Youth antisocial behavior strongly associates with conduct problems (CP) and callous-unemotional (CU) traits. While CP has links to broad cognitive impairments, CU traits have specific links with cognitive control and affective theory of mind (ToM) difficulties. Evidence suggests cognitive control limitations impact affective processing in ToM amongst youth with elevated CU traits. Here we sought to improve on those initial findings by leveraging a randomized dual-task (within-trial) design to replicate and extend prior findings.

In this double-blind, randomized controlled trial, 85 participants (47 % female) were stratified by sex and CU trait severity. The study employed a ToM task with cognitive, affective, and physical conditions, combined with an inhibitory processing task to tax cognitive control. Participants completed single and dual-task trials, counterbalanced to test within-subject effects. Primary hypotheses were tested with both CP and CU traits in the same model using repeated measure mixed effects to examine changes in accuracy and reaction time.

CU traits were uniquely associated with greater impairments in affective ToM under dual-task conditions, reflecting increased difficulty integrating affective information when cognitive demands were increased. CP associated with lower single ToM performance but no change during dual-task trials. Notably, participants resilient to dual-task effects reported fewer antisocial behaviors, even with elevated CU traits.

While appropriately powered for study aims, the sample was underpowered to detect any potential primary and secondary variant interactions on study outcomes.

These findings support a CU trait specific cognitive-affective interaction as a mechanism critical for understanding youth antisocial behavior.

Aerobic exercise improves cognitive functions in older adults with mild cognitive impairment (MCI), while dance, combining music and synchronized movement, offers additional cognitive benefits. Despite music's potential role in enhancing cognitive outcomes, most research on aerobic exercise has not considered the impact of accompanying music. This review compared the effectiveness of aerobic exercise with music, aerobic exercise without music, and dance on cognitive function in adults with MCI. A total of 38 papers from 25 randomized controlled trials (N = 2048) were synthesized. The multilevel meta-analyses showed that compared to the control group, global cognition was improved by aerobic exercise with music (g = 1.2 [0.47, 1.94]), aerobic exercise without music (g = 0.48 [0.18, 0.79]), and dance (g = 0.55 [0.13, 0.96]). Dance also enhanced short-term memory (g = 0.41 [0.24, 0.59]), learning efficiency (g = 0.39 [0.14, 0.65]), and retrieval fluency (g = 0.7 [0.19, 1.22]). Bayesian network meta-analyses indicated that aerobic exercise with music had the highest probability of being the most effective for improving global cognition, executive function, and processing speed. Dance was likely to be the most beneficial for enhancing short-term memory, learning efficiency, and retrieval fluency. This study supports that incorporating music in exercise amplifies the cognitive benefits beyond exercise alone for individuals with MCI. The "Music Exercise Synergy Model" is proposed to explain the cognitive benefits of combining music with exercise. Dance strategically uses music for coordination, offering psychological, social, cognitive, and neurobiological benefits and contributing to the observed enhancements in memory functions.

As is well known, the Turing Test proposes the possibility of distinguishing the behavior of a machine from that of a human being through an experimental session. The Turing Test assesses whether a person asking questions to two different entities, can tell from their answers which of them is the human being and which is the machine. With the progress of Artificial Intelligence, the number of contexts in which the capacities of response of a machine will be indistinguishable from those of a human being is expected to increase rapidly. In order to configure a Turing Test in which it is possible to distinguish human behavior from machine behavior independently from the advances of Artificial Intelligence, at least in the short-medium term, it would be important to base it not on the differences between man and machine in terms of performance and dialogue capacity, but on some specific characteristic of the human mind that cannot be reproduced by the machine even in principle. We studied a new kind of test based on the hypothesis that such characteristic of the human mind exists and can be made experimentally evident. This peculiar characteristic is the emotional content of human cognition and, more specifically, its link with memory enhancement. To validate this hypothesis we recorded the EEG signals of 39 subjects that underwent a specific test and analyzed their signals with a neural network able to label similar signal patterns with similar binary codes. The results showed that, with a statistically significant difference, the test participants more easily recognized images associated in the past with an emotional reaction than those not associated with such a reaction. This distinction in our view is not accessible to a software system, even AI-based, and a Turing Test based on this feature of the mind may make distinguishable human versus machine responses.

Based on the Cognition-Affect-Conation Model, this study explores the role of emotions in the relationship between users' perceptions and intention to continue using recommended news apps. TouTiao (recommended news application with the largest number of registered users in China) was chosen as the research object and a total of 1014 valid questionnaires were collected. The results based on mediation and moderation tests show that algorithm appreciation plays a mediating role among the perceived news value, the perceived recommendation personalization, the perceived recommendation explainability and the continuance usage intention. Algorithm fatigue plays a mediating role among users' perceived information narrowing, perceived content low quality, perceived information overload and continuance usage intention. Privacy concerns negatively moderate the positive effect of algorithm appreciation on continuance usage intention, while positively moderating the negative effect of algorithm fatigue on continuance usage intention. To enhance users' continuance usage intention recommended news apps, it is necessary to pay attention to the two emotional elements of algorithm appreciation and algorithm fatigue, thereby improving user experience, and achieving a win-win situation between the platform and users.

The ventromedial prefrontal cortex (vmPFC) is known as a central hub involved in affective learning from appetitive/aversive stimuli, as demonstrated in numerous studies examining affective stimuli. We used vmPFC-stimulation to test whether the concept of enhanced affective learning applies to enhanced inhibition of risky decisions and overgeneralized fear. Therefore, we modulated vmPFC-excitability noninvasively via transcranial direct current stimulation (tDCS) using excitatory, inhibitory, and sham stimulation. We re-analysed previously published behavioural and magnetoencephalography data trial-wise to test whether improved learning is the mechanism underlying modulated gambling/fear generalization. Following excitatory vs. sham stimulation, participants gambled more rationally and got better at discriminating safe from threatening stimuli, as indicated by interactions between tDCS and gambling/fear stimuli. Three-way interactions with trial-number suggest that these improvements developed during the experiment. In contrast, in the inhibitory group, these abilities deteriorated over the paradigm. The neural data dovetailed with behavioural effects, in that neural correlates of modulated learning after stimulation also developed over time. Our results indicate an association between vmPFC activity and the ability to learn from appetitive/aversive stimuli. As impaired affective learning is a driving mechanism in mental disorders, these findings identify excitatory vmPFC-tDCS as a potential treatment, especially in combination with psychotherapy.

Cardiovascular responses to psychological stressors have been separately associated with preclinical atherosclerosis and hemodynamic brain activity patterns across different studies and cohorts; however, what has not been established is whether cardiovascular stress responses reliably link indicators of stressor-evoked brain activity and preclinical atherosclerosis that have been measured in the same individuals. Accordingly, the present study used cross-validation and predictive modeling to test for the first time whether stressor-evoked systolic blood pressure responses statistically mediated the association between concurrently measured brain activity and a vascular marker of preclinical atherosclerosis in the carotid arteries.

Six hundred twenty-four midlife adults (aged 28-56 years, 54.97% women) from 2 different cohorts underwent 2 information-conflict functional magnetic resonance imaging tasks, with concurrent systolic blood pressure measures collected. Carotid artery intima-media thickness was measured by ultrasonography. A mediation framework that included harmonization, cross-validation, and penalized principal component regression was then used. Brain areas where functional magnetic resonance imaging activity exhibited reliable direct and indirect effects were identified through bootstrapping. Sensitivity analysis further tested the robustness of findings after accounting for prevailing levels of cardiovascular disease risk and brain imaging data quality. Task-averaged patterns of functional magnetic resonance imaging activity across distributed brain areas exhibited a generalizable association with carotid artery intima-media thickness, which was reliably mediated by an area under the curve measure of aggregate systolic blood pressure reactivity. Importantly, this effect held in sensitivity analyses. Implicated brain areas in this mediation included the ventromedial prefrontal cortex, anterior cingulate cortex, insula, and amygdala.

These novel findings support a link between stressor-evoked brain activity and preclinical atherosclerosis, which is accounted for by individual differences in corresponding levels of stressor-evoked cardiovascular reactivity.

The mechanisms linking early-life adversity with psychopathology over the life-course are complex. In this prospective study, we collectively examined cognitive, affective, and developmental mediators previously found to individually link childhood threat and deprivation experiences to adolescent psychopathology to identify the most potent mechanisms.

Data came from a community sample of 227 children (mean child age 11.5 ± 0.5 years, 48.5% female) from the Seattle metro area with recruitment designed to reflect diversity in family income. Candidate mechanisms included self-rated pubertal development and task-measured attention bias to threat, emotion regulation, theory of mind, fear learning, inhibitory control, language ability, reasoning, and reward sensitivity. Using a high-dimensional mediation approach, we determined which mediating pathways linking threat and deprivation to psychopathology persisted after controlling for all candidate mechanisms associated with psychopathology. Models additionally controlled for the child's age, sex, early-childhood emotional and behavioral symptoms, poverty, and maternal depression.

Blunted reward sensitivity mediated the prospective relationship between threat and internalizing psychopathology, explaining 17.25% (95% CI 1.08%, 69.96%) of this association. Advanced pubertal development was associated with increases in internalizing and externalizing symptoms (standardized associations of 0.16 (95% CI 0.03, 0.29) and 0.17 (95% CI 0.05, 0.29), respectively), but not with adversity. Although deprivation was strongly related to psychopathology, no mechanisms were empirically identified.

In a well-characterized community sample, we isolated reward sensitivity as a robust mediator of the prospective association between early-life threat and adolescent internalizing psychopathology. Interventions aimed at bolstering reward sensitivity may mitigate the impact of early-life threat experiences on internalizing problems.

Negative life events (NLEs) have been shown to perturb neurodevelopment and are correlated with poor mental health outcomes in adolescence, the most common period of psychopathology onset. Emotion regulation is a critical component of psychological response to NLEs and interacts, neurobiologically and behaviorally, with working memory. This study leveraged an emotional n-back task to examine how NLEs influence emotion- and working memory-related brain activation using data from 2150 youth in the Adolescent Brain Cognitive Development (ABCD) Study. Greater incidence of NLEs was associated with less activation in the amygdala and more pronounced deactivation in other limbic and frontal brain regions previously implicated in emotion-related cognition; however, this association was present only during emotion processing conditions of the task. While NLEs were not significantly associated with task performance in the final sample, behavioural analyses including youth excluded for low task accuracy and poor neuroimaging data quality showed a significant negative association between NLEs and overall task performance. While behavioural findings across the entire sample support prior work, somewhat incongruent with prior literature, imaging results may suggest that during early adolescence the effects of negative experiences on patterns of neural activation are specific to contexts necessitating emotion processing.

Neuroticism (NT) is a fundamental personality trait and a major risk factor for both the onset and persistence of depression and anxiety disorders. Although NT involves alterations in emotion-cognition interaction, its precise neural mechanism remains insufficiently understood. Leveraging the word-face Stroop task, we examined neural circuits engaged during emotional conflict using a relatively large sample that exhibited a wide range of NT levels. Generalized psychophysiological interaction (gPPI) analyses revealed that individuals with high NT were characterized by decreased functional connectivity between the anterior midcingulate cortex (aMCC) and both the left dorsolateral prefrontal cortex (dlPFC) and the left amygdala. None of these regions showed modulated brain activation by NT. Our findings suggest that the neural substrates of NT can be better characterized by reduced top-down aMCC-amygdala regulation as well as inefficient communication within the dorsal cognitive system (aMCC-dlPFC), rather than changes in brain activation in isolated regions. These observations offer valuable insights into the neural markers of vulnerability to mood and anxiety disorders.

Whether and how traumatic brain injury (TBI) impacts ageing in the decades post-injury remains a matter of debate, partly due to a lack of controlled studies. This study examined the long-term impact of TBI on cognition and wellbeing in middle-aged and older adults and explored the relationship between age, cognition, and wellbeing, compared with a non-TBI control group. Cross-sectional data from 143 participants aged ≥40 with moderate-severe TBI (6-33 years post-injury; mean age 59.64) were compared with 71 non-TBI controls (mean age 62.10) group matched on age, gender, and premorbid IQ. Individuals with significant confounding comorbidities were excluded. A battery of neuropsychological tests and wellbeing measures (emotional distress, sleep, health-related quality of life [HRQoL]) was administered. Older age and TBI were each independently associated with poorer cognition across multiple domains (p < 0.05). The relationship between verbal learning and memory impairment post-TBI differed between age groups: individuals with TBI in their 40s-60s performed significantly worse than same-aged controls on verbal story acquisition (B = 0.09, p = 0.040, 95% confidence interval [CI] [0.004, 0.17]) and recall (B = 0.12, p = 0.009, 95% CI [0.03, 0.21]), and verbal wordlist recall (B = 0.11, p = 0.007, 95% CI [0.03, 0.19]). In comparison, no significant group differences in verbal memory emerged for ages 70-90. The TBI group reported greater emotional distress (B = 3.55, p < 0.001, 95% CI [1.73, 5.37]), poorer sleep quality (B = 1.07, p = 0.016, 95% CI [0.20, 1.94]), and poorer physical HRQoL (B = -4.26, p = 0.003, 95% CI [-7.08, -1.43]) than controls at all ages. Poorer physical HRQoL was related to poorer cognition post-TBI (p < 0.05). Our results challenge the notion that TBI exacerbates ageing. Moderate-severe TBI resulted in significant long-term impairments in cognition and wellbeing, with verbal learning and memory more impaired during middle-adulthood but not older adulthood compared to controls. TBI was not associated with changes to wellbeing with ageing. Intervention for verbal memory deficits in middle-aged adults with TBI is important, along with wider long-term supports for cognition, wellbeing, and activity participation in all individuals with TBI.

Early mathematical and vocabulary skills serve as critical foundations for academic success, yet the mechanisms underlying their development remain complex. This study examines the role of parents' education, children's attentional control, and learning approaches as predictors of kindergarteners' mathematics and vocabulary performance. Using a sample of 149 children aged 60-72 months in Shanghai, China, we conducted a path analysis to explore direct and indirect relationships among these factors. Findings indicate that parental education indirectly predicts math ability through children's learning approaches and attentional control, emphasizing the role of both cognitive and behavioral pathways. Conversely, vocabulary development is directly influenced by parental education and learning approaches, suggesting distinct developmental trajectories for math and language acquisition. These results highlight the interconnected nature of cognitive, behavioral, and environmental influences on early academic performance. Implications for early childhood education emphasize the need for targeted interventions that not only engage parents in fostering language-rich and cognitively stimulating environments but also support children's motivation, persistence, and attentional capacities.

The review explores the complex interplay between brain structures and their associated functions, presenting a diversity of hierarchical models that enhances our understanding of these relationships. Central to this approach are structure-function flow diagrams, which offer a visual representation of how specific neuroanatomical structures are linked to their functional roles. These diagrams are instrumental in mapping the intricate connections between different brain regions, providing a clearer understanding of how functions emerge from the underlying neural architecture. The study details innovative attempts to develop new functional hierarchies that integrate structural and functional data. These efforts leverage recent advancements in neuroimaging techniques such as fMRI, EEG, MEG, and PET, as well as computational models that simulate neural dynamics. By combining these approaches, the study seeks to create a more refined and dynamic hierarchy that can accommodate the brain's complexity, including its capacity for plasticity and adaptation. A significant focus is placed on the overlap of structures and functions within the brain. The manuscript acknowledges that many brain regions are multifunctional, contributing to different cognitive and behavioral processes depending on the context. This overlap highlights the need for a flexible, non-linear hierarchy that can capture the brain's intricate functional landscape. Moreover, the study examines the interdependence of these functions, emphasizing how the loss or impairment of one function can impact others. Another crucial aspect discussed is the brain's ability to compensate for functional deficits following neurological diseases or injuries. The investigation explores how the brain reorganizes itself, often through the recruitment of alternative neural pathways or the enhancement of existing ones, to maintain functionality despite structural damage. This compensatory mechanism underscores the brain's remarkable plasticity, demonstrating its ability to adapt and reconfigure itself in response to injury, thereby ensuring the continuation of essential functions. In conclusion, the study presents a system of brain functions that integrates structural, functional, and dynamic perspectives. It offers a robust framework for understanding how the brain's complex network of structures supports a wide range of cognitive and behavioral functions, with significant implications for both basic neuroscience and clinical applications.

The neural bases of autism are poorly understood at the molecular level, but evidence from animal models, genetics, post-mortem studies, and single-gene disorders implicate synaptopathology. Here, we use positron emission tomography (PET) to assess the density of synapses with synaptic vesicle glycoprotein 2A (SV2A) in autistic adults using 11C-UCB-J. Twelve autistic (mean (SD) age 25 (4) years; six males), and twenty demographically matched non-autistic individuals (26 (3) years; eleven males) participated in a 11C-UCB-J PET scan. Binding potential, BPND, was the primary outcome measure and computed with the centrum semiovale as the reference region. Partial volume correction with Iterative Yang was applied to control for possible volumetric differences. Mixed-model statistics were calculated for between-group differences. Relationships to clinical characteristics were evaluated based on clinician ratings of autistic features. Whole cortex synaptic density was 17% lower in the autism group (p = 0.01). All brain regions in autism had lower 11C-UCB-J BPND compared to non-autistic participants. This effect was evident in all brain regions implicated in autism. Significant differences were observed across multiple individual regions, including the prefrontal cortex (-15%, p = 0.02), with differences most pronounced in gray matter (p < 0.0001). Synaptic density was significantly associated with clinical measures across the whole cortex (r = 0.67, p = 0.02) and multiple regions (rs = -0.58 to -0.82, ps = 0.05 to <0.01). The first in vivo investigation of synaptic density in autism with PET reveals pervasive and large-scale lower density in the cortex and across multiple brain areas. Synaptic density also correlated with clinical features, such that a greater number of autistic features were associated with lower synaptic density. These results indicate that brain-wide synaptic density may represent an as-yet-undiscovered molecular basis for the clinical phenotype of autism and associated pervasive alterations across a diversity of neural processes.

Emotions are known to influence cognitive performance, particularly working memory (WM) in both its aspects, processing, and maintenance. One explanatory mechanism might be that negative stimuli capture attentional resources, leaving fewer resources for attentional maintenance and processing of information in WM. However, this attentional capture was only investigated using WM tasks in which participants were explicitly asked to process negative items. The aim of this paper was to determine whether explicit processing of emotional stimuli is necessary to impair WM performance, or if their mere presence is enough to capture attention. For this purpose, participants performed a complex span task in which they alternated between memorizing a series of neutral words and processing either emotional images or neutral ones. In Experiment 1, participants were instructed to explicitly process emotional images, whereas in Experiment 2, emotional images were presented without any processing being required. In both experiments, we observed a decrease in memory performance when the images were negative compared to neutral. Whether or not voluntary processing is involved, emotional images seem to capture attentional resources, which in turn leads to a decline in memory performance. These results were discussed in relation to attentional theories and the influence of emotion on the specific mechanisms of WM.

Childhood epilepsy is frequently associated with neurobehavioral comorbidities such as depression, anxiety, cognitive impairments, and social dysfunction, as revealed by both clinical and experimental studies. Despite extensive neurophysiological research, behavioral studies in developing animals remain limited and underreported. Here, we review the behavioral impact of early-life seizures (ELSs) in commonly used rat models in developmental studies. We outline suitable tests and provide guidance on how traditional tests should be adapted and interpreted in this context. Finally, we examine factors influencing behavioral analysis in developmental studies, exploring confounding variables and offering strategies to minimize their impact.

The aim of the present research was to examine the role of affective information in the functioning of attentional networks in individuals with high vs. low trait or state anxiety. Previous studies suggest that anxiety can influence attentional processes, but the impact of affective information, such as alerting emotional stimuli, on these attentional networks remains unclear.

We conducted a set of experiments using negative or neutral faces as alerting stimuli, presented either alone or together with a neutral sound, within a modified version of the Attention Network Test-Interactions (ANT-I). Additionally, data from previous experiments with similar anxiety groups and without affective manipulations of alertness were analyzed for comparative insights (378 participants in total).

Results showed three main effects on the functioning of attentional networks when affective alerting signals were introduced: (1) the alertness effect is increased, (2) the interference effect is increased, and (3) the orienting effect is decreased. These effects occurred regardless of the valence of the alerting stimuli on a given trial. Importantly, the presence of affective information on some trials eliminated the group differences regarding the functioning of the attentional networks that are usually found when no affective information is presented. Specifically, the larger interference effect commonly observed in individuals with high trait-anxiety and the larger alertness and orienting effects seen in those with high state-anxiety, disappeared when emotional alerting stimuli were included.

The findings suggest that emotional information can significantly impact the functioning of attentional networks, particularly in relation to anxiety. The presence of affective stimuli seems to modulate attentional biases associated with anxiety, potentially neutralizing the usual effects seen in individuals with high trait or state anxiety. The role of affective information on the functioning of the attentional networks is discussed within the framework of anxiety and attention.

Despite growing industrialization, the cognitive and psychological impacts of construction noise on workers remain inadequately addressed in empirical research. This study examines the impact of different noise types and intensities on the cognitive performance and learning efficiency of construction workers, using electroencephalogram (EEG) and behavioral data. Specifically, it analyzes the effects of complex noise and steady noise on workers' attention, mental workload, mental fatigue, and mental stress. The results indicate that complex noise significantly reduces learning efficiency, notably impairing accuracy and reaction time relative to steady noise. This adverse effect is attributed to the unpredictability and variability of complex noise, which disrupts workers' cognitive processing and heightens mental fatigue. In contrast, although steady noise does not significantly impact mental workload, it induces greater mental fatigue and mental stress than complex noise, especially at high noise levels. The findings also reveal that workers develop some level of adaptation to continuous noise, mitigating its overall impact on learning efficiency. However, elevated noise levels, regardless of type, consistently lead to significant declines in attention and increases in mental stress and mental fatigue. This research makes an original contribution by providing evidence-based insights into the interaction between noise characteristics and worker cognition, offering practical implications for targeted noise management strategies to improve learning efficiency and well-being in construction environments.

Efficient treatment of temporal lobe epilepsy (TLE) remains challenging due to limited understanding of cellular and network changes and the interference of novel antiepileptic drugs (AEDs) with tissue reorganisation. This study compared the effects of brivaracetam and levetiracetam on histological alterations in key brain regions of the epileptic circuitry, namely, the hippocampus, amygdala, piriform cortex (PC), endopiriform nucleus (EPN) and paraventricular thalamic nucleus (PVT), using the kainic acid (KA) rat model of TLE. Male Wistar rats were assigned to sham-operated (SHAM), epileptic (EPI), brivaracetam- (BRV-EPI) and levetiracetam-treated (LEV-EPI) epileptic groups. Epileptic groups received KA in the right lateral ventricle, which induced status epilepticus followed by a 3-week recovery and latent period. Rats then underwent 3 weeks of oral brivaracetam, levetiracetam or placebo treatment with continuous video monitoring for seizure analysis. Subsequently, triple fluorescent immunolabeling assessed microglial, astrocytic, and neuronal changes. The results showed a drastic increase in microglia density in the EPI and BRV-EPI groups compared to control and LEV-EPI. The BRV-EPI group displayed a significantly higher microglia density than SHAM and EPI groups in the right CA1, CA3 and left CA1 regions, bilateral amygdalae, EPN, PVT and left PC. Astrocyte density was significantly elevated in hippocampal regions of the BRV-EPI group, while neuronal density decreased. Furthermore, brivaracetam did not reduce seizure activity in this disease phase. Significance: Brivaracetam treatment increased microglial activation under epileptic conditions in vivo in all examined brain-regions participating in the epileptic circuitry, in contrast to the effects of levetiracetam, highlighting differences in AED-induced histological alterations.

Gelotophobia, the fear of being laughed at, is characterized by heightened sensitivity to ridicule and a tendency to perceive laughter in social situations as mocking. Resting-state functional magnetic resonance imaging (rs-fMRI) acquires brain functional connectivity while the individual remains at rest, without engaging in specific tasks. Recent studies have investigated task-based fMRI and white matter in gelotophobes; however, the resting-state functional connectivity (rsFC) in this group remains unclear. This study aimed to examine differences in rsFC between gelotophobes and non-gelotophobes, to provide insights into the neural networks underlying gelotophobia. Using a seed-based correlation approach, the present study analyzed rsFC in three key networks: the limbic system, default mode network (DMN), and executive control network (ECN). Compared to non-gelotophobes, gelotophobes exhibited significantly stronger amygdala-putamen connectivity within the limbic system, suggesting heightened sensitivity to social cues and altered processing of fear. Within the DMN, gelotophobes demonstrated stronger precuneus-temporoparietal junction (TPJ) and posterior cingulate cortex-TPJ functional connectivity, implying increased self-awareness and vigilance toward social evaluation. In the ECN, enhanced connectivity between the superior frontal gyrus and supplementary motor area in gelotophobes may reflect heightened attention to social cues. Notably, while individuals with gelotophobia exhibited greater amygdala-putamen functional connectivity, controls showed stronger amygdala-supplementary motor area connectivity. These distinct connectivity patterns across the limbic system, DMN, and ECN provide new insights into the neural basis of gelotophobia and its associated heightened sensitivity to social evaluation.

How does the brain support 'wellbeing'? Because it is a multidimensional construct, it is likely the product of multiple co-active brain networks that vary across individuals. This is perhaps why prior neuroimaging studies have found inconsistent anatomical associations with wellbeing. Furthermore, these used 'laboratory-style' or 'resting-state' methods not amenable to finding manifold networks. To address these issues, we had participants watch a full-length romantic comedy-drama film during functional magnetic resonance imaging. We hypothesised that individual differences in wellbeing measured before scanning would be correlated with individual differences in brain networks associated with 'embodied' and 'narrative' self-related processing. Indeed, searchlight spatial inter-participant representational similarity and subsequent analyses revealed seven sets of co-activated networks associated with individual differences in wellbeing. Two were 'embodied self' related, including brain regions associated with autonomic and affective processing. Three sets were 'narrative self' related, involving speech, language, and autobiographical memory-related regions. Finally, two sets of visual-attention-related networks emerged. These results suggest that the neurobiology of wellbeing in the real world is supported by diverse but functionally definable and separable sets of networks. This has implications for psychotherapy where individualised interventions might target, e.g., neuroplasticity in language-related narrative over embodied self or visual-attentional related processes.

Background\Objectives: Solving the secrets of the brain is a significant challenge for researchers. This work aims to contribute to this area by presenting a new explainable feature engineering (XFE) architecture designed to obtain explainable results related to stress and mental performance using electroencephalography (EEG) signals. Materials and Methods: Two EEG datasets were collected to detect mental performance and stress. To achieve classification and explainable results, a new XFE model was developed, incorporating a novel feature extraction function called Cubic Pattern (CubicPat), which generates a three-dimensional feature vector by coding channels. Classification results were obtained using the cumulative weighted iterative neighborhood component analysis (CWINCA) feature selector and the t-algorithm-based k-nearest neighbors (tkNN) classifier. Additionally, explainable results were generated using the CWINCA selector and Directed Lobish (DLob). Results: The CubicPat-based model demonstrated both classification and interpretability. Using 10-fold cross-validation (CV) and leave-one-subject-out (LOSO) CV, the introduced CubicPat-driven model achieved over 95% and 75% classification accuracies, respectively, for both datasets. Conclusions: The interpretable results were obtained by deploying DLob and statistical analysis.

Affect is a complex interplay of behaviour, physiology, cognition and subjective feelings. The James-Lange theory, which posits that affective bodily responses occur first and subsequently shape our affective experiences, has been extensively studied in humans but remains underexplored in non-human animals. This study employs a judgement bias test to explore the relationship between peripheral bodily responses, specifically self-scratching associated with negative affect, and shifts in cognitive information-processing modes (i.e. a 'pessimistic' judgement bias characterized by heightened anticipation of undesirable outcomes) in Japanese macaques (Macaca fuscata). Our findings support the hypothesis that bodily responses precede and influence changes in cognitive modes, demonstrating that self-scratching predicts subsequent pessimistic judgements, but not vice versa. This study provides comparative insights into the biological underpinnings of affect, highlighting that peripheral behaviours can shape cognitive processes in non-human primates. These results have broader implications for understanding the evolutionary continuity and adaptive significance of affective response systems across species.

Preterm birth (PB) is prevalent and associated with structural and functional brain alterations which may affect cognitive and behavioural outcomes, including social development. Facial emotion recognition (FER) is one of the main components of social interaction. PB individuals face distinct FER challenges that may impact social skills. Furthermore, both FER and social skills have shown distinctive developmental trajectories in PB individuals compared to term born controls. This study investigates the association between FER and social skills in PB individuals compared to term-born controls.

To systematically review and meta-analyse relevant literature on the association between FER and social skills and to summarize the reported differences in FER and social skills between PB individuals and term-born controls of similar age.

a systematic search of peer-reviewed and English written studies was performed in MEDLINE, Web of Science and CINAHL, with an additional forward and backward citation search. Eligible studies included any observational study that had a term-born control sample of similar age with reported FER and social skills measures and/or correlations between them. Quality assessment and data extraction was carried out. Correlation coefficients and Hedges' g for FER and social skills were calculated as effect size indexes. Random effects model and subgroup analysis considering gestational age and age at assessment was performed. Results were summarized using forest plots. I2 statistics and Cochran's Q were used to test for heterogeneity.

8 studies were included (PB = 410, controls =337). Only 3 studies explored the correlation between FER and social skills. The review found a higher correlation between FER and social skills in the PB group (Z = 0.18, CI = -0.03, 0.39) compared to controls (Z = 0.11, CI = -0.03, 0.25). FER was significantly lower in PB individuals (overall g = -1.48; 95%IC = -2.46, -0-5), particularly in very preterm and adolescent subgroups.

FER might play a crucial role in the social development of PB individuals compared to those born at term, but existing research in this domain remains limited.

Embodied cognition-the idea that mental states and processes should be understood in relation to one's bodily constitution and interactions with the world-remains a controversial topic within cognitive science. Recently, however, increasing interest in predictive processing theories among proponents and critics of embodiment alike has raised hopes of a reconciliation. This article sets out to appraise the unificatory potential of predictive processing, focusing in particular on embodied formulations of active inference. Our analysis suggests that most active-inference accounts invoke weak, potentially trivial conceptions of embodiment; those making stronger claims do so independently of the theoretical commitments of the active-inference framework. We argue that a more compelling version of embodied active inference can be motivated by adopting a diachronic perspective on the way rhythmic physiological activity shapes neural development in utero. According to this visceral afferent training hypothesis, early-emerging physiological processes are essential not only for supporting the biophysical development of neural structures but also for configuring the cognitive architecture those structures entail. Focusing in particular on the cardiovascular system, we propose three candidate mechanisms through which visceral afferent training might operate: (a) activity-dependent neuronal development, (b) periodic signal modeling, and (c) oscillatory network coordination.

Since several reviews have recently discussed the lateralization of emotions, this chapter will take into account the possible evolutionary meaning of this lateralization. The organization of the chapter will be based on the following steps. I will first propose that emotions must be considered as a complex adaptive system, complementary to the more phylogenetically advanced cognitive system. Second, I will remind historical aspects and consolidated results on the lateralization of emotions. Then I will discuss the phylogenetic aspects of the problem, trying to evaluate if emotional asymmetries concern only humans and some nonhuman primates or are part of a continuum between humans and many phylogenetically distant animal species. After having reviewed various aspects of emotional lateralization across different animal species and (more specifically) in nonhuman primates, I will propose a general model of hemispheric asymmetries in the human brain, based on theoretical models and empiric data. Theoretical models stem from the influence that the presence or the absence of language can have on concomitant hemispheric functions, whereas supporting neuropsychologic data have been gathered in patients with unilateral brain damage.

CU traits, characterized by shallow affect, lack of fear, and absence of remorse, have been moderately associated with childhood maltreatment in a recent meta-analysis. However, the potential impact of brain structures remains undetermined. This paper examines the relationship between callous-unemotional (CU) traits, childhood maltreatment, and amygdala volumes. In this study, we used a region-of-interest (ROI) analysis to explore the interaction between the volumes of the amygdala, childhood maltreatment, and the manifestation of CU traits in adolescents diagnosed with conduct disorder (CD, N = 67), along with a comparison group of healthy-control youths (HCs, N = 89). The ROI analysis revealed no significant group differences in the bilateral amygdalar volumes. Significant positive correlation was discovered between all forms of child maltreatment (except for physical neglect) and CU traits across subjects. But the interaction of physical abuse and amygdala volumes was only significant within CD patients. Notably, a sensitivity analysis suggested that gender significantly influences these findings. These results contribute critical insights into the etiology of CU traits, emphasizing the need for customized clinical assessment tools and intervention strategies.

Positive anticipatory experiences are key to daily well-being. However, the brain's functional architecture underlying real-world positive anticipatory experiences and well-being remains unexplored. In the present study, we combined an ecological momentary assessment and resting-state functional neuroimaging to identify the neural predictors of real-world positive anticipatory experiences and explore their relationships with subjective well-being (SWB). With a model-based approach, we quantified participants' accuracy in predicting positive events and the degree to which participants' affective states were influenced by the positive anticipation. We found that individuals with higher accuracy in predicting upcoming positive events showed greater SWB, and this relationship was mediated by greater positive anticipatory feelings. Importantly, functional connectivity of the dorsal and ventral striatal-hippocampal networks significantly predicted the accuracy and positive anticipatory feelings, respectively. These functional networks were further predictive of SWB. Our findings provide novel and ecologically valid evidence that the interaction between neural systems for reward-processing and memory plays an important role in real-life positive anticipatory experiences and everyday SWB.

EEG-based emotion recognition uses high-level information from neural activities to predict emotional responses in subjects. However, this information is sparsely distributed in frequency, time, and spatial domains and varied across subjects. To address these challenges in emotion recognition, we propose a novel neural network model named Temporal-Spectral Graph Convolutional Network (TSGCN). To capture high-level information distributed in time, spatial, and frequency domains, TSGCN considers both neural oscillation changes in different time windows and topological structures between different brain regions. Specifically, a Minimum Category Confusion (MCC) loss is used in TSGCN to reduce the inconsistencies between subjective ratings and predefined labels. In addition, to improve the generalization of TSGCN on cross-subject variation, we propose Deep and Shallow feature Dynamic Adversarial Learning (DSDAL) to calculate the distance between the source domain and the target domain. Extensive experiments were conducted on public datasets to demonstrate that TSGCN outperforms state-of-the-art methods in EEG-based emotion recognition. Ablation studies show that the mixed neural networks and our proposed methods in TSGCN significantly contribute to its high performance and robustness. Detailed investigations further provide the effectiveness of TSGCN in addressing the challenges in emotion recognition.

Affective brain-computer interface is an important part of realizing emotional human-computer interaction. However, existing objective individual differences among subjects significantly hinder the application of electroencephalography (EEG) emotion recognition. Existing methods still lack the complete extraction of subject-invariant representations for EEG and the ability to fuse valuable information from multiple subjects to facilitate the emotion recognition of the target subject. To address the above challenges, we propose a Multi-source Selective Graph Domain Adaptation Network (MSGDAN), which can better utilize data from different source subjects and perform more robust emotion recognition on the target subject. The proposed network extracts and selects the individual information specific to each subject, where public information refers to subject-invariant components from multi-source subjects. Moreover, the graph domain adaptation network captures both functional connectivity and regional states of the brain via a dynamic graph network and then integrates graph domain adaptation to ensure the invariance of both functional connectivity and regional states. To evaluate our method, we conduct cross-subject emotion recognition experiments on the SEED, SEED-IV, and DEAP datasets. The results demonstrate that the MSGDAN has superior classification performance.

The Default Mode Network (DMN) is increasingly recognized as a key hub where cognitive and emotional processes converge, particularly through its role in integrating episodic memory and emotional experiences. The current mini-review highlights three distinct patterns of brain activity within the DMN associated with emotional processing. The first pattern indicates that, while the ventromedial prefrontal cortex (vmPFC) encodes the pleasantness of memories, other DMN regions support episodic content construction. The second pattern suggests the interaction between the DMN and regions outside of it, such as the amygdala and anterior insula, which contribute to the emotional significance of memories. The third pattern shows widespread activation across the DMN for both pleasant and unpleasant events, challenging the notion of a modular organization of cognition and emotion. The first two patterns appear to result from methodological choices in some studies, while a non-modular view of cognition and emotion in the DMN has recently emerged as the most plausible. These findings support the integration of cognitive and emotional processes within the DMN, suggesting that it plays a fundamental role in constructing coherent and emotionally charged narratives.

Interventions addressing cognitive and emotional difficulties after acquired brain injury (ABI) often focus on specific impairments in cognition or mood. These interventions can be effective at addressing their specific target, but do not routinely translate to improved activity and participation outcomes. Approaches that combine cognitive and psychological rehabilitation are increasingly popular; however, to date, there have been no systematic evaluations of their efficacy. We conducted a systematic review of five databases, searching for randomised controlled trials of adults with diagnoses of non-progressive ABI at least 1-month post injury, in receipt of interventions that combined cognitive and psychological components compared to any control. Screening and data extraction were evaluated by two independent reviewers using a standardised protocol. Effect sizes were calculated using Hedge's g and estimated using a random-effects model. Risk of bias was assessed using the PEDro-P rating system, and quality of evidence evaluated using the grading of recommendation, assessment, development and evaluation (GRADE) approach. Thirteen studies were included in the meta-analysis (n = 684). There was an overall small-to-medium effect (g = 0.42) for combined interventions compared with controls, with gains maintained at 6-month follow-up. Improvements were observed at the level of impairment, activity, participation and quality of life. GRADE ratings and analyses investigating sensitivity, heterogeneity and publication bias indicated that these effects were robust. No a priori variables moderated these effects. Overall, this review provides strong evidence that combined cognitive and psychological interventions create meaningful change in the lives of people with ABI.

The COVID-19 pandemic has led to long-term neurological and psychological effects, including sleep disturbances. While prior studies have identified altered brain function post-COVID-19, specific functional connectivity (FC) patterns predicting sleep quality after recovery remain unclear. This study aims to identify FC patterns associated with sleep quality two months after the first negative COVID-19 antigen test.

Using a connectome-based predictive modeling (CPM) approach, we identified the functional connectome regulating sleep quality based on a 164-region parcellation. Significant connections were analyzed using mediation models to examine their role in the relationship between anxiety, depression, and sleep.

FC between the right cerebellar peduncle and the left VIII of the cerebellum, and between the left middle temporal pole (MTP) and left ventral tegmental area (VTA), significantly predicted Pittsburgh Sleep Quality Index (PSQI) scores for sleep disturbances two months post-recovery (q2 = 0.059, MSE = 0.154, p = 0.017, r = 0.350). Mediation analysis showed a significant indirect effect of FC between the left MTP and VTA on the relationship between generalized anxiety and sleep disturbances (indirect effect = 0.013, 95% CI = [0.002, 0.03], pfdr <0.05). FC between the right dorsal raphe nucleus and ipsilateral regions-including occipital, parietal, and temporal areas-predicted PSQI scores for daytime dysfunction (q2 = 0.092, MSE = 0.678, p = 0.025, r = 0.342).

Post-COVID-19 brain connectivity and anxiety predict sleep quality. These findings highlight the potential for targeted therapeutic strategies to improve sleep and identify patients at risk for prolonged disturbances through FC biomarkers.

The deleterious health impacts of polycyclic aromatic hydrocarbons (PAHs) on the population have been extensively substantiated and acknowledged. Mounting evidence underscores that PAH exposure is closely linked to an elevated risk of mental disorders, particularly in populations experiencing occupational and high-level exposure. In this study, we aimed to investigate the mechanisms underlying anxiety-like behaviors induced by different dosages of PAHs, with a concentrated focus on brain region-specific metabolic alterations in mice using various metabolomics approaches. Male C57BL/6 mice were exposed to benzo[a]pyrene (B[a]P), a typical PAH, through gavage at occupational exposure and EPA toxicologically relevant dosages (2.0 and 20.0 mg/kg/day) for 21 days, respectively. Behavioral assessments revealed that occupational exposure to B[a]P induced anxiety-like behaviors in C57BL/6 mice. Meanwhile, elevated serum norepinephrine and corticotropin-releasing hormone further confirmed the anxiety-inducing effects of B[a]P exposure. Metabolomics analysis uncovered dysregulation across various metabolic pathways following B[a]P exposure, encompassing brain neurotransmitter, organic acid, amino acid, lipid, fatty acid, and cholesterol. Anxiety levels and lipid metabolic abnormalities were notably exacerbated at the higher dosage, despite being only a 10-fold increase. Of particular significance, a decrease in lysophosphatidic acid (LPA) and lysophosphatidylserine (LPS) emerged as pivotal indicators of B[a]P neurotoxicity. Spatial-resolved metabolomics further demonstrated distinctive lipid and metabolite profiles across different brain subregions after exposure to B[a]P. Remarkably, alterations were specifically observed in the anxiety-related brain regions, such as the hippocampus, cortex, white matter, and thalamus, varying with exposure dosages. These findings underscore the significance of brain metabolic abnormalities in the development of mental disorders triggered by B[a]P exposure and highlight the need for establishing precise exposure limits of B[a]P to safeguard public mental health.

Evidence from animal and human studies demonstrates that cortical regions play a key role in autonomic modulation with a differential role for some brain regions located in the left and right brain hemispheres. Known as autonomic asymmetry, this phenomenon has been demonstrated by clinical observations, by experimental models, and currently by combined neuroimaging and direct recordings of sympathetic nerve activity. Previous studies report peculiar autonomic-mediated cardiovascular alterations following unilateral damage to the left or right insula, a multifunctional key cortical region involved in emotional processing linked to autonomic cardiovascular control and featuring asymmetric characteristics.

Based on clinical studies reporting specific damage to the insular cortex, this review aims to provide an overview of the prognostic significance of unilateral (left or right hemisphere) post-insular stroke cardiac alterations. In addition, we review experimental data aiming to unravel the central mechanisms involved in post-insular stroke cardiovascular complications.

Current clinical and experimental data suggest that stroke of the right insula  can present a worse cardiovascular prognosis.

Despite the growing interest in the nonhuman animal emotionality, we currently know little about the human brain processing of nonconspecific emotional expressions. Here, we characterized the millisecond-scale temporal dynamics of human brain responses to conspecific human and nonconspecific canine emotional facial expressions. Our results revealed generally similar cortical responses to human and dog facial expressions in the occipital cortex during the first 500 ms, temporal cortex at 100-500 ms and parietal cortex at 150-350 ms from the stimulus onset. Responses to dog faces were pronounced at the latencies in temporal cortices corresponding to the time windows of early posterior negativity and late posterior positivity, suggesting attentional engagement to emotionally salient stimuli. We also utilized support vector machine-based classifiers to discriminate between the brain responses to different images. The subject trait-level empathy correlated with the accuracy of classifying the brain responses of aggressive from happy dog faces and happy from neutral human faces. This result likely reflects the attentional enhancement provoked by the subjective ecological salience of the stimuli.

While it is well-established that authentic emotional autobiographical memories elicit physiological responses, research suggests that this elicitation can also occur for fabricated autobiographical memories. Yet challenges arise from awareness discrepancies when considering two research fields: Participants in memory studies may be unaware of producing false memories, while liars are aware of fabricating false events. Hence, in two experiments, we compared the psychophysiological pattern of true autobiographical memories with fabricated memory narratives. Using noninvasive biometric devices to measure heart rate (HR) and skin conductance level (SCL), participants were tasked with recalling both true and fabricated negative and neutral autobiographical experiences in a written (Experiment 1) and oral (Experiment 2) way. While in Experiment 1, no statistically significant differences were detected in participants' physiological responses across different recall types, in Experiment 2 we found higher HR responses during the recollection of true negative memories as compared with true neutral and fabricated memory accounts. These latter findings confirm that negative autobiographical memories might be associated with increased HR responses when they are recalled verbally. Furthermore, they suggest that people's awareness of memory authenticity (i.e., recalling true versus fabricated events) may be linked to corresponding physiological reactions linked to specific recollections.

A fundamental question in the domain of affect and conscious perception is whether the former can impact the latter. Traditionally, perception and affect were conceived as largely independent. Against this backdrop, it was recently argued that the affective valence of a stimulus can modulate the perceptual experience of its sensory features. An alternative hypothesis is that perceptual experiences have a valenced aspect over and above their sensory aspects, with these two aspects interacting and comprising integral perceptual dimensions. To test this, we carried out two experiments deploying Wendell Garner's speeded classification paradigm to decide whether visual brightness and affective valence are separable or integral dimensions.We found Garner interference, documenting that brightness and valence are integral dimensions. We did not observe effects of congruity - responses to bright positive stimuli were not faster than to bright negative stimuli - providing no support for affect induced changes in the perception of brightness.

We studied the role of time in the experience of boredom and its relationship with various psychological states using virtual reality. Sixty-six participants visited nine virtual waiting rooms and evaluated their perception of time and psychological experiences, including boredom, exhaustion, restlessness, amotivation, frustration, anger, unhappiness, spontaneous and deliberate mind-wandering, fantasy, and absorption. Results confirmed the relationship between boredom and time perception, showing that the higher the levels of boredom, the slower time seems to pass. However, manipulating time-related information via a slower/faster ticking clock did not affect boredom. We also found that boredom increased as participants progressed through the nine virtual rooms, and its affective characterisation over time remained stable, while its cognitive characterisation fluctuated. While boredom was consistently associated with exhaustion, restlessness, amotivation, and frustration, its relationship with fantasy, absorption, spontaneous mind-wandering and deliberate mind-wandering, evolved over time. These findings provide novel insights into the intricate and differentiated cognitive and affective consequences of being bored.

Adverse childhood experiences (ACEs) are strongly associated with impaired cognitive control, yet research on ACEs' effects across cognitive control domains-working memory, cognitive flexibility, and inhibitory control-remains sparse. This systematic review and meta-analysis evaluated the overall impact of ACEs on each of these cognitive control domains and explored moderating factors such as age, gender, cognitive control paradigms, and ACEs subtypes based on the dimensional model of adversity and psychopathology. A database search was conducted in SCOPUS, MedLine, PsycINFO, and Web of Science. Only prospective studies were included to ensure temporal order inferences, with at least two data collection points, assessing ACEs at baseline (T1) and cognitive control during follow-up (T2). Thirty-two studies (N = 26,863) producing 124 effect sizes were analyzed. Three-level meta-analyses revealed small-to-medium negative associations between ACEs and overall cognitive control (g = -0.32), and in each domain: working memory (g = -0.28), cognitive flexibility (g = -0.28), and inhibitory control (g = -0.32). The negative associations between ACEs and cognitive control were consistent across age, gender, and cognitive control paradigms. ACEs subtypes moderated the association with cognitive flexibility (p = .04) but not working memory or inhibitory control. Specifically, the deprivation subtype exhibited a stronger negative association with cognitive flexibility compared to threat and threat-and-deprivation subtypes. These findings highlight the pervasive negative impact of ACEs on cognitive control across ages and emphasize the need for targeted interventions. Implications, current gaps, limitations in research, and future study recommendations are discussed.

Across the adult lifespan, emotion regulation ability remains stable or even improves. The corresponding effects, however, in the emotion regulation networks in the brain remain underexplored. By utilizing large-scale datasets such as the Human Connectome Project (HCP-Aging, N=621, 349 females) and Cambridge Centre for Ageing and Neuroscience (Cam-CAN, N=333, 155 females), we were able to investigate how emotion regulation networks' functional topography differs across the entire adult lifespan. Based on previous meta-analytic work that identified four large-scale functional brain networks involved in emotion generation and regulation, we investigated the association between the integration of these emotion regulation networks and measures of mental wellbeing with age in the HCP-Aging dataset. We found an increase in the functional integration of the emotional control network among older adults, which was replicated using the Cam-CAN data set. Further we found that the network that is mediating emotion generative and regulative processes, and carries our introspective and reflective functions, is less integrated in higher age. Our study highlights the importance of identifying topological changes in the functional emotion network architecture across the lifespan, as it allows for a better understanding of functional brain network changes that accompany emotional aging.

Understanding the mechanisms behind the interaction of empathy for pain (EfP) and working memory (WM), particularly how they are influenced by social factors like perceived social distance (SD), is vital for comprehending how humans dynamically adapt to the complexities of social life. However, there is very little known about these mechanisms. Accordingly, we recruited 116 healthy participants to investigate the bidirectional influence and electrophysiological responses between WM and EfP, including the role of SD. Our research results revealed that the interaction between WM load and SD significantly influenced the processing of EfP. Specifically, high WM load and distant SD facilitated early processing of EfP. Conversely, low WM load and close SD promoted late processing of EfP. Furthermore, the interaction between EfP and SD significantly influenced the performance of ongoing WM tasks. Specifically, the kin's pain, compared to kin's nonpain, improved the participant's performance on low-load WM tasks; however, it diminished the participant's performance on tasks with high WM load. Overall, these results provide evidence at both behavioral and neural levels for the mutual influence of WM and EfP during the same temporal process, and SD emerged as a crucial moderating factor during these mutual influences.

Attentional paradigm can have a significant influence on the processing and experience of positive and negative emotions. Attentional mechanism refers to the tendency to selectively attend to a particular stimulus while ignoring others. In the context of emotions, individuals may exhibit attentional biases towards either positive or negative emotional stimuli. By directing attention towards a specific stimulus, individuals can modulate their emotional responses. When attention is directed towards negative or threatening stimuli, it can intensify negative emotions such as fear, sadness, anger and anxiety. Conversely, directing attention away from negative stimuli can reduce emotional reactivity and promote emotional regulation. Similarly, paying attention to positive stimuli can amplify positive emotions and facilitate positive emotional experiences. Attentional paradigms are also responsible for cognitive appraisal of emotional stimuli. The allocation of attention can shape how emotional stimuli are evaluated and categorized, influencing the subsequent emotional response. Since the relationship between attention and emotions is complex and can vary across individuals and contexts, it is important to understand the underlying cognitive neural dynamics of the same. Custom rank allocation model (CRAM) was used to decode the underlying neural dynamics of cognitive and emotional resource sharing through the non-significant EEG channels. During the main effect of global-local (GL), CRAM ranks and scores indicated that the EEG channels C4, PZ, OZ, and P4 were found to be the most non-significant channels. Similarly, CRAM ranks and scores of the interaction effects between global-local and positive emotion-negative emotion and the interaction effects between global-local and frequent-deviant-equal indicated midline central EEG channels CZ, PZ, FZ and OZ to be the main contributor of the cognitive and emotional resources to others. Understanding the dynamics of attention-emotion conflicts with reference to significant and non-significant channels is important to gain insights into the complex computational interplay between attention and emotion, leading to a deeper understanding of human cognition and emotion regulation.

The online version contains supplementary material available at 10.1007/s11571-024-10106-z.

Aspects of the acute experience induced by the serotonergic psychedelic psilocybin predict symptomatic relief in multiple psychiatric disorders and improved well-being in healthy participants, but whether these therapeutic effects are immediate or are based on memories of the experience is unclear. To examine this, we co-administered psilocybin (25 mg) with the amnestic benzodiazepine midazolam in 8 healthy participants and assayed the subjective quality of, and memory for, the dosing-day experience. We identified a midazolam dose that allowed a conscious psychedelic experience to occur while partially impairing memory for the experience. Furthermore, midazolam dose and memory impairment tended to associate inversely with salience, insight, and well-being induced by psilocybin. These data suggest a role for memory in therapeutically relevant behavioral effects occasioned by psilocybin. Because midazolam blocks memory by blocking cortical neural plasticity, it may also be useful for evaluating the contribution of the pro-neuroplastic properties of psychedelics to their therapeutic activity.