivers with maladaptive driving styles, particularly dissociative ones, exhibit reduced prefrontal oxygenation when exposed to neutral and traffic accident images. This response was absent in female drivers, with no notable age-related differences.

Background: Road safety improvement is a governmental priority due to driver-caused accidents. Driving styles variation affects safety, with emotional regulation being pivotal. However, functional Near-Infrared spectroscopy (fNIRS) studies show inconsistent prefrontal cortex activity during emotion processing. This study examines prefrontal cortex response to negative emotional stimuli, particularly traffic accident images, across diverse drivers in age and gender. Method: The study involved 118 healthy males (44.38 ± 12.98 years) and 84 females (38.89 ± 10.60 years). The Multidimensional Driving Styles Inventory (MDSI) was used to assess driving behaviour alongside fNIRS recordings. Participants viewed traffic accident and neutral images while prefrontal oxygenation was monitored. Results: Women rated traffic accidents (t-test = 2.43; p < .016) and neutral images (t-test = 2.19; p < .030) lower in valence than men. Arousal differences were significant for traffic accident images (t-test = -3.06; p < .002). Correlational analysis found an inverse relationship between Dissociative scale scores and oxygenation (all p-values ≤ .013). Greater prefrontal oxygenation occurred with neutral images compared to traffic accidents. Left hemisphere differences (t-test = 3.23; p < .001) exceeded right hemisphere differences (t-test = 2.46; p < .015). Subgroup analysis showed male participants to be driving these disparities. Among adaptive drivers, significant oxygenation differences between neutral and accident images were evident in both hemispheres (left : t-test = 2.72, p < .009; right: t-test = 2.22, p < .030). Conclusion: Male drivers with maladaptive driving styles, particularly dissociative ones, exhibit reduced prefrontal oxygenation when exposed to neutral and traffic accident images. This response was absent in female drivers, with no notable age-related differences.

The Alternative Model of Personality Disorders (AMPD) is a dimensional, empirically based diagnostic system developed to overcome the serious limitations of traditional categories. We review the mounting evidence on its convergent and discriminant validity, with an incursion into the less-studied ICD-11 system. In the literature, the AMPD's Pathological Trait Model (Criterion B) shows excellent convergence with normal personality traits, and it could be useful as an organizing framework for mental disorders. In contrast, Personality Functioning (Criterion A) cannot be distinguished from personality traits, lacks both discriminant and incremental validity, and has a shaky theoretical background. We offer some suggestions with a view to the future. These include removing Criterion A, using the real-life consequences of traits as indicators of severity, delving into the dynamic mechanisms underlying traits, and furthering the integration of currently disengaged psychological paradigms that can shape a sounder clinical science. OPEN ACCESS available at https://doi.org/10.1146/annurev-clinpsy-081122-010709

This study compares the Melbourne Decision-Making Questionnaire (MDMQ) and the General Decision-Making Style (GDMS), two of the most widely used decision-making questionnaires in the literature, in a large age- and sex-weighted general population sample of 714 men (45.7%) and 848 women (54.3%) between 18 and 90 years old. The objective was to evaluate the convergent and construct validity between several aspects of decision-making styles questionnaires. The results indicate that the two questionnaires replicate the factorial structure of four and five factors reported in the original studies respectively, through exploratory and confirmatory procedures in our cross-cultural context. The domains of both questionnaires that represent a strong or large correlation are Vigilance with Rational (.50), Hypervigilance, Buck-passing, and Procrastination with Avoidant (.45, .52 and .60). A Structural Equations Model (SEM) between both questionnaires indicates that both latent factors formed by the domains of the MDMQ and the GDMS obtain a correlation of .96. It is concluded that the two questionnaires measure similar aspects of the decision-making construct.

This study compares the Melbourne Decision-Making Questionnaire (MDMQ) and the General Decision-Making Style (GDMS), two of the most widely used decision-making questionnaires in the literature, in a large age- and sex-weighted general population sample of 714 men (45.7%) and 848 women (54.3%) between 18 and 90 years old. The objective was to evaluate the convergent and construct validity between several aspects of decision-making styles questionnaires. The results indicate that the two questionnaires replicate the factorial structure of four and five factors reported in the original studies respectively, through exploratory and confirmatory procedures in our cross-cultural context. The domains of both questionnaires that represent a strong or large correlation are Vigilance with Rational (.50), Hypervigilance, Buck-passing, and Procrastination with Avoidant (.45, .52 and .60). A Structural Equations Model (SEM) between both questionnaires indicates that both latent factors formed by the domains of the MDMQ and the GDMS obtain a correlation of .96. It is concluded that the two questionnaires measure similar aspects of the decision-making construct.

Background This study was designed to examine the prevalence and relationships between the Internet gaming disorder (IGD) behaviors, suggested by the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), and personality traits. Participants and procedure A sample community of 1,548 subjects, 707 men and 841 women, with a mean age of 40.90 and 38.89 years, respectively, was evaluated. Results The results showed that only 7 subjects (0.5%) exceeded the cut-off point of 75 points to be classed as “disordered gamers” proposed by Fuster et al. (2016) in Spain. This study demonstrates the unidimensionality of the IGD-20, so it can be used as an ordinal dimensional measure to study the relationship between IGD symptoms and other related variables such as per-sonality in community samples. A multiple linear regression analysis revealed that up to 8% of the variance of the Internet Gaming Disorder-20 scale (IGD-20), as a dimensional scale, can be explained by low activity, high aggressiveness, introver-sion, non-planning impulsivity, sensation seeking, neuroticism and impulsiveness (attention impulsivity) using the Alterna-tive Five Factor Model (AFFM) of personality and the Barratt Impulsivity Scale (BIS-11). Conclusions This study shows that the prevalence of IGD in the Spanish population is similar to that of other Western countries. The unidimensionality of the IGD-20 allows its use in correlational studies to examine the relationship between Internet gam-bling behaviors and personality variables. The implications of these personality profiles are discussed in relation to the psy-chological and clinical mechanisms involved in Internet gaming disorder.

This study was designed to examine the relationships among the impulsivity construct as a personality trait, the dehydroepiandrosterone sulfate (DHEA-S), and testosterone in a sample of 120 healthy middle-aged males (Mage = 44.39; SD = 12.88). The sum of the three BIS-11 scales, the SR, and the five UPPS-P scales correlated with DHEA-S 0.23 (p < 0.006) and testosterone 0.19 (p < 0.04), controlling for age. Partial correlations showed that DHEA-S was significantly related to motor impulsivity (0.24; p < 0.008), Sensitivity to Reward (0.29; p < 0.002), Lack of Premeditation (0.26; p < 0.05), and, to a lesser extent, Sensation Seeking (0.19; p < 0.04) and Positive Urgency (0.19; p < 0.04). Testosterone correlated with attention impulsivity (0.18; p < 0.04), Sensation Seeking (0.18; p < 0.04), and Positive Urgency (0.22; p < 0.01). Sensitivity to Reward, Negative Urgency, and Positive Urgency were significant predictors of DHEA-S (R2 = 0.28), and Positive Urgency for testosterone (R2 = 0.09). Non-parametric LOESS graphical analyses for local regression allowed us to visualize the non-linear relationships between the impulsivity scales with the two androgens, including non-significant trends. We discuss the implications of these results for impulsive biological personality traits, the limitations of our analyses, and the possible development of future research.