Search Results (2,545)

Dyslexia is a highly prevalent learning disability characterized by deficits in specific cognitive and linguistic skills which impair accurate and fluent reading of written words. Intensive, comprehensive, multicomponent interventions are effective in improving outcomes for students with dyslexia, but effective curriculum delivery has traditionally required an educator with substantial training. Many school systems lack sufficient staff with this level of expertise to successfully meet the needs of all their struggling readers. Towards this end, a technology-assisted dyslexia intervention was developed to provide teacher support through a virtual human avatar, resulting in significantly reduced training time while maintaining the comprehensive scope and structure of a traditional intervention model. This paper evaluates the comparative efficacy of the tech-assisted delivery model and the traditional model across two independent substudies. Results from quasi-experimental observational substudies in both laboratory school (n = 82) and public-school (n = 157) samples demonstrate non-inferiority, i.e., comparable student progress in reading and spelling, of the tech-assisted instruction compared to the traditional delivery model. Furthermore, despite differences in the educator training model, implementation fidelity was equivalently strong (>90%) in both groups. Findings provide encouraging evidence towards the scalability of effective dyslexia intervention by providing technology-based support at the level of the teacher. Implications for practice and questions for future research are discussed. Full article

Plasticity is a fundamental property of the brain that enables the nervous system to respond appropriately to internal and external stimuli. It primarily involves changes at the synaptic level, mediated by a wide array of molecules, ultimately leading to cognitive and behavioral changes. This review critically contrasts the developmental timing and mechanisms of plasticity in Autism spectrum disorder (early hyperplasticity and excitation–inhibition imbalance) versus Schizophrenia (adolescent overpruning and NMDAR hypofunction) and evaluates evidence for interventions that harness plasticity to improve cognitive and behavioral outcomes. Preclinical and small clinical studies suggest that interventions targeting plasticity-related pathways may improve specific cognitive and behavioral domains. However, effects appear to be symptom-domain-specific and protocol-dependent and larger randomized controlled trials are needed to confirm efficacy. Cognitive remediation for Schizophrenia has been associated with improved executive function and increased hippocampal volume, while virtual reality-based training for Autism spectrum disorder has shown gains in attention and planning skills. By highlighting both molecular mechanisms and therapeutic strategies, this review aims to provide an integrated perspective on how plasticity-targeted interventions could be optimized across neurodevelopmental and neuropsychiatric disorders. Full article

Objective: This systematic review evaluated the effects of body weight strength training (BWST) on cognitive function and health-related quality of life (HRQoL) in apparently healthy older people compared with active/inactive control groups. Methods: A literature search was conducted in six databases: PubMed, Web of Science, Scopus, ScienceDirect, EBSCOhost, and PsycINFO. The PRISMA, TESTEX, RoB 2, and GRADEpro tools were used to assess the methodological quality and certainty of evidence. The protocol was registered in PROSPERO (code: CRD42024623038). Results: Among the 27,241 records, 9 randomized controlled trials involving 682 (85% women) apparently healthy older people were included. Compared with the active/inactive control groups, the BWST resulted in significant improvements in orientation to place, language, visuospatial ability, processing speed, attention, and short-term memory. Within-group improvements were observed in general cognitive function and health-related anxiety scores in both the BWST and active control groups. The calculation and set shifting improved only within the BWST group. Conclusions: The individual results of the RCTs suggest that BWST may have potential effects on cognitive function and HRQoL in apparently healthy older people. Nevertheless, the certainty of evidence was insufficient to support definitive recommendations. Therefore, further high-quality studies are needed to establish solid conclusions. Full article

In a global context marked by an increase in acts of aggression in schools, it is essential to focus on discovering new theoretical benchmarks and practical strategies for prevention and intervention in such situations. This article, evidence of this concern, aims to identify (1) how common school anti-bullying programs are that integrate creativity and metacognition processes, (2) what the theoretical background is that justifies the application of these tools in anti-bullying programs, and (3) what the elements of methodology and the evaluation criteria and methods are that have been applied in these programs. We conducted a rigorous analysis, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), of articles identified in the Web of Science Core Collection, PubMed, PsychoNet, and Eric Gov. Out of the total 203 articles identified that met the inclusion criteria, only 11 were finally selected. Analyzing the training/teaching, learning, and evaluation methods proposed in the programs in the 11 articles, we synthesized and developed a theoretical model that highlights how creative and metacognitive processes contribute to cognitive and behavioral dynamics when addressing bullying. This holistic approach could provide policymakers, researchers, administrators, principals, and teachers with a theoretical framework for developing and implementing practical and effective interventions against bullying in schools. Full article

Road safety has emerged as a global issue, driven by the rapid rise in vehicle ownership and traffic congestion. Human error, like distraction, drowsiness, and panic, is the leading cause of road accidents. Conventional driver monitoring systems (DMSs) frequently fail to detect these emotional and cognitive states, limiting their potential to prevent accidents. To overcome these challenges, this work proposes a robust deep learning-based DMS framework capable of real-time detection and response to emotion-driven driver behaviors that pose safety risks. The proposed system employs convolutional neural networks (CNNs), specifically the Inception module and a Caffe-based ResNet-10 with a Single Shot Detector (SSD), to achieve efficient, accurate facial detection and classification. The DMS is trained on a comprehensive and diverse dataset from various public and private sources, ensuring robustness across a wide range of emotions and real-world driving scenarios. This approach enables the model to achieve an overall accuracy of 98.6%, an F1 score of 0.979, a precision of 0.980, and a recall of 0.979 across the four emotional states. Compared with existing techniques, the proposed model strikes an effective balance between computational efficiency and complexity, enabling the precise recognition of driving-relevant emotions, making it a practical and high-performing solution for real-world in-car driver monitoring systems. Full article

Background: Sleep disorders, particularly insomnia, represent a significant health concern in medical education. Neuroticism, characterized by emotional instability and stress reactivity, shows cross-sectional associations with sleep disturbances in healthcare trainees. Limited research examines these relationships among South Asian medical students. This cross-sectional study investigated insomnia symptom prevalence, personality correlates, and environmental factors among Pakistani medical students. Methods: We conducted a cross-sectional study among 364 undergraduate medical and dental students in Peshawar, Pakistan (June–November 2024). Data collection occurred during examination months. Data collection employed validated instruments: the Insomnia Severity Index (ISI) and the NEO Five-Factor Inventory neuroticism subscale (NEO-FFI-12). Statistical analyses included Pearson correlations, chi-square tests, and multivariate regression with interaction terms. Results: Among 364 participants (mean age 21.3 ± 2.3 years, 52.2% female), 47.0% reported severe insomnia symptoms (ISI 22–28), with 89.0% experiencing at least subthreshold symptoms (ISI ≥ 8) during the 2-week assessment period. These prevalence rates reflect symptom severity over a 2-week period during examination months and do not represent clinical diagnoses of chronic insomnia disorder, which requires ≥3 months of symptoms with clinical confirmation. High neuroticism (NEO-FFI ≥ 37) characterized 59.8% of students. Multivariate regression revealed a robust cross-sectional association between neuroticism and insomnia symptom severity (β = 0.239, 95% CI [0.173, 0.305], standardized β = 0.342, p < 0.001) and may reflect measurement during peak examination stress rather than stable trait-outcome relationships. Hostel residents showed non-significantly higher clinical insomnia prevalence than day scholars (75.9% vs. 67.5%, p = 0.081). Clinical-year students demonstrated significantly lower insomnia severity than pre-clinical students (β = −1.271, p < 0.001), a finding that contradicts assumptions about increasing stress through training progression. The neuroticism × living arrangement interaction was non-significant (p = 0.118); however, post hoc power analysis indicated the study was underpowered to detect small moderation effects, making this finding inconclusive. Conclusions: This study documents high insomnia symptom severity during a 2-week assessment period in Pakistani medical students, with a robust cross-sectional association with neuroticism. However, these findings must be interpreted within the constraints of the cross-sectional design, which cannot establish temporal precedence or causality between neuroticism and insomnia symptoms. These symptom prevalence rates likely reflect a combination of chronic sleep disorders and transient examination-related stress. Living arrangements showed small, non-significant associations with insomnia. The observed association between neuroticism and insomnia may be partially mediated or confounded by unmeasured variables, including academic stress, psychiatric comorbidities, substance use, and other sleep disorders. Findings suggest potential benefits from interventions addressing cognitive-emotional factors, though comprehensive diagnostic assessment is needed to distinguish chronic insomnia disorder from transient, stress-related sleep difficulties. Longitudinal research with objective sleep measures, structured psychiatric assessment, and systematic confounder evaluation is essential to establish causal relationships and intervention efficacy in this population. Full article

Obesity has become increasingly prevalent, impacting up to 41 percent of women in the United States between 2021 and 2023, leading to a rise in short- and long-term adverse health events. With regard to reproductive health, obesity is associated with menstrual irregularities, poorer reproductive and obstetric outcomes, and an increased risk of endometrial cancer. Obesity can lead to hyperandrogenism and anovulation, which is consistent with polycystic ovarian syndrome (PCOS). The prevalence of obesity is higher in women with PCOS compared to the general population. Although PCOS increases the risk of obesity, not all women with PCOS are obese, and not all women with obesity develop PCOS. However, individuals with both PCOS and obesity often present with a more extreme phenotype, with increased risk of chronic anovulation, glucose intolerance, dyslipidemia, metabolic syndrome, vitamin D deficiency, and decreased fertility. Therefore, weight loss is the backbone of patient management in women with obesity and PCOS, and is associated with improvement in cardiovascular risk, as well as improvement in menstrual cycles, ovulation, and pregnancy rate. Lifestyle modifications are often the first-line intervention, with data supporting low glycemic index diets, including ketogenic and DASH diets, along with vitamin D supplementation to improve hormonal imbalances, insulin sensitivity, and menstrual cycles in those who do not have normal vitamin D levels. Furthermore, with the recent widespread adoption of newer FDA-approved medications for weight loss, including GLP-1 (glucagon-like peptide) receptor agonists, new data are emerging regarding the impact of PCOS and longer-term cardiovascular risk. The treatment of PCOS requires a personalized approach, with consideration of a patient’s reproductive goals, tolerance of risk, and acceptance of behavioral and financial commitments, as well as consideration of other medical comorbidities. This narrative review explores different weight loss treatment options, comparing lifestyle modifications (including diet, physical activity, mindfulness, stress management, and cognitive behavioral training), weight loss medications, and bariatric surgery and their respective impact on PCOS to assist clinicians in guiding their patients towards an effective, individualized intervention. Full article

Background: Hyperphosphorylated tau accumulation and neurofibrillary tangles (NFTs) are hallmarks of tauopathies, including Alzheimer’s disease (AD), and are strongly associated with cognitive decline. The rTg4510 mouse model, which expresses mutant human tau (P301L), develops progressive tauopathy in the absence of amyloid-β pathology, providing a valuable tool for investigating tau-driven neurodegeneration. Previous studies have demonstrated spatial and object-recognition memory deficits at six months of age, which can be prevented by doxycycline (DOX)-mediated suppression of tau expression. However, it remained unclear whether non-spatial hippocampal learning, particularly temporal associative learning, would be similarly affected. Methods: We evaluated six-month-old rTg4510 mice with or without DOX treatment. To control for potential motor confounds, we first assessed spontaneous home cage activity. We then tested hippocampus-dependent non-spatial learning using two paradigms: trace eyeblink conditioning (500-ms trace interval) and contextual fear conditioning. Results: General motor function remained intact; however, rTg4510 mice without DOX treatment exhibited increased rearing behavior. These mice demonstrated significant deficits in trace eyeblink conditioning acquisition, with particularly clear impairment on the final day of training. Contextual fear conditioning showed milder deficits. Analysis of response peak latency revealed subtle temporal processing abnormalities during early learning. Two months of DOX treatment initiated at four months of age prevented these learning deficits, confirming their association with tau overexpression. Conclusions: Our findings demonstrate that rTg4510 mice exhibit deficits in non-spatial temporal associative learning alongside previously reported spatial and object-recognition impairments. Trace eyeblink conditioning serves as a sensitive behavioral assay for detecting tau-related hippocampal dysfunction, and the prevention of learning deficits by DOX treatment highlights its potential utility as a translational biomarker for evaluating tau-targeted interventions. Full article

Background/Objectives: Anxiety and depression are prevalent global health concerns, especially prominent in vulnerable groups such as older adults, individuals with chronic health conditions (e.g., neurodegeneration and cancer), and those from low socioeconomic backgrounds. Digital interventions, including computerized cognitive training (CCT), show promise in addressing emotional dysfunctions in a more accessible and cost-effective manner. The CREATE platform aims to enhance Emotion Regulation (ER) through targeted Working Memory (WM) training, aesthetic engagement, and creativity, while accounting for dopamine activity via spontaneous Eye Blink Rate (sEBR). The purpose of the present study is to evaluate the platform’s feasibility and validity through a single pilot trial. Methods: The study enrolled twenty-seven healthy adults (aged 21–44) who completed standardized self-report questionnaires on sleep quality and ER. They were also enrolled in sEBR recordings and performed a CCT-adapted Corsi block-tapping task and an aesthetic art evaluation. Affective textual narratives and valence/arousal ratings were also collected. Participants were divided into “Good Sleepers” and “Poor Sleepers”. The platform evaluation enrolled a multi-modal pipeline including correlations and regression analysis of intervention metrics, sentiment analysis, and group comparisons. Results: WM task performance correlated positively with global ER and Cognitive Reappraisal scores. Post-training sEBR was significantly associated with ER, and lower sleep efficiency negatively impacted changes in dopamine activity (sEBR Diff). Dopamine activity of “Good Sleepers”, as indicated by sEBR, reached the high levels of the “Poor Sleepers” group after the training, suggesting a dopamine boost caused by the CREATE platform for those with quality sleep. Creativity and emotional expression, as indicated by sentiment analysis, were related to sleep quality. Conclusions: The CREATE platform shows promise in enhancing ER through multi-modal digital engagement, integrating cognitive training, art, and creativity. The findings support the inclusion of sleep and dopamine markers in intervention evaluation. Further studies with larger samples and clinical cohorts are warranted to establish efficacy and generalizability, as the present one was not powered to test the effectiveness of our training platform but was designed to assess its feasibility and validity instead. Full article

Background: Cognitive impairment after stroke often reduces independence and quality of life. Cognitive rehabilitation is therefore essential, and recent research on computer-based interventions has shown promising results. This proof-of-concept study investigated the effects of additional self-administered cognitive training using an electronic device, compared with traditional paper-and-pencil methods, on attentional functions in individuals with subacute stroke. Methods: Participants were randomly assigned to an experimental group or a control group. For two consecutive weeks, both groups received forty-five-minute, face-to-face cognitive therapy sessions each morning, delivered via an electronic device. In addition, the experimental group engaged in sixty minutes of self-administered cognitive training using the same device, while the control group completed conventional exercises with paper-and-pencil tools. Neuropsychological assessments were conducted before and after the intervention. Results: Twenty-three participants were included (experimental group: eleven; control group: twelve). No significant differences in safety or attentional performance were observed between groups. Within-group analyses showed improvements in the experimental group in attentional shifting, inhibitory control, visuospatial planning, and problem-solving, while the control group improved in visuospatial planning and problem-solving. Conclusions: These preliminary findings suggest that self-administered electronic cognitive training may be a feasible approach to support attentional recovery in individuals with subacute stroke. Full article

This study provides a symmetrical, cross-genre comparison of human expertise transfer and “blind” artificial intelligence (AI) performance in audio-only gaming environments. Although previous research has focused on human performance in audio games and the feasibility of blind agents trained on auditory inputs separately, a direct comparison of these two forms of expertise is missing. We fill this gap with a robust experimental design, involving 37 human players (aged 18–44), grouped by gaming experience and specialized blind AI agents. We measured key performance variables, including win ratios, health differences, and task completion times across two genres: a fighting game (DareFightingICE) and a first-person shooter (SonicDoom). Our findings show a complex, task-dependent relationship. In DareFightingICE, expert humans (73.0% win ratio) significantly outperformed the AI (54.0% win ratio), demonstrating effective cognitive transfer. Meanwhile, the AI’s performance matched the overall human average (54.0% vs. 53.0%). Conversely, in SonicDoom, AI achieved superhuman speed in simple tasks (1.55 s vs. 5.35 s) but underperformed compared to expert humans in complex scenarios, highlighting that the AI’s proficiency is specialized but fragile, whereas human expertise is more robust and adaptable. The results provide practical insights for audio-rich game design and highlight the crucial need for AI models beyond reactive policies. Full article

Background: Emotionally salient music may enhance attention-focused rehabilitation, yet concurrent music plus virtual-reality programs in chronic stroke are largely untested. We assessed whether personalized emotional music stimulation (EMS) layered onto a standardized virtual reality rehabilitation system (VRRS) augments cognitive, affective, physiological, and functional outcomes. Methods: In a quasi-randomized outpatient trial, 20 adults ≥ 6 months post-ischemic stroke were allocated by order of recruitment to VRRS alone (control, n = 10) or VRRS+EMS (experimental, n = 10). Both groups performed 45 min of active VRRS cognitive training (3×/week, 8 weeks), while the EMS group received approximately 60 min sessions including setup and feedback phases. Primary outcomes were cognition and global function; secondary outcomes were intrinsic motivation, depression, anxiety, and heart rate. Non-parametric tests with effect sizes and Δ-scores were used. Results: The experimental group improved across all domains: cognition (median +4.5 points), motivation (median +54 points), depression (median −3.5 points), anxiety (median −4.0 points), heart rate (median −6.35 beats per minute), and disability (median one-grade improvement), each with large effects. The control group showed smaller gains in cognition and motivation and a modest heart-rate reduction, without significant changes in mood or disability. At post-treatment, the music group outperformed controls on cognition, motivation, and disability. Change-score analyses favored the music group for every endpoint. Larger heart-rate reductions correlated with greater improvements in depression (ρ = 0.73, p < 0.001) and anxiety (ρ = 0.58, p = 0.007). Conclusions: Adding personalized emotional music to virtual-reality attention training produced coherent, clinically relevant gains in cognition, mood, motivation, autonomic regulation, and independence compared with virtual reality alone. Full article

The present study employed immersive virtual reality (iVR) technology to create a multimodal enriched learning environment and investigated the effects of pre-training on sleep-dependent consolidation of novel word learning. Native Chinese speakers were randomly assigned to either a pre-training group or a control group. Both groups learned two sets of novel words, one on Day 1 and the other on Day 2. All participants completed an explicit recognition task and an implicit semantic priming task on Day 2. The results reveal the sleep-dependent consolidation effects in the implicit measures, with enhanced semantic priming observed for words learned on the previous day following a sleep interval. Moreover, the pre-training yielded additional benefits for sleep-dependent consolidation, as evidenced by the improved sleep-dependent consolidation effects of the pre-training group as compared with the control group. However, no sleep-dependent consolidation and pre-training effects were observed in the explicit recognition task. These findings suggested that pre-training serves as an effective strategy to reduce cognitive load and facilitate novel word learning in iVR environments. This study provides new evidence for the pre-training principle of cognitive load theory from the perspective of sleep-dependent consolidation. Full article

Enhancing road safety requires an accurate assessment of the drivers’ mental states. The Driver Status Test App (DSTA) is designed to detect conditions such as intoxication, fatigue, and cognitive impairment in simulated driving environments. Utilizing a dual-platform approach, it integrates mobile data collection via React Native and Firebase with web-based management using React and TypeScript. The mobile application conducts real-time assessments of cognitive and motor functions, while the web interface offers data visualization, trend analysis, and results exportation. DSTA evaluates driver impairment through metrics such as tracking, precision, balance, and choice reaction, producing an objective impairment score. These assessments are rapid, scalable, and adaptable for various research and regulatory purposes. The composite scoring framework differentiates between impaired and unimpaired states, making DSTA valuable for driver training programs, regulatory assessments, and autonomous vehicle research, where monitoring human factors is crucial. Full article

Attention and brain focus are essential in human activities that require learning. In higher education, a popular means of acquiring knowledge and information is through serious games. The need for integrating digital learning tools, including serious games, into university curricula has been demonstrated by the students’ preferences that are oriented more towards engaging and interactive alternatives than traditional education. This study examines real-time attention measurement in serious games using wearable brain–computer interfaces (BCIs). By capturing electroencephalography (EEG) signals non-invasively, the system continuously monitors players’ cognitive states to assess attention levels during gameplay. The novel approach proposes adaptive attention measurements to investigate the ability to maintain attention during cognitive tasks of different durations and intensities, using a single-channel EEG system—NeuroSky Mindwave Mobile 2. The measures have been achieved on ten volunteer master’s students in Computer Science. Attention levels during short and intense tasks were compared with those recorded during moderate and long-term activities like watching an educational lecture. The aim was to highlight differences in mental concentration and consistency depending on the type of cognitive task. The experiment was designed following a unique protocol applied to all ten students. Data were acquired using the NeuroExperimenter software 6.6, and analytics were performed in RStudio Desktop for Windows 11. Data is available at request for further investigations and analytics. Experimental results demonstrate that wearable BCIs can reliably detect attention fluctuations and that integrating this neuroadaptive feedback significantly enhances player focus and immersion. Thus, integrating real-time cognitive monitoring in serious game design is an efficient method to optimize cognitive load and create personalized, engaging, and effective learning or training experiences. Beta and attention brain waves, associated with concentration and mental processing, had higher values during the gameplay phase than in the lecture phase. At the same time, there are significant differences between participants—some react better to reading, while others react better to interactive games. The outcomes of this study contribute to the design of personalized learning experiences by customizing learning paths. Integrating NeuroSky or similar EEG tools can be a significant step toward more data-driven, learner-aware environments when designing or evaluating educational games. Full article