Search Results (683)

Background/Objectives: Fear detection through EEG signals has gained increasing attention due to its applications in affective computing, mental health monitoring, and intelligent safety systems. This systematic review aimed to identify the most effective methods, algorithms, and configurations reported in the literature for detecting fear from EEG signals using artificial intelligence (AI). Methods: Following the PRISMA 2020 methodology, a structured search was conducted using the string (“fear detection” AND “artificial intelligence” OR “machine learning” AND NOT “fnirs OR mri OR ct OR pet OR image”). After applying inclusion and exclusion criteria, 11 relevant studies were selected. Results: The review examined key methodological aspects such as algorithms (e.g., SVM, CNN, Decision Trees), EEG devices (Emotiv, Biosemi), experimental paradigms (videos, interactive games), dominant brainwave bands (beta, gamma, alpha), and electrode placement. Non-linear models, particularly when combined with immersive stimulation, achieved the highest classification accuracy (up to 92%). Beta and gamma frequencies were consistently associated with fear states, while frontotemporal electrode positioning and proprietary datasets further enhanced model performance. Conclusions: EEG-based fear detection using AI demonstrates high potential and rapid growth, offering significant interdisciplinary applications in healthcare, safety systems, and affective computing. Full article

Background/Objectives: The hippocampus is an essential part of the central nervous system (CNS); it plays a significant role in social–cognitive memory processing. Prenatal exposure to valproic acid (VPA) can lead to impaired hippocampal functions. In this study, we evaluated the effect of plumbagin (PLB) as a natural product on spatial learning and memory, neuro-morphological changes, and inflammation levels in a VPA-induced autism model during adolescence. Methods: Pregnant Wistar rats received a single intraperitoneal (i.p.) injection of VPA (600 mg/kg) or saline on gestational day 12.5. The male offspring were then categorized and assigned to five groups: Saline+DMSO-, VPA+DMSO-, and VPA+PLB-treated groups at doses of 0.25, 0.5, or 1 mg/kg. Spatial learning and memory were evaluated using the Morris water maze. Histopathological evaluations of the hippocampus were performed using Nissl and hematoxylin–eosin staining, as well as immunofluorescence. The pro-inflammatory cytokine levels were also quantified by quantitative real-time PCR. Results: The findings revealed that a VPA injection on gestational day 12.5 is associated with cognitive impairments in male pups, including a longer escape latency and traveled distance, as well as decreased time spent in the target quadrant. Treatment with PLB significantly enhanced the cognitive function, reduced dark cells, and ameliorated neuronal–morphological alterations in the hippocampus of VPA-exposed rats. Moreover, PLB was found to reduce astrocyte activation and the expression levels of pro-inflammatory cytokines. Conclusions: These findings suggest that PLB partly mitigates VPA-induced cognitive deficits by ameliorating hippocampal inflammation levels. Full article

Prejudices, particularly those related to social biases, are shaped by various cognitive and sensory mechanisms. This study investigates the interaction between olfactory perception and propensity and implicit or explicit prejudices through three experimental protocols in a metaverse condition. Experiment 1 examines the impact of five different odors on proxemic behavior when interacting with individuals from stigmatized social groups. Experiment 2 integrates electroencephalography (EEG) to analyze the neural correlates of prejudice-related responses to olfactory stimuli. Experiment 3 explores implicit biases through the Implicit Association Test (IAT) in relation to different fragrances, without employing virtual reality. The proposed protocol is expected to demonstrate a significant relationship between olfactory cues, linked to social relationships, and implicit or explicit prejudices, with variations based on individual differences. These insights will contribute to psychological, neuroscientific, and social interventions, offering new perspectives on the unconscious mechanisms of bias formation. Additionally, this study highlights the potential of virtual reality and olfactory stimuli as innovative tools for studying and addressing social biases in controlled environments. Full article

Background/Objectives: The bidirectional selection of the Roman low- (RLA) and Roman high-avoidance (RHA) rat strains for extremely slow vs. very rapid acquisition of the two-way (shuttle-box) avoidance response has generated two divergent phenotypic profiles: RHA rats exhibit a behavioural pattern and gene expression profile in the frontal cortex and hippocampus (HPC) that are relevant to social and attentional/cognitive schizophrenia-linked symptoms; on the other hand, RLA rats display phenotypic traits linked to increased anxiety and sensitivity to stress-induced depression-like behaviours. The present studies aimed to evaluate the enduring and potentially positive effects of neonatal handling-stimulation (NH) on the traits differentiating these two strains of rats. Methods: We evaluated the effects of NH on anxious behaviour, prepulse inhibition of startle (PPI), spatial working memory, and hormone responses to stress in adult rats of both strains. Furthermore, given the proposed involvement of neuronal/synaptic plasticity and neurotrophic factors in the development of anxiety, stress, depression, and schizophrenia-related symptoms, using Western blot (WB) we assessed the effects of NH on the content of brain-derived neurotrophic factor (BDNF), its trkB receptor and Polysialilated-Neural Cell Adhesion Molecule (PSA-NCAM), in the prefrontal cortex (PFC), anterior cingulate cortex (ACg), ventral (vHPC), and dorsal (dHPC) hippocampus of adult rats from both strains. Results: NH increased novelty-induced exploration and reduced anxiety, particularly in RLA rats, attenuated the stress-induced increment in corticosterone and prolactin plasma levels, and improved PPI and spatial working memory in RHA rats. These effects correlated to long-lasting increases of BDNF and PSA-NCAM content in PFC, ACg, and vHPC. Conclusions: Collectively, these findings show enduring and distinct NH effects on neuroendocrine and behavioural and cognitive processes in both rat strains, which may be linked to neuroplastic and synaptic changes in the frontal cortex and/or hippocampus. Full article

Background: Biomechanical and neuromuscular differences between falls and recoveries have been well-studied; however, the cortical correlations remain unclear. Using mobile brain imaging via electroencephalography (EEG), we examined differences in sensorimotor beta frequencies between falls and recoveries during an unpredicted slip in walking. Methods: We recruited 22 young adults (15 female; 18–35 years) who experienced a slip (65 cm) during walking. Raw EEG signals were band-pass filtered, and independent component analysis was performed to remove non-neural sources, eventually three participants were excluded due to excessive artifacts. Peak beta power was extracted from three time-bins: 400 milliseconds pre-, 0–150 milliseconds post and 150–300 milliseconds post-perturbation from the midline (Cz) electrode. A 2 × 3 Analysis of Covariance assessed the interaction between time-bins and group on beta power, followed by Independent and Paired t-tests for between and within-group post hoc comparisons. Results: All participants (n = 19) experienced a balance loss, seven experienced a fall. There was a time × group interaction on beta power (p < 0.05). With no group differences pre-perturbation, participants who experienced a fall exhibited higher beta power during 0–150 milliseconds post-perturbation than those who recovered (p < 0.001). However, there were no group differences in beta power during 150–300 milliseconds post-perturbation. Conclusions: Young adults exhibiting a greater increase in beta power during the early post-perturbation period experienced a fall, suggesting a higher cortical error detection due to a larger mismatch in the expected and ongoing postural state and greater cortical dependence for sensorimotor processing. Our study results provide an overview of the possible cortical governance to modulate slip-fall/recovery outcomes. Full article

Background/Objectives: Sensory attenuation refers to the reduced perceptual intensity of self-generated stimuli and is considered a key marker of the sense of agency. While this phenomenon has been widely documented in individual contexts, less is known about how it operates during cooperative actions. In this study, we adopted a psychophysical approach to investigate sensory attenuation for auditory stimuli in both individual and interactive action contexts and examined the role of empathic traits in shaping the experience of agency. Methods: A two-forced choices perceptual judgement task with auditory stimuli was adopted in healthy participants (n = 57), who judged the loudness of tones generated either by themselves or another person, across individual and cooperative conditions. To control for the factor of gender that might potentially influence prosocial attitudes, only cisgender women were included in this study. Our findings confirmed sensory attenuation for self-generated sounds in cooperative actions. However, contrary to previous reports, we did not observe enhanced attenuation in interactive contexts; instead, other-generated sounds were perceived as louder when embedded in cooperative actions. Notably, higher levels of empathic concern and perspective-taking were associated with reduced sensory attenuation in individual contexts, suggesting that empathy may modulate perceived self–other boundaries in agency experience. Conclusions: These results challenge the view of sensory attenuation as a strict functional signature of self-agency and support a sensorimotor equivalence model, in which social and psychological variables shape the perception of action outcomes. This evidence is also supported by the convergence of neural networks involved in agency, perspective-taking, and empathy. Full article

As climate change continues to endanger a sustainable global condition, a growing literature investigates how to pursue green practices to fight its effects. Individuals are the essential starting point for such bottom-up attempts, with their attitudes towards sustainability driving pro-environmental behaviors (PEBs). Objectives: Based on the available relevant literature, this scoping review aims to delve into the processes underlying people’s sustainable decision-making (SDM) associated with PEBs. Methods: A scientific literature search was performed through (a) an active database search and (b) the identification of studies via reference and citation tracking. Results were screened and selected in Rayyan. Results: Included articles (n = 30) heterogeneously reported cognitive and neural aspects of SDM shaping PEBs. These proved to (a) recruit brain areas involved in mentalizing and moral cognition (likely because of their role in processing the interplay between personal and contextual factors rather than moral considerations in themselves); (b) undergo the same modulatory influences shaping other kinds of prosocial/cooperative behaviors; and (c) include brain areas involved in attentional/monitoring and emotional/motivational processes, alongside those consistently associated with decision-making processes. Conclusions: These results help interpret the available evidence on the neuro-cognitive bases of SDM while focusing on potential interventions to foster better practices and mitigate the adverse repercussions of climate change on human and global health. Full article

Objectives: The objective of this study was to assess the potential existence of shared semantics between linguistic (e.g., reading a sentence) and numerical information (e.g., performing an arithmetic operation). Methods: To evaluate this proposal, we devised a paradigm with blocks of two trials. In the first trial, participants were presented with sentences containing verbs that conveyed either an increase (e.g., “to give”) or a decrease (e.g., “to take away”). In the subsequent trial, participants were required to perform additions (e.g., 61 + 1) and subtractions (e.g., 52 − 4). We hypothesized that addition and subtraction would exhibit shared semantic processing with sentences denoting increase and decrease, respectively, resulting in cross-domain effects. Results: Participants exhibited enhanced speed and accuracy in addition problem-solving when preceded by increase sentences, whereas subtractions were solved with higher accuracy when preceded by decrease sentences. Moreover, these effects were found to be subject to modulation by the complexity of the numerical operation. Conclusions: The findings of this study support the hypothesis that there is a shared semantic processing between language and mathematics. Full article

Background/Objectives: Attention-Deficit Hyperactivity Disorder (ADHD) is an immensely heterogeneous developmental disorder, uniquely impacting each individual. Physical movement is a promising adjunct behavioral treatment that can promote executive functioning in children with ADHD. The current study used neuroimaging and behavioral techniques to investigate the impact of movement during executive functioning on dorsolateral prefrontal cortical (DLPFC) activity and inhibitory control in children with ADHD, with particular focus on key individual difference factors in ADHD, such as subtype, severity, and gender. Methods: Twenty-eight children with ADHD completed a Stroop task while remaining stationary (stationary condition) and while desk cycling (movement condition). Simultaneous functional near-infrared spectroscopy (fNIRS) recorded oxygenated and deoxygenated changes in hemoglobin within the left DLPFC. Participants were categorized into ADHD subtype (hyperactive/impulsive, inattention, combined), ADHD severity (low, moderate, high), and gender (male, female). Results: Those with the hyperactive and combined ADHD subtypes, those with high ADHD severity, and males with ADHD showed greater DLPFC activation when engaging in movement during executive functioning compared to remaining stationary. In contrast, those with the inattentive ADHD subtype, those with low-to-moderate ADHD severity, and females with ADHD showed greater DLPFC activation when remaining stationary during executive functioning compared to engaging in movement. Inhibitory control improved in the stationary condition for females who were predominantly inattentive. Conclusions: This work underscores the importance of considering individual difference factors in ADHD when designing physical activity interventions, as treatment efficacy may vary. Full article

Background/Objectives: With the globalization of companies, the cross-cultural adjustment of expatriates working overseas is becoming an increasingly important topic. However, little research has been carried out on the brain, which is the source of the ability to adapt. Methods: Therefore, we conducted a pilot study on 10 expatriates working for Japanese local subsidiaries in the United States to analyze the relationship between their gray matter volume (GMV) measured by the Gray Matter Brain Healthcare Quotient and their cross-cultural adjustment and lifestyle. Results: As a result, in a partial correlation analysis controlled for demographic variables, there was a significant correlation between whole-brain GMV and general adjustment. A relationship was also shown between the local GMV of the default mode network and central executive network and interaction adjustment. Conclusions: This is the first pilot study to clarify the relationship between expatriates’ brain structure and cross-cultural adjustment, suggesting the effectiveness of a biological approach in cross-cultural adjustment research. Full article

Background: Intimate partner femicide (IPF) is the most common form of femicide and a severe expression of gender-based violence, highlighting persistent gender inequality worldwide. Addressing this major public health concern requires a comprehensive synthesis of existing evidence to inform prevention strategies. This review aims to identify risk factors for IPF and explore the demographic, behavioral, and psychosocial characteristics of victims and perpetrators. Methods: A narrative review was conducted using a systematic literature search in Scopus, Web of Science, and PubMed, following PRISMA guidelines. Studies were selected based on predefined inclusion and exclusion criteria. Out of 1200 identified records, 51 met the criteria and were included. Data extraction and analysis were conducted independently by two reviewers. Findings are presented narratively. Results: The review identified multiple risk factors for IPF. Victims were more likely to be married, with a history of psychological and physical abuse as well as substance use. Perpetrators were typically older, with higher rates of unemployment, psychiatric disorders, and substance use. Common precipitating factors included jealousy, separation, and recurrent conflicts. Weapon use—particularly knives and firearms—and “overkill” were frequent. Perpetrators often exhibited stalking behaviors and a history of intimate partner violence. Compared to other homicide offenders, IPF perpetrators were generally older, more often employed, and less likely to have a criminal background, but more likely to engage in intimate partner violence and hold patriarchal beliefs. Conclusions: IPF is not an unpredictable act. Despite the heterogeneity among perpetrators, identifiable risk indicators can inform effective prevention and intervention efforts. Full article

Background: Working memory (WM) is a critical component of cognitive performance. Although transcranial direct current stimulation (tDCS) is a promising neuromodulation technique, its effect on working memory in healthy individuals remains unclear. Methods: In this study, EEG signals were recorded from different groups (working memory group, tDCS group, and sham group) and analyzed using phase–amplitude coupling, power spectral density, and brain network analysis to investigate the effect and mechanism of tDCS on working memory tasks in healthy individuals. Results: The results showed that in the tDCS group, the power spectral density of the EEG was increased in the gamma band and decreased in the delta band, while the delta–gamma phase–amplitude coupling was also decreased during the working memory task. Meanwhile, brain network analysis indicated significant differences in the node degree and clustering coefficient between the active and sham stimuli. Conclusions: Despite the absence of immediate behavioral improvements, these results suggest that tDCS could significantly modulate working memory-related EEG activity. Full article

Cognitive behavioural therapy (CBT) is an evidence-based intervention for managing distress associated with tinnitus, hyperacusis, and misophonia. This paper summarises key points from the 2025 Tonndorf Lecture presented at the third World Tinnitus Congress and the 14th International Tinnitus Seminar in Poland. The lecture addressed (1) the theoretical foundations of CBT for these conditions, (2) clinical evidence on CBT delivered by psychologists, audiologists, and digital self-help, and (3) the proportion of patients who may benefit from CBT. Research demonstrates that CBT can effectively reduce distress related to tinnitus, hyperacusis, and misophonia. Both psychologist- and audiologist-delivered CBT approaches have demonstrated significant improvements in reducing the impact of tinnitus, hyperacusis, and misophonia on patients’ quality of life, while guided internet-based CBT also demonstrates positive outcomes. Unguided internet-based CBT is also effective, though it faces challenges such as higher dropout rates. Despite these promising results, not all patients experience the same level of benefit. Some continue to experience distress even after completing CBT, highlighting the need for alternative or complementary interventions and ongoing support. This paper estimates that approximately 1 in 52 individuals with tinnitus require CBT, indicating that while tinnitus is relatively common, the need for intensive therapy is comparatively small. To enhance treatment outcomes, future research should compare the effectiveness of psychologist- and audiologist-delivered CBT, explore hybrid models that combine face-to-face and digital interventions, and address challenges with internet-based CBT, particularly for hyperacusis and misophonia. Furthermore, incorporating neuroimaging and physiological measures in future randomised controlled trials could provide objective insights into the neural mechanisms underlying symptom improvement, ultimately helping to refine CBT interventions. Identifying characteristics of non-responders to CBT may also guide the development of more tailored therapeutic approaches. Full article

Background/Objectives: Synesthesia is an unusual neurological condition when stimulation of one sensory modality automatically triggers an additional sensory sensation in an additional unstimulated modality. In this study, we investigated a case of sound–color synesthesia in a female with impaired vision. After confirming a positive case of synesthesia, we aimed to determine the sound features that played a key role in the subject’s sound perception and color development. Methods: We applied deep neural networks and a benchmark of binary logistic regression to classify blue and pink synesthetically voice-evoked color classes using 136 voice features extracted from eight study participants’ voice recordings. Results: The minimum Redundancy Maximum Relevance algorithm was applied to select the 20 most relevant voice features. The recognition accuracy of 0.81 was already achieved using five features, and the best results were obtained utilizing the seventeen most informative features. The deep neural network classified previously unseen voice recordings with 0.84 accuracy, 0.81 specificity, 0.86 sensitivity, and 0.85 and 0.81 F1-scores for blue and pink classes, respectively. The machine learning algorithms revealed that voice parameters, such as Mel-frequency cepstral coefficients, Chroma vectors, and sound energy, play the most significant role. Conclusions: Our results suggest that a person’s voice’s pitch, tone, and energy affect different color perceptions. Full article