International Journal of Psychophysiology

Background: As a key mechanism of disorder, clinical anxiety changes how a defensive motivation system functions in active threat coping contexts. Building on initial evidence that a lab-based escape/avoid preparation task is sensitive to disruptions in underlying defensive activation, current research moved toward implementation as a clinical assessment by testing if task responding predicts symptoms in anxiety treatment seekers. Methods: In our escape/avoid task, unpleasant images are shown after 5.5-second cues that indicate if the upcoming image can be prevented (avoid context), terminated after onset (escape context), or not controlled (no-control comparator). To assess defensive activation during response preparation/threat anticipation, a startle reflex indicator of such activation is probed during each cue. Guided by prior data, 125 individuals were classified into groups based on whether startle was enhanced 1) in a no-control, relative to avoid, context, and 2) in an escape, relative to avoid, context. To test clinical correlates, anxiety (State-Trait Anxiety Inventory), depression (Beck Depression Inventory), and worry (Penn State Worry Questionnaire) were then compared across response groups. Results: Anxiety and worry were higher in participants with enhanced no-control and escape startle than in participants with enhanced no-control but not escape startle. Further, depression was higher in participants with under-enhancement of no-control startle than other groups. Finally, when comparing startle-based profiles to canonical questionnaire cut-off score-based groups, ~54-63% convergence emerged. Conclusions: Defensive profiling in escape/avoid contexts shows promise as a prognostic indicator, but a need to continue improving is also indicated. Possibilities to improve predictiveness and reliability are discussed.

BackgroundSelf-compassion has shown to be an effective emotion regulation strategy, but its neural mechanisms remain understudied in adolescents with depression who suffer from social exclusion. This study employed event-related potentials to investigate the psychophysiological mechanisms underlying impaired self-compassion in adolescents with depression during social exclusion. MethodsThirty-seven adolescents with major depressive disorder (age = 16.46 {+/-} 2.02) and thirty-two demographically matched healthy controls (age = 16.54 {+/-} 2.29) completed a social exclusion scenario imagination task. This task presented participants with social exclusion scenarios, asking them to imagine themselves as the excluded individual and subsequently rate their negative emotions. The regulation session required participants to use self-compassionate statements to regulate their emotional responses while imagining and rate how much self-compassion they have engaged in; the non-regulation required them not to use those statements and rate their negative emotions immediately following imagination. EEG signals were recorded during the task, and the late positive potential (LPP) was analyzed to examine the neural responses associated with self-compassion regulation following social exclusion. ResultsCompared with the non-regulation condition, both groups showed less negative emotion during the self-compassion regulation condition. Adolescents with depression exhibited significantly lower self-compassion ratings than healthy controls, and showed a significantly smaller decrease in negative emotions. Higher self-compassion ratings were correlated with greater emotion regulation effect, particularly in adolescents with depression. Furthermore, LPP amplitudes were significantly higher in adolescents with depression than in healthy controls during both regulation and non-regulation conditions. ConclusionsAdolescents with depression were characterized by impairment in using self-compassion to downregulate negative emotions when confronted with social exclusion. LPP amplitudes were consistently elevated in adolescents with depression, underscoring their potential as a critical focus for psychophysiologically-informed therapies.

Digital behaviour change interventions have emerged as a promising approach for improving health, well-being, and performance, yet relatively few studies have evaluated their effects using objective biological and neurophysiological measures. The present study examined the effectiveness of Autonomic, a neuroscience-informed digital coaching platform designed to improve student well-being through personalized behavioural interventions targeting sleep, stress, mood, energy, and focus. Thirty university students engaged with the platform for ten weeks and completed behavioural assessments, biomarker collection, and electroencephalographic (EEG) testing at baseline, five weeks, and ten weeks. Behavioural outcomes included self-reported ratings of focus, energy, sleep, mood, and stress. Biological measures included salivary cortisol and tear fluid dopamine concentrations. EEG assessments included resting-state recordings, frontal theta activity during a working memory task, and N200/P300 event-related potentials during a visual oddball task. Significant improvements were observed in self-reported focus, energy, and sleep quality across the intervention. Electrophysiological measures demonstrated reduced frontal theta power during working memory and shorter P300 latencies during attentional processing, consistent with more efficient cognitive processing following the intervention. Although cortisol, dopamine, and resting-state EEG measures did not reach statistical significance, all exhibited changes in the predicted direction. Collectively, these findings provide converging behavioural, biological, and neurophysiological evidence supporting the effectiveness of Autonomic. More broadly, the study demonstrates the value of combining objective biomarkers and EEG with traditional behavioural assessments when evaluating digital behaviour change interventions and highlights the potential of neuroscience-informed coaching platforms to improve health, well-being, and cognitive functioning in university students.

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

The P300 event-related potential is one of the most studied electrophysiological markers of cognition, yet trial-to-trial variability within conditions has traditionally been treated as measurement error.The vP300 framework proposes that P300 variability, quantified by the coefficient of variation (CV), may reflect locus coeruleus-norepinephrine (LC-NE) mode dynamics. A computational simulation (N = 80) tested three hypotheses. Empirical P3 oddball data from the ERP CORE dataset (N = 39) provided partial validation. Mean amplitude and CV were orthogonal in simulation (r = -0.14, n.s.) and moderately correlated in empirical data (r = -0.418, p = .008), with 82.5% of CV variance independent of mean amplitude. CV significantly predicted cognitive flexibility (r = -0.319, p = .004) while mean amplitude did not (r = .010, p = .928). Trial- to-trial P300 variability carries information orthogonal to traditional mean amplitude, supporting a potential revision of how variability is treated in ERP research.

Alpha and theta band EEG oscillations have been implicated in states of mindfulness meditation. However, results are inconsistent and the influence of testing environment variables is not well-characterized. We used EEG to measure the amplitude of brain oscillations in a mindful-attention versus mind-wandering condition, in which guided auditory instructions were interleaved with periods of silence, with and without accompanying naturalistic video projections. We generated precise measures of alpha and theta in a sample of 20 young-adult non-expert meditators, by identifying each participant's individual alpha peak frequency (IAF) from posterior EEG electrodes and using it to define four individualized frequency bands: two low alpha bands (in 2 Hz increments below the IAF), one upper alpha band (from IAF to 2 Hz above IAF), and one theta band (4 Hz - 6 Hz below IAF). We found that the mindfulness manipulation significantly increased power in alpha ranging between 2 Hz below to 2 Hz above IAF, including peak alpha amplitude, compared with mind-wandering. Meanwhile, central theta amplitude was larger when auditory instructions were on versus off, and naturalistic video did not reliably modulate the EEG effects of mindfulness. We conclude that the acute effects of mindfulness in non-expert meditators are most consistently observed as increases of posterior alpha-band activity, and that auditory task-instructions should be accounted for in studies of guided meditation. Observed alpha increases may reflect induced states of calm or relaxation induced by mindfulness practice, as proposed in previous studies. These results may apply to mindfulness training or biofeedback therapies.

Significance: Misophonia is characterized by decreased tolerance to specific sounds ("triggers") that evoke negative emotional, physiological, and behavioral responses. To understand the neural mechanisms underlying misophonia, functional neuroimaging has been proposed such as functional magnetic resonance imaging (fMRI). However, the fMRI environment introduces substantial noise that increases anxiety, which is one of the comorbidities of misophonia, confounds auditory stimuli, and is costly. We therefore propose an alternative, functional near-infrared spectroscopy (fNIRS) to detect misophonia-related responses. Aim: We evaluated the feasibility of fNIRS to detect misophonia-related sound-evoked responses. Approach: We measured fNIRS, electrodermal activity (EDA), and photoplethysmography (PPG) data from ten adults with minimal to mild misophonia symptoms while they listened to trigger, unpleasant, and neutral sounds. Participants rated their annoyance and antisociality after each sound. Results: Compared with neutral sounds, trigger and unpleasant sounds received higher subjective ratings and evoked greater neural response in the orofacial area. Neural responses tended to increase with annoyance ratings. Significantly lower heart rate (HR) was observed during unpleasant sounds than during neutral and trigger sounds, with no significant difference in EDA features. Conclusions: fNIRS can measure misophonia responses in a quiet setting. Both brain and physiological responses have the same trend observed in prior fMRI studies, verifying its feasibility.

Interpersonal physiological synchrony (IPS) between interaction partners has been studied as a marker of social connectedness and coordination. However, little is known about how such interpersonal synchrony relates to the intrapersonal coordination of individuals' own autonomic systems during team interaction. The present study examined whether IPS and intrapersonal physiological synchrony (IAPS), defined as the within-person coordination of heart rate (HR), respiration, and electrodermal activity (EDA), function as competing or complementary regulatory processes. It also examined whether IAPS is state- or trait-like and whether teams high or low in both IPS and IAPS had better outcomes. Fifty five newly formed triads (N = 165; Mage = 23.87, 77% female) participated in a laboratory interaction including passive shared experiences and active collaborative tasks while continuous physiological activity was recorded. Synchrony within individuals and between team members was quantified using multidimensional recurrence quantification analysis. Across interaction segments, IAPS was positively associated with IPS in both HR and EDA, with stronger and more consistent associations during active teamwork versus during passive social contexts. These findings contradict a trade-off hypothesis and instead support a synergistic relationship between IAPS and IPS. IAPS exhibited state-like dynamics and sensitivity to features of the context, i.e., consistency within similar interaction contexts and higher in passive versus active social segments. Further, IAPS had limited associations with individual difference measures. Exploratory analyses indicated that teams characterized by both high IAPS and high IPS demonstrated more favorable outcomes, reflected in either higher objective task performance or greater perceived team efficacy depending on physiological modality. Together, these results suggest that effective team coordination is supported not only by IPS but also by the capacity to maintain coherent internal autonomic organization. They further highlight IAPS as a dynamic component of social functioning that merits exploration alongside interpersonal processes.

Adapting to natural disasters requires rapid and flexible regulation of emotional and physiological responses, yet the large-scale brain dynamics supporting this process remain poorly understood. Using an immersive virtual reality (VR) earthquake simulation, we investigated real-time neural adaptation to acute environmental threat and its modulation by resilience. Seventy-six participants were randomly assigned to a VR earthquake condition (VR-ES, n = 38) or a control VR condition (VR-CTRL, n = 38). Resting-state EEG was recorded before and after the VR experience, and continuous mobile EEG was recorded during the simulation. EEG microstate analysis was used to characterize large-scale brain dynamics associated with threat exposure and recovery. Exposure to the simulated disaster induced distinct alterations in microstate dynamics, with opposing changes in microstates C (p<0.001, rb=0.55) and D (p<0.001, rb=0.52) observed specifically in the VR-ES group. Moreover, our results confirm that distinct neural patterns are activated during the recovery resting-state phase following VR-ES. Critically, resilience and childhood adversity moderated the patterns of associations with emotional recovery, such that individuals with higher resilience exhibited more adaptive microstate configurations associated with improved recovery outcomes. These findings suggest that flexible reorganization of large-scale brain states supports adaptation to acute environmental stress and that resilience shapes the neural dynamics underlying recovery. This work highlights the value of ecologically valid VR paradigms combined with mobile neurophysiology for understanding individual differences in responses to environmental threat and their adaptive neural mechanisms.

Introduction: Observation of a partner in pain elicits empathy-related cortical responses and social support can modulate pain. Objective: The aim of this study was to investigate empathy and the cortical response during observation of a romantic partner in pain with and without consoling touch. Methods: A total of 40 participants (20 couples) completed validated measures of handedness, pain and empathy. Each member of the couple was randomly assigned to be either the recipient of cold pressor pain or the consoling partner undergoing EEG. EEG activity was recorded from the consoling partner during baseline and pain conditions (with and without consoling touch) to investigate how observation of a partner in pain could alter mu rhythms. Results: Observing a romantic partner in pain significantly enhanced mu at electrodes C4 and Cz, yet addition of consoling touch did not significantly change mu rhythms. Personal Distress was positively associated with mu rhythm enhancement at electrode C4 during pain without consoling touch (r = .576, p = .008). Conclusion: Viewing a romantic partner in pain significantly increased mu rhythms, that was not further changed by offering consoling touch. The association between increases in mu rhythms and Personal Distress in the current study suggests that self-oriented distress may be especially relevant to sensorimotor cortex responses when witnessing a partner in pain, particularly when consoling touch is not possible. Keywords: pain; empathy, EEG, mu rhythms, cold pressor

Cardiovascular markers such as heart rate (HR), heart rate variability (HRV), and blood pressure (BP) are promising for low-intrusive monitoring of mental states relevant to safety-critical performance, yet evidence is mixed regarding which measures are most sensitive to cognitive workload, stress, and fatigue across different task types and time frames. Sixty adults (33 women; M age = 28.1 years, SD = 7.9) completed a 90-120 minute laboratory protocol including four cognitive workload tasks (Judgment of Line Angle and Position, Corsi Block-Tapping, Balloon Analogue Risk Task, Stroop), a modified Trier Social Stress Test (preparation, speech, arithmetic), and a fatigue condition operationalized as time-on-task during a prolonged Stroop (15 min) and Psychomotor Vigilance Task (10 min), each divided into three intervals. Continuous beat-to-beat HR, interbeat interval (IBI), and systolic/diastolic BP were recorded using the CareTaker device; HRV indices (RMSSD, high-frequency power) were derived from IBI using Kubios. Difference scores (task minus baseline) were analyzed using linear mixed models (random intercepts for participants; age and gender covariates), with Tukey-corrected pairwise comparisons to quantify sensitivity across conditions. HR and IBI consistently differentiated multiple workload and stress phases and distinguished Stroop-based fatigue from PVT intervals. HRV-RMSSD showed selective sensitivity, differentiating specific cognitive tasks (notably Stroop relative to other workload tasks), but only demonstrated a trend toward detecting fatigue-related differences at later time intervals. High-frequency HRV showed task-dependent effects only within the cognitive workload condition. Continuous BP did not reliably differentiate tasks, showing at most marginal (uncorrected) effects during TSST phase comparisons. Cardiovascular reactivity patterns depended on task type and temporal dynamics. HR and IBI provided the most robust sensitivity across workload, stress, and fatigue within a prolonged, multi-task protocol, while HRV indices contributed complementary but more task-specific information. The results support multi-metric monitoring approaches for real-time mental state transitions in high-risk operational settings.

Anhedonia, the diminished capacity to experience pleasure, is a core symptom of depressive disorders and is linked to altered reward, salience, and affective processing. However, whether individual differences in anhedonia are associated with variance in neural responses during naturalistic emotional experiences remains unclear. This study examined neural synchrony, subjective emotional similarity, and continuous anhedonia-related variation in 28 healthy young adults who listened to emotionally evocative classical music during fMRI. Participants listened to happy, sad, and neutral excerpts while providing continuous emotional ratings. Inter-subject correlation (ISC) analyses quantified voxelwise neural synchrony across the brain and within affective and reward-related regions of interest (ROIs). Continuous inter-subject representational similarity analysis (IS-RSA) tested whether pairwise neural synchrony varied with anhedonic depression symptoms, measured using the Mood and Anxiety Symptoms Questionnaire (MASQ-AD). Robust ISC was observed during music listening, particularly in bilateral auditory cortices (Heschls gyrus) and sensorimotor regions. Pairwise neural synchrony showed limited correspondence with similarity in continuous emotional subjective ratings, with significant associations primarily observed in auditory and somatosensory regions rather than classical affective regions. Anhedonia IS-RSA showed no reliable associations between MASQ-AD scores and pairwise neural synchrony across targeted affective and reward-related ROIs. These findings suggest that shared neural responses during music listening are strongest in perceptual and sensorimotor systems, whereas subjective emotional similarity and anhedonia-related variation showed limited correspondence with neural synchrony. This pattern highlights the value of continuous, naturalistic approaches for distinguishing shared stimulus-locked processing from more variable components of emotional experience.

We investigated how auditory and visual presentation of small numerical magnitudes and non- numerical magnitudes are passively processed at the neural level. Earlier research suggests automatic processing of quantities occurs rapidly in the brain. However, there are no studies on passive, pre-attentive change detection of magnitudes utilizing mismatch negativity (MMN) across sensory modalities in same participants, important to understand amodal processing of magnitudes. We recorded EEG in passive auditory and visual multi-feature oddball and control paradigms from the same adult individuals (N=104/105, respectively). In the auditory paradigm, the standard stimulus was a 2-part sound, while the deviant stimuli varied in frequency, intensity, gap length, and number of sounds (1-part and 3-part stimuli). In the visual paradigm, the standard stimulus was a dot array containing two medium-sized dots, while the deviant stimuli varied in numerosity (1 or 3 dots) and dot size (small or large). The results for the auditory paradigm showed significant MMN across all features, including comparisons with deviant-alone control stimuli, except for the 2-part vs. 1-part contrast. The results for the visual paradigm suggested differences in processing across all features apart from large and medium-size stimuli. These results replicate earlier MMN findings that the brain distinguishes pre-attentively changes in sound frequency, amplitude and gap. Auditorily presented small numerical magnitudes also showed pre-attentive processing but less robustly to the contrast 2 vs. 1. Visual pre-attentive processing of small numerical magnitudes was also observed. Together these findings could be interpreted to support the existence of abstract, pre- attentive processing of numerical magnitudes. Highlights* Auditory and visual processing of numerical and non-numerical magnitudes was examined with EEG * Auditory non-numerical magnitudes and medium vs. small dots replicated earlier MMN studies * aMMN and vMMN showed pre-attentive processing of changes in small numerosities 2 vs. 3 and 2 vs. 1 * 2 vs. 1 tone processing was less robust than 2 vs. 3 or the processing of the visual contrasts * The brain processes changes in small non-symbolic magnitudes pre-attentively

Creative performance fluctuates from moment to moment, suggesting that it depends partly on transient internal states present before creative thinking begins. Although such fluctuations have been identified in central neural activity, it remains unclear whether they are also reflected in autonomic physiology. We examined whether cardiac and electrodermal activity during a brief pre-trial resting period was associated with subsequent creative performance. Photoplethysmography, electrocardiography, and electrodermal activity were recorded while 28 participants completed the Alternative Uses Test and Fusion Innovation Test, assessing divergent and convergent creative thinking, respectively. Data from 27 participants was included in the analyses. Heart rate, heart rate variability, tonic skin conductance level, and phasic skin conductance activity were extracted from observation windows ranging from 11 to 30 s within a 30-s pre-trial rest period. Trial-level creativity was evaluated using GPT-based ratings of novelty, feasibility, and goal attainment. Linear mixed-effects models showed that higher pre-trial tonic skin conductance level was consistently associated with better subsequent creative performance across tasks, with overall model fit peaking at a 21-s observation window. Permutation-based feature-importance analysis provided convergent support for the contribution of tonic skin conductance, whereas the cardiac and phasic electrodermal indicators showed no reliable independent associations. However, the model explained only a small proportion of behavioral variance. These findings suggest that tonic sympathetic arousal reflects a momentary physiological state associated with creativity potential, while autonomic signals alone remain insufficient for accurate individual-level prediction.

Background: Emotion dysregulation is common across psychiatric disorders, but the biological mechanisms underlying emotional vulnerability remain poorly understood. Cardiac vagal regulation and interoception, the perception of bodily signals, may jointly contribute to emotion regulation. We examined whether their interaction is associated with emotion dysregulation and psychopathology in adolescents receiving psychiatric inpatient treatment. Methods: We studied 279 adolescent psychiatric inpatients. Cardiac vagal regulation was assessed using heart rate variability and interoceptive accuracy using a measure of bodily signal perception. Structural equation modeling tested associations between cardiac vagal regulation, interoceptive accuracy, emotion dysregulation, depressive symptoms, and personality dysfunction, including sex specific pathways and interactions. Results: Here we show that associations between autonomic regulation, interoception, and psychopathology differ by sex. In male adolescents, lower cardiac vagal regulation is associated with greater emotion dysregulation, which is associated with higher depressive symptoms and greater personality dysfunction. These associations depend on interoceptive accuracy and are most evident at low to intermediate levels of bodily signal perception. Comparable pathways are absent in female adolescents. Conclusions: These findings indicate that interactions between cardiac regulation and bodily signal perception contribute to emotional vulnerability in a sex-dependent manner. Altered body-brain communication may contribute to divergent developmental pathways of psychopathology. Integrating sex specific autonomic and interoceptive processes may improve models of emotion regulation and psychiatric risk during adolescence.

Recent research has suggested that the availability of non-instrumental information about the outcome of a risky choice increases risk appetite. In this study, we aimed to perform a conceptual replication of these findings and to examine the cognitive mechanisms underlying this effect. Across two experiments (N = 150, 102), we presented participants with mathematically fair gambles and allowed them to choose the size of their bet. Between trials, we varied the presence of non-instrumental information that would reveal the outcome ahead of time. In both experiments, we did not find consistent evidence for an effect of the availability of non-instrumental information on bet size. These findings suggest that the previously reported effects of non-instrumental information on risk appetite may have been an idiosyncratic feature of experimental design, rather than a more general phenomenon that characterises human decision making under risk.

Recurrent theft, such as shoplifting, is a devastating social problem that poses a significant economic burden on society. However, the neurobehavioral mechanisms underlying such criminal offenses remain barely understood. Here we investigated the behavioral economic profiles of theft recidivists (TR) with and without kleptomania. To identify the decision-making processes underlying stealing behaviors, the hypothetical purchase task and the balloon analogue risk task (BART) structured with gain and loss frames were administered, along with concurrent measurement of prefrontal cortex (PFC) activity during the BART using functional near-infrared spectroscopy. TR with kleptomania demonstrated heightened loss aversion and price sensitivity (elasticity) compared to TR without kleptomania and control subjects with no criminal records, with a significant correlation between these factors, suggesting that heightened loss aversion may contribute to higher elasticity. Moreover, the relative loss-to-risk aversion ratio was found to be positively and negatively associated with the right and left PFC, respectively, suggesting that an imbalance between left and right PFC activity may be involved in the altered behavioral economic profiles. These findings challenge the conventional view of theft as a reward-seeking behavior, revealing that an abnormally inflated fear of monetary loss may play a role in recurrent stealing in kleptomania. SIGNIFICANCE STATEMENTTheft-related crimes, such as shoplifting, constitute a serious social issue that results in significant economic losses. However, little is known about the neurobehavioral mechanisms underlying theft actions. This study found that individuals who repeatedly steal due to kleptomania exhibited excessive loss aversion, making them hypersensitive to price fluctuations when purchasing goods. Furthermore, the study revealed a potential link between this excessive loss aversion and an imbalance in left and right prefrontal cortical activity. These findings suggest that some cases of habitual thieves stem from altered behavioral economic characteristics that differ significantly from the conventional image of theft driven by the pursuit of profit.

BackgroundHigh-frequency heart-rate variability (HF-HRV) is a downstream marker of cortico-autonomic regulation linked to executive function. A recent proposal suggests it indexes regulatory processes because it is both a product of and contributor to neural organization within the prefrontal cortex. The oscillatory phase of HF-HRV has been reported to modulate fronto-central EEG amplitude at rest, and this coupling is attenuated in individuals with schizophrenia relative to healthy controls. We evaluated this brain-body correspondence in relation to anxiety symptomatology, which is likewise associated with autonomic dysregulation. MethodsConcurrent EEG and electrocardiography (ECG) were recorded in 22 nonclinical adults at rest and during a mental arithmetic task. Participants rated anxiety severity using the Generalized Anxiety Disorder 7-item scale (GAD-7). We evaluated between-person associations between anxiety severity and HF-HRV-EEG coupling, as well as within-person differences in coupling between rest and mental arithmetic. ResultsAnxiety symptomatology was associated with decreased resting-state phase-amplitude coupling between HF-HRV phase and fronto-central theta amplitude, independent of EEG and HRV covariates. Relative to rest, HF-HRV-theta coupling increased during a cognitive task, independent of condition-related changes in EEG, HR, or respiration. Anxiety severity moderated the task-evoked changes in heart-brain coupling such that more anxious individuals exhibited larger condition-related differences. Simple-slope analyses indicated anxietys effect on coupling at rest was absent when engaged in a task. ConclusionsHF-HRV-theta phase-amplitude coupling captured anxiety-related and state-dependent variance not evident in conventional cardiac or neural indices. This coupling may index a state-sensitive component of cortico-autonomic regulation, although its putative functional role requires direct testing.

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.

Objective: Women with premenstrual syndrome (PMS) experience affective lability, irritability, depressed mood, and anxiety during the late luteal phase of the menstrual cycle. Stress reactivity may contribute to the development of these symptoms, yet neural correlates remain unexplored. We examined neural, behavioral and endocrine stress responses across menstrual cycle phases in women with and without PMS. Methods: 26 women with PMS and 24 women without PMS participated in two fMRI sessions, during the mid-follicular (days 5 to 11) and late-luteal phases (days -7 to -1). Participants completed the Montreal Imaging Stress Task (MIST). Subjective stress ratings and salivary cortisol were collected at six time points before and after stress induction. Stress-related brain activation was assessed using whole-brain and region-of-interest analyses. Results: Subjective stress ratings increased as expected from before to after the MIST, with no group or phase differences. Salivary cortisol was significantly higher during the mid-follicular phase, with no group effect or significant pre-post MIST difference. While the stress task elicited activation patterns in stress-related regions, whole-brain analysis revealed no significant effects of group (PMS vs. no PMS) or menstrual cycle phase (follicular vs. luteal) on the neural stress response. Considering premenstrual symptom severity as a predictor revealed significant group-by-symptom severity interactions in the right inferior frontal gyrus and the right superior temporal gyrus. Conclusion: Using a within-subject repeated-measures design, we found neural responses to psychosocial stress to be stable across menstrual cycle phases. Individual differences in symptom severity may nevertheless be associated with differences in stress-related brain activation.