Frontiers in Psychology

IntroductionExecutive functions (EF) are higher-order cognitive processes essential for academic performance in university settings. Although there is extensive research on EF training in children, studies in young adults are scarce, particularly those involving interventions tailored to specific needs. ObjectiveTo evaluate the effect of the University Executive Network-Training Program (NExT-U), based on specific needs, on the executive functioning of Cuban university students. MethodologyA quasi-experimental study with a non-equivalent control group and pretest-posttest measurements. Participants were 27 second-year Psychology students (74% female; mean age = 19 years). The experimental group (n=7) received three training sessions focused on Conscious Regulation of Behavior, Decision-Making, Emotional Regulation, and Monitoring of Responsibilities, identified through an initial assessment using the UEF-1 Scale. The control group (n=20) continued with their usual academic activities. Non-parametric analyses and the residual gain method were employed. ResultsThe experimental group showed significant improvements in Conscious Regulation of Behavior (p = .026; r = .51), Emotional Regulation (p = .030; r = .49), and the Supervisory Attention System (p = .046; r = .44), with large effect sizes. The control group experienced no significant changes in any of the functions evaluated. ConclusionsA brief, personalized program can enhance specific executive functions in university students, demonstrating cognitive plasticity in young adults. The findings support the design of contextually relevant interventions to strengthen transversal competencies in higher education.

This study investigated how different forms of task influence the oral performance of Chinese second-language learners and native speakers. By analyzing data from 40 Chinese second-language learners and 40 native speakers through picture description tasks, formal and informal questions, and questions with different emotions (happy and unhappy), it was found that different task characteristics significantly affected language performance. Short picture tasks led to higher communication efficiency and noun rates but more errors, while long story tasks showed higher verb rates, function word rates, etc. Formal questions had more characters and nouns but lower communication efficiency compared to informal ones. Also, happy emotion questions resulted in fewer characters, sentences, and errors than unhappy emotion questions. These findings contribute to the theoretical understanding of task-based language performance in Chinese as a second language and offer practical implications for teaching, textbook compilation, and student evaluation.

Brands increasingly express their positions on social issues through advertising, social media, and public campaigns. How such messages shape consumer perception is an ongoing area of investigation. Addressing a gap in brand activism research in marketing, this study uses eye- tracking technology to examine its impact on brand attitude, eye movement behavior, and memory retention. We tested these variables across three experimental tasks: an online survey, a free- viewing task, and a surprise memory recognition test. As a result, disagreement increased reading time for text statements, while agreement increased visual engagement (fixations) with the depicted product. Positive brand attitude also enhanced memory recognition for advertisements. Overall, disagreement appears to trigger effortful processing of conflicting information, while agreement facilitates visual absorption and strengthens product recognition. These findings highlight the cognitive risks and rewards of brand activism and provide a foundation for future research on its underlying perceptual and cognitive mechanisms.

Building upon foundational psychological theories of event segmentation, this study addresses the limitation of overreliance on temporal boundaries as the primary segmentation criterion. Drawing on two experiments of direct and indirect causation in Mandarin Chinese, this study demonstrates how cognitive segmentation granularity and semantic integration jointly shape syntactic encoding. Results reveal distinct event encoding patterns for direct and indirect causation: coarse-grained segmentation leads to compact syntactic structures (e.g., verb-resultatives), while fine-grained segmentation yields varied multi-clausal expressions. Chinese speakers update event models via prediction errors of intentionality and protagonists, and tend to establish event boundaries at goal-relevant action endpoints when construing causal chains. These conceptual dimensions exert a modulating influence on both event segmentation and semantic integration. We propose a triad model integrating event segmentation, semantic integration, and linguistic specificity, providing a unified framework for elucidating the mind-language interface in conceptual construction and event coding of causation.

Verbal fluency (VF) tasks are widely used to differentiate patients with cognitive impairment from healthy controls, but total word count produced during these tasks becomes unreliable when patients and controls exhibit comparable proficiency. This study examined, in detail, whether item-level and sequential properties of words produced during a VF task could reliably differentiate high-proficiency patients indistinguishable from controls by word count alone. Seventy-seven native Mandarin Chinese speakers (38 controls and 39 patients with mild cognitive impairment or mild dementia) completed a semantic VF task. Participants were subdivided by proficiency into four groups: high-proficiency controls (HC), low-proficiency controls (LC), high-proficiency patients (HP), and low-proficiency patients (LP). The LC and HP subgroups were matched on semantic fluency scores and thus provided a key focus for the investigation. We examined item-level properties (word frequency, contextual diversity, semantic diversity, surprisal) and sequential properties (positional frequency variation) of the words produced. Significant group differences emerged across item-level psycholinguistic properties, though these were primarily driven by the LP group, with no reliable differentiation between LC and HP. Crucially, positional frequency variation distinguished LC from HP. LC participants began their lists with high-frequency words followed by a systematic decline, whereas HP patients produced words within a consistently narrow frequency band throughout. These findings indicate that item-level psycholinguistic properties alone are insufficient to differentiate HP from LC, whereas sequential word frequency variation provides a potential index of cognitive impairment, reflecting underlying differences in semantic retrieval and memory organisation. Future work with larger samples is needed to validate generalisability.

Disordered eating attitudes exist on a continuum that extends well below clinical diagnostic thresholds, yet the cognitive correlates of this non-clinical variation remain incompletely understood. Previous research linking executive functioning to disordered eating in non-clinical samples has relied almost exclusively on self-report questionnaire measures of executive function, which show weak correspondence with performance-based assessments. This methodological reliance leaves open the question of how objective executive performance relates to eating behavior across the spectrum. The present study addressed this gap by examining the association between performance-based measures of executive function and disordered eating attitudes in a non-clinical sample of 243 university students via an online experiment, using a dimensional approach consistent with the Research Domain Criteria framework. Participants completed established neurocognitive tasks covering three executive function domains: working memory was assessed with Digit Span and an N-back task, inhibitory control with a Go/No-Go task, and cognitive flexibility with the Card Sorting Task. Disordered eating attitudes were indexed using the EAT-26 total score and its subscales. A notable correlation was identified between cognitive flexibility and disordered eating attitudes, while working memory and inhibitory control exhibited no such association. Overall, our findings provide evidence for associations between executive functioning and disordered eating attitudes in a non-clinical sample.

Previous research suggests that women and men may differ in moral decision-making involving instrumental harm. However, prior findings have yielded inconsistent explanations for these differences, suggesting effects of gender expression, empathy, action tendencies, and biological causes, such as differences in gonadal hormone levels. Yet, no data exists on the effects of endogenous estradiol and progesterone on moral decision-making, while the effects of testosterone are inconsistent. Our study aimed to close this research gap. A sample of 137 cis individuals (73 women, 64 men) completed a moral dilemma task based on the Consequences, Norms, Inaction (CNI) model either in the morning or evening. Relevant personality traits, including agreement with instrumental harm, impartial beneficence, empathy, and gender expression, were assessed via self-report. Blood samples were analyzed for estradiol, progesterone, testosterone, and cortisol. Contrary to prior literature, no behavioral differences between women and men were observed in moral decision-making. However, self-reported agreement with instrumental harm positively predicted sensitivity to consequences and negatively predicted adherence to moral norms in the whole sample. Estradiol concentration positively predicted sensitivity to consequences in the morning women group, and general inaction tendency in the morning men group. Overall, these findings highlight the joint influence of biological and personality factors on moral choices and hint towards subtle sex/gender differences.

Healthy lifestyle habits are a key pillar of physical, psychological, and social well-being, yet university years are often marked by declines in sleep quality, physical activity, and other health behaviors that may affect academic performance. This cross-sectional study examined these associations in 390 Spanish university students, assessed via an online and in-person questionnaire covering academic trajectory (grade point average, credits passed, curricular progression), sleep quality (PSQI), physical activity (IPAQ), tobacco use, Body Mass Index (BMI), and sociodemographic data. Bivariate associations were tested with chi-square, Pearson correlation, t-tests, and ANOVA, followed by generalized linear models for significant variables. Sports participation, but not IPAQ-measured physical activity, was significantly associated with academic progression, defined as advancing one grade level per year. Sleep indicators showed mixed, partly counterintuitive associations: poorer nocturnal sleep was linked to better progression, whereas better sleep quality predicted a higher percentage of credits completed. BMI was a modest positive predictor of credit completion, and underweight students performed significantly worse than overweight or obese peers. Tobacco use showed no significant associations. These findings suggest that sleep-related behaviors, sports participation, and, to a lesser extent, BMI, are relevant correlates of academic progress, supporting university health policies addressing sleep, physical activity, and nutrition.

Sentence comprehension requires the incremental construction of syntactic structure and semantic interpretation. Prior neural work (Nelson et al., 2017) identified key neural events at major phrase boundaries during sentence comprehension. To investigate a behavioral correlation of these processes, we used self-paced reading to examine the impact of syntactic phase boundaries, semantic congruence, and sentence structure on sentence processing. Participants read object-relative, subject-relative, and canonical control sentences one word at a time and a subsequent comprehension task. Reading times were analyzed relative to phrase boundaries, node-closing operations, and semantic congruence. Object-relative sentences produced the greatest processing difficulty, demonstrated by increased reading times and decreased comprehension accuracy. Reading times peaked at the phrase boundaries, indicating that processing costs are tied to constituent completion rather than individual lexical categories. Reading times also increased with the number of syntactic constituents completed at a phrase boundary. Agent-patient semantic congruence produced its largest effects in object-relative sentences, suggesting that semantic information interacts with syntactic computations when processing demands are greatest. These findings demonstrate that self-paced reading is sensitive to the incremental processing associated with syntactic constituent completion. Processing costs are tied more closely to phrase completion than to individual lexical categories, scale with the amount of syntactic structure completed at a boundary and interact with agent-patient semantic interpretation during object-relative sentence comprehension. Together, these findings support a view of sentence comprehension in which syntactic structure building and semantic interpretation proceed incrementally and interact continuously throughout online language processing.

Theft, including shoplifting, extorts a pervasive societal and economic burden. However, the neurobehavioral mechanisms underlying recurrent theft remain sparsely understood. In this study, we investigated social cognition deficits in theft recidivists with kleptomania (TR+K) and instrumental theft recidivists without kleptomania (TR-K) compared to control subjects without criminal records (CT), for which the Social Norms Questionnaire (SNQ-22) to assess explicit moral knowledge, alongside the Dictator Game (DG) and Hawk-Dove Game (HDG) to evaluate discretionary and competitive resource allocation with others, respectively, were administered. Bayesian statistical analyses revealed that all groups demonstrated comparable social norm recognition in SNQ-22 and prosociality in the DG. However, distinct behavioral profiles emerged in specific contexts, such that TR+K exhibited more unfairness than CT and TR-K at discretionary resource allocations in the DG, whereas in the HDG, TR-K demonstrated more aggressive, resource-monopolizing responses, particularly when against an aggressive opponent, than CT and TR+K. These results suggest that theft recidivism may stem from contextual failures rather than general deficits in moral knowledge, which are distinct between TR+K rooted in the internal factor, such as heightened loss aversion, and TR-K characterized by impulsivity over the external factor, such as social conflicts with others.

Introduction: Daytime sleepiness (DS) can compromise athletic performance; however, its influence on Brazilian Jiu-Jitsu (BJJ) athletes remains poorly understood. Daytime naps have been suggested as a strategy to alleviate the effects of DS; however, their impact on physical and specific performance remains inconsistent. Thus, this study investigated the influence of different levels of daytime sleepiness on the physical and specific performance of BJJ athletes and verified the effects of daytime napping on these outcomes. Methods: This investigation employed a randomized, controlled, crossover clinical trial design involving 19 amateur Brazilian Jiu-Jitsu (BJJ) athletes who exhibited excessive daytime sleepiness. Participants performed two experimental conditions, with a 30-minute nap (N30) and without a nap (NN), in a randomized order. Vertical jump (CMJ and SJ), anaerobic power (Wingate ), kimono grip strength (KGST), and specific performance were evaluated using the Jiu-Jitsu Anaerobic Performance Test (JJAPT). Data were analyzed using mixed linear models. Results: Daytime sleepiness significantly influenced all parameters of specific performance (JJAPT), with worse performance observed in athletes classified as having abnormal sleepiness. The opportunity to nap increased the total number of repetitions in the JJAPT of four sets ({approx}20 repetitions; p < 0.001), without consistent changes in physical performance tests. An interaction between napping and sleepiness was observed in relation to isometric endurance strength, indicating that napping may provide greater benefits to athletes experiencing abnormal sleepiness. Conclusion: High levels of daytime sleepiness are associated with reduced specific performance in BJJ athletes. Daytime naps are a simple and potentially effective strategy to mitigate these effects and improve specific performance, reinforcing the importance of monitoring sleepiness and individualizing recovery strategies.

Running can improve mood, but the proximal processes linking exercise-induced bodily changes to subjective affective changes remain unclear. Interoception, the sensing and interpretation of internal bodily signals, is central to how bodily states are integrated into emotional experience and may therefore link exercise-induced bodily changes to mood. Here we tested whether interoception links acute running to mood improvement. Twenty-seven healthy young adults completed a crossover experiment consisting of a 15-min moderate-intensity treadmill running condition and a seated rest condition, each performed on separate days. Interoceptive accuracy was assessed using heartbeat counting and tapping tasks. Present-moment interoceptive sensibility was monitored using a state-adapted Body Perception Questionnaire, and mood state was monitored using the Profile of Mood States. Compared with seated rest, running reduced total mood disturbance and tension-anxiety, increased vigor-activity, and enhanced heartbeat-signal discrimination and interoceptive sensibility. Running-related increases in interoceptive sensibility were associated with greater reductions in total mood disturbance and tension-anxiety. Mediation analyses further indicated that changes in interoceptive sensibility partially mediated the effect of running on total mood disturbance, with weaker evidence for tension-anxiety. These findings suggest that enhanced interoceptive sensibility may represent one proximal process through which acute running improves mood states.

Handgrip strength (HGS) is a practical measure of muscular strength, but the factors associated with relative HGS among young adults remain insufficiently understood. This exploratory cross-sectional study examined demographic and anthropometric characteristics, total physical activity (PA), and depressive symptoms in relation to relative HGS among medical students in Serbia. A total of 424 students from the Faculty of Medicine, University of Belgrade, completed HGS testing and study questionnaires. HGS was measured using a VALD DynaMo Lite dynamometer and expressed relative to body weight (N/kg). Participants were categorized according to sample-specific relative HGS percentiles: <25th, 25th to 75th, and >75th percentile. PA was assessed using the IPAQ-SF and depressive symptoms using the PHQ-9. Three pairwise multivariable logistic regression models were used to examine factors associated with relative HGS categories. Sex and BMI were the most consistent correlates of relative HGS. Female students had lower odds of belonging to higher relative HGS categories, while higher BMI was consistently associated with lower odds of belonging to higher categories. Age was associated only with the 25th to 75th percentile group compared with the <25th percentile group. Total PA volume and PHQ-9 score were not independently associated with relative HGS categories. These findings suggest that relative HGS in this population was more strongly associated with demographic and anthropometric characteristics than with total self-reported PA or depressive symptom severity. Keywords: handgrip strength; relative handgrip strength; muscular strength; medical students; physical activity; depressive symptoms; body mass index

Languages vary in whether and how they encode gender. As societies pursue greater inclusiveness, gender-inclusive language (GIL) has emerged as a debated innovation, introducing pronouns and morphological strategies to neutralize grammatical gender (e.g., todxs, for todos/todas, "all"). Yet whether GIL actually reduces gender expectations remains empirically underexplored. Evidence at the neural level is especially scarce. To address this gap, we asked Italian speakers to categorize masculine (lui, "he") and feminine (lei, "she") pronouns following nouns with canonical (masculine -o, feminine -a) or neutralized endings (-*, -{schwa}). Noun gender-stereotypical association was independently manipulated (male-oriented, e.g., chirurgo/a/{schwa}/*, "surgeon"; female-oriented, e.g., maestra/o/{schwa}/*, "teacher"; neutral, e.g., vicina/o/{schwa}/*, "neighbor"). Recording response times and event-related potentials (ERPs) to target pronouns allowed us to assess their automatic integration and processing costs. Gender-incongruent pronouns after canonical forms elicited longer response times and larger N400 and P300 amplitudes, reflecting increased processing difficulty and reanalysis. Pronouns following GIL forms showed an intermediate processing profile. Response times fell between consistent and inconsistent conditions, N400 amplitude was larger than in the consistent condition, and P300 amplitude was reduced compared to the inconsistent condition. Together these findings indicate that both pronouns remained viable interpretations and could ultimately be integrated. Stereotype-based knowledge shaped early processing without preventing integration, predominantly for masculine pronouns. Overall, our findings provide the first neural evidence that, despite processing costs, GIL forms can foster gender-neutral representations, with relevance to ongoing societal debates and broader cross-linguistic implications.

While extensive research has been conducted on emotion recognition from facial stimuli, it remains unclear how embodied emotional cues conveyed through body postures, gestures and actions (e.g., stick figures) compare with facial (human faces) and face-like symbolic representations (emoji faces) in shaping behavioral and neural responses. We employed a multimodal approach, combining behavioral measures (accuracy and reaction time) with electroencephalography (EEG) to examine the electrophysiological correlates of emotion recognition. Overall, sixty-six (equal number of males and females; 18-30 year old) participants identified positive, negative, and neutral emotions depicted in the three formats. Behavioral results showed significant effects of both emotion and format on accuracy and reaction time. Emoji faces were recognized with the highest accuracy and fastest reaction times, followed by stick figures and then human faces (p < .001, some comparisons p < .05). Thirty-four participants (17 males and 17 females) underwent EEG, which revealed distinct patterns of event-related potentials (ERPs). The Early Posterior Negativity (EPN) amplitude showed a significant overall effect of format. Post-hoc comparisons indicated that stick figures elicited greater (more negative) EPN amplitudes than human faces during positive emotion recognition (p = .003), and greater amplitudes than both emoji faces (p = .027) and human faces (p = .007) during negative emotion recognition. No significant differences were observed between emoji and human faces. N170 and Late Positive Potential (LPP) amplitudes did not reveal significant differences (all p > .05). Correlation analyses revealed no significant associations between ERP and behavioral measures. Thus, abstract, minimalistic representations like stick figures elicit enhanced early emotion-related processing despite similar early and later processing across formats. HighlightsO_LIEmotion recognition across realistic (human faces), symbolic (emoji faces) and embodied (stick figures) modalities were compared. C_LIO_LIEmotions were recognized fastest and most accurately in emoji faces format. C_LIO_LIStick figures format elicited significantly higher EPN compared to other two formats across positive and negative emotions. C_LIO_LINo significant differences were observed in terms of N170 and LPP. C_LIO_LIEmbodied, abstract emotional cues modulate automatic emotional appraisal, rather than initial sensory encoding and sustained cognitive evaluation. C_LI

Introduction - Neurofeedback (NFB) has demonstrated efficacy in treating various disorders, often achieving substantial symptom reductions. Despite its effectiveness, a significant percentage of users (non-responders), fail to benefit from NFB. Addressing this issue, the study at hand investigates the role of NFB design on neuro-physiological responses. Method - event related potentials (ERPs) are examined in response to the application of different aesthetic principles in the context of NFB stimulus design. Drawing from Self-Determination Theory and ERP studies in the field of web design, 16 feedback stimuli were developed according to specific design principles. Stimulus design effects were inspected by means of ERPs allowing for the assessment of implicit and fast electroencephalogram (EEG) reactions. Results of n = 38 participants indicated distinct ERP response patterns at time window of interest 1 (TWOI-1; 100-200 ms) and TWOI-2 (200-300 ms), predicted by beholder-based liking and complexity of stimuli. The findings align with the proposed hypotheses suggesting that aesthetic evaluation of NFB stimuli occurs rapidly and implicitly. In response to the aesthetic vs. non-aesthetic categories, the findings were mixed. The results underscore the importance of further exploration of aesthetic design guidelines in the context of NFB applications. It is discussed how NFB aesthetics relate to Processing Fluency and Affective Prediction Error Theory, while the theoretical methodological issue of the Fixed Effect Fallacy is taken into consideration. The study contributes to the broader understanding of how design elements can affect therapeutic efficacy and engagement in NFB and Human Computer Interaction in therapeutic contexts in general.

Early life adversity is associated with increased risk for psychopathology and shifts in life history (LH) strategies, but the psychological mechanisms underlying these associations remain unclear. Drawing on evolutionary-developmental theory, we examined whether short-term mindsets mediate associations between dimensions of childhood adversity and mental health and LH-related outcomes. In a UK-representative sample of 877 adults, we assessed threat, deprivation, and unpredictability, alongside internalizing and externalizing symptoms, borderline features, and a latent factor capturing reproductive versus somatic maintenance effort. Structural equation models showed that adversity predicted poorer mental health and faster LH strategies. Short-term mindsets, indexed by lower future orientation and higher affective impulsivity, mediated effects of adversity, particularly unpredictability. Further decomposition of unpredictability into short-timescale and long-timescale forms revealed dissociable effects, with short-timescale unpredictability primarily linked to psychopathology and long-timescale unpredictability to reproductive-oriented LH strategies.

Studying chess experts helps researchers understand how intensive practice shapes thinking skills. Cognitive flexibility is the ability to adjust thoughts when rules or tasks change. Working memory is the ability to hold and use information over short periods. This study compared cognitive flexibility and working memory precision between adolescent chess players and non-players. Twenty-four professional chess players and twenty-five controls completed two novel behavioral tasks. Chess players showed better accuracy in both tasks than controls. They adapted more efficiently when rules changed during a continuous learning task. They also remembered facial expressions more precisely in a working memory task. Learning rates in the flexibility task did not differ between groups. These results indicate that chess expertise may improve rule-guided flexibility and visual working memory precision in adolescents.

The use of meditation as a tool to improve human wellbeing is receiving considerable scientific interest. However, most existing research has focused on concentration-based practices. One powerful alternative is jhana meditation, which leads to states characterised by self-reinforcing bliss, potentially useful for a variety of clinical and scientific domains. However, our understanding of these states is limited by small amounts of data and poor access to experts. To enable new insights, here we release the largest to date and first open-access dataset of electroencephalographic and physiological recordings in expert Jhana meditators. This includes 100+ hours of data in N=26 subjects across three retreats, alongside a detailed description and example code illustrating analysis of the data. This open dataset release can enable wider collaboration and has the potential to move us closer to an understanding of endogenously generated altered states of consciousness.

Recognizing others emotions is central to social interaction. Traditional biological psychology infers emotional responding via laboratory measures, whereas contemporary computer vision algorithms claim to identify emotions unobtrusively from facial video. However, the validity of such algorithms for classifying spontaneous emotional responses occurring without explicit communicative intent remains debated. We compared established psychophysiological measures (EEG, facial EMG, EDA activity) with the open-source facial behavior toolkit OpenFace for classifying participants spontaneous responses during free viewing of happiness-inducing, disgust-inducing, and neutral pictures. Participants provided valence and arousal ratings and later selected the basic emotion that best matched their reaction which served as the classification criterion. Using within-participants single-trial support vector machine (SVM) classification, EEG achieved the highest accuracy (40%), followed by facial EMG (37%); OpenFace reached 36%. All methods except EDA exceeded chance performance (33.3%) and were lower compared to human raters (48%). Predictions declined slightly for across-participants SVMs, being at chance for OpenFace and EDA. The results indicate that in principle both, psychophysiological measures and video-derived facial action units, can capture diagnostically relevant aspects of emotional responding during picture viewing, but that their performance is limited when expressions are spontaneous and not produced for communicative purposes. Inter-individual variability in expressivity and physiological responding likely contributes to these limitations and should be considered when deploying automatic emotion recognition in research or applied settings.