Search Results (35,161)

The capacity of the brain to adapt to experience has long been associated with synaptic plasticity; however, recent evidence demonstrates that experience-driven neural activity also modulates white matter organization through dynamic regulation of oligodendrocyte lineage cells and myelination. Activity-dependent myelination has emerged as a complementary form of neuroplasticity that contributes to circuit efficiency, temporal coordination, and cognitive function. This review aims to examine the neurobiological mechanisms linking cognitive stimulation and activity-dependent neuronal signaling with oligodendroglial dynamics and adaptive myelination. A narrative review of experimental and translational studies was conducted, focusing on evidence from animal models and human research exploring neuron–oligodendroglia interactions, neurotransmitter-mediated signaling, learning paradigms, physical exercise, and neuromodulatory interventions relevant to myelination and brain plasticity. Accumulating evidence indicates that cognitive stimulation, learning, and physical activity modulate neuronal firing patterns and neurotransmitter release, influencing oligodendrocyte precursor cell proliferation, differentiation, and myelin remodeling. Neurotransmitters such as glutamate, GABA, dopamine, and acetylcholine play key roles in neuron–oligodendroglia communication, largely through calcium-dependent intracellular signaling pathways. These mechanisms have been associated with experience-dependent circuit refinement across motor, cognitive, and stress-related paradigms. Rather than implying direct clinical effects, this review highlights oligodendroglial plasticity as a biologically plausible substrate through which cognitive and behavioral experiences may influence adaptive myelination and white matter integrity. Understanding these mechanisms provides a conceptual framework for future research exploring non-pharmacological approaches to modulate brain plasticity at the level of myelin. Full article

Understanding the psychological mechanisms underlying consumer loyalty behavior constitutes a central challenge for the behavioral sciences. Despite growing research on experiential marketing, limited attention has been directed toward understanding the conditional cognitive mechanisms that determine when and how consumption experiences translate into stable loyalty patterns, particularly in emerging market contexts where consumer behavior dynamics differ substantially from those in mature economies. The present study examines how experiential processing influences the formation of behavioral loyalty patterns, considering the moderating role of cognitive value evaluation. A quantitative, correlational, cross-sectional design was employed with a sample of 500 consumers from retail businesses in Pueblo Nuevo, Peru. The instruments demonstrated adequate psychometric properties (α > 0.88; AVE > 0.50). The results of the moderation analysis using PROCESS Model 1 revealed that the model explains 79.9% of the variance in loyalty behavior (R² = 0.799, p < 0.001). The interaction effect was significant (B = 0.10, p < 0.001), confirming that cognitive value evaluation moderates the relationship between experiential processing and behavioral loyalty. Simple slopes analysis showed that the effect of experiential processing on loyalty intensifies as perceived value increases, ranging from B = 0.56 at low levels to B = 0.77 at high levels. The Johnson–Neyman criterion identified the transition point at 14.80. These findings contribute to consumer behavior theory by demonstrating that consumption experiences require a favorable cognitive evaluation to translate into stable behavioral loyalty patterns, with implications for Sustainable Development Goal 8 concerning sustainable economic growth. These results advance consumer behavior theory by providing an integrative moderating framework applicable beyond the Peruvian context, and offer retail managers a diagnostic tool for calibrating experiential strategies based on consumer value perception thresholds. Full article

In the last few years, universities have increasingly implemented online learning environments, allowing students to study at their own pace. These environments utilize technological tools and implement methods to support training, deliver content, and promote the acquisition of new knowledge and skills. As an example of these technologies, eye tracking has emerged as a powerful tool for studying visual attention, cognitive processes, and learning behaviors. The main aim of this study is to provide a scoping review of recent eye-tracking research across diverse learner populations, ranging from K-12 students to university-level learners and educators. The present study examined recent advances in eye-tracking technologies, focusing on their potential, especially when combined with artificial intelligence (AI) techniques such as machine learning. It analyzed 54 empirical studies in the last few years, highlighting their applicability, strengths, and limitations. The research findings highlight the promise of eye-tracking technology to transform educational practices by providing data-driven insights regarding student behavior and cognitive processes. Future research must address implementation and data-analysis challenges to maximize the educational benefits of eye tracking. Full article

Objectives: We aimed to evaluate the reliability and validity of the Arabic version of the Chronic Heart Failure Health-Related Quality of Life Questionnaire (CHFQOLQ-20) among patients with heart failure in Jordan. Methods: A cross-sectional study was conducted among 399 adults with heart failure recruited from a tertiary hospital in Jordan (median age 68 years; 55.9% male). The CHFQOLQ-20 was translated using forward–backward procedures. Construct validity was examined using confirmatory factor analysis (CFA) and a multidimensional Partial Credit Model. Differential item functioning by sex and internal consistency were assessed. Results: CFA supported the original four-domain structure (physical, cognitive, mental, and general health), with all items showing significant factor loadings. Item-level analyses demonstrated acceptable model fit, ordered response thresholds, and minimal sex-related bias. Physical health scores were lower than other domains. Conclusions: The Arabic CHFQOLQ-20 is a valid, reliable, and multidimensional measure of HRQoL in patients with heart failure, supporting its use in clinical practice and research. Full article

Brief post-learning wakeful resting periods and local sleep mechanisms have been proposed to support offline memory consolidation processes. Mind-wandering (MW), thought to reflect the occurrence or need for local sleep, has been linked to momentary attentional disengagement and may index transitions toward offline processing states. We hypothesized that resting opportunities administered immediately after probe-caught MW episodes reflecting local sleep need may selectively enhance memory consolidation. In a first experiment, participants learned five blocks of eight paired-associate words; a MW thought probe was administered after each block. In the MW condition, participants were allowed a 3 min quiet, offline pause after the block if they reported MW. In the control condition, no pause was administered. Consolidation was better in the MW than the control condition, supporting the hypothesis. However, Experiment 2 tested the MW-related pause effect by comparing the MW condition to a condition in which pauses were allowed irrespective of MW. Results showed that performance equally improved in both conditions, suggesting that post-learning pause effects would not be MW-specific. However, additional analyses evidenced a positive relationship between MW intensity and memory consolidation in both experiments. Our findings suggest that transient interruption of input during a declarative learning session may favor memory consolidation at wake, partially independently of the attentional state. Full article

Contemporary education increasingly emphasises transferable competencies that enable learners to analyse situations, evaluate information, and make responsible decisions. This study examined the effects of a structured educational intervention based on inquiry, problem-solving, and role-play activities on the development of decision-making competence in primary school students. A quasi-experimental pre-test–post-test design with a control group was employed. The initial sample consisted of 64 second-grade students, with final analyses conducted on 39 complete cases. Decision-making competence was assessed using a researcher-developed multidimensional scale encompassing six dimensions: identification of alternatives, justification of decisions, anticipation of consequences, autonomy, collaboration, and responsibility. The results indicated a significant improvement in decision-making competence from pre-test (M = 13.23, SD = 1.68) to post-test (M = 20.05, SD = 4.49), t(38) = 8.45, p < 0.001, d = 1.35. Additionally, analysis of covariance revealed a significant effect of group on post-test scores, F(1, 36) = 9.82, p = 0.003, ηp² = 0.21, with the experimental group demonstrating greater improvement than the control group. A 2 × 2 repeated-measures ANOVA further indicated that gains were more pronounced in the cognitive domain than in the socio-emotional domain. These findings suggest that structured classroom activities involving inquiry, problem-solving, and role-play can support primary school students’ ability to analyse situations, generate alternatives, and justify decisions, particularly within the cognitive dimensions of decision-making competence. At the same time, the more moderate gains observed in collaboration and responsibility highlight the need for sustained, interaction-based learning contexts to support the development of socio-emotional dimensions. Full article

Background: Migraine in older adults represents an increasingly relevant yet underrecognized clinical challenge in aging societies, where multimorbidity, frailty, and polypharmacy complicate both diagnosis and management. Although traditionally considered a disorder of younger individuals, migraine frequently persists or presents after the age of 60 with atypical features, contributing to diagnostic uncertainty. Methods: This narrative review, conducted in accordance with the SANRA principles, aims to provide a comprehensive overview of the epidemiology, clinical presentation, pathophysiology, and management of migraine in older adults, with particular emphasis on age-related complexities, therapeutic challenges, and unmet clinical needs. Results: Migraine in this population often presents with atypical or misleading features, such as aura without headache, vestibular symptoms, or overlap with cerebrovascular conditions, leading to delayed or incorrect diagnoses. The burden of disease is substantial, affecting physical function, mobility, cognition, emotional well-being, and social participation, and is further amplified by comorbid conditions including cardiovascular and metabolic disorders, mood disturbances, and chronic pain syndromes. Aging-related neurobiological changes, such as impaired pain modulation, endothelial dysfunction, and neuroinflammation, may influence disease expression and treatment response. Therapeutic management is challenged by contraindications, increased susceptibility to adverse drug effects, and the complexity of polypharmacy, highlighting the importance of individualized and non-pharmacological approaches. Conclusions: Migraine in older adults is a significant but often overlooked contributor to disability and reduced quality of life. Improved recognition of its unique clinical features and age-specific vulnerabilities is essential to optimize patient-centered care. Future research should prioritize the inclusion of older populations and the development of tailored, safe, and effective management strategies. Full article

Background/Objectives: Forest therapy has demonstrated stress-reducing and immune-enhancing effects, yet its simultaneous impact on cognitive function, stress biomarkers, and oral microbiota in older adults remains unexplored. This study aimed to evaluate the effects of an 8-week community-based village forest experience program on cognitive function, salivary cortisol, and oral pathogenic bacteria in community-dwelling older adults. Methods: A total of 125 older adults (mean age 82.2 ± 5.3 years; 87.2% female) from 17 senior centers participated in a single-arm, pre–post intervention study. Cognitive function was assessed using the Cognitive Impairment Screening Test (CIST), salivary cortisol was measured by ELISA, and seven oral bacterial species were quantified by qPCR. Results: CIST scores improved significantly (p = 0.003, d = 0.27), with the suspected cognitive impairment subgroup showing greater improvement (d = 0.66) and 48.8% transitioning to normal classification. Salivary cortisol decreased significantly (p = 0.002), and total bacterial load, Porphyromonas gingivalis, and Tannerella forsythia were significantly reduced. The 80–84-year age group showed the greatest cognitive gain, whereas participants aged 85 and older showed no significant change. Conclusions: An accessible village forest program may simultaneously benefit cognitive function, stress, and oral health in older adults with early-stage cognitive decline. Controlled studies are needed to confirm causality and elucidate the underlying mechanisms. Full article

Background/Objectives: Physical activity is one of the most powerful lifestyle factors influencing brain health, with growing evidence supporting its role in promoting neuroplasticity, cognitive function, and resilience to age-related neurological decline. Recent studies indicate that these effects are mediated by coordinated molecular responses involving epigenetics, activity-dependent gene expression, metabolic adaptation, and inter-organ communication pathways. This narrative review synthesizes current knowledge from experimental and clinical studies on the neurogenomic and epigenetic mechanisms underlying exercise-induced brain plasticity. Methods: Literature searches were conducted in PubMed, Scopus, Web of Science, and Google Scholar to identify studies examining neurogenomic and epigenetic mechanisms underlying neuroplasticity and cognitive adaptations in response to exercise, with an emphasis on mechanistic and translational evidence. Results: Available evidence, derived predominantly from animal studies and supported by more limited, often indirect human data, indicates that physical activity induces epigenetic modifications, including changes in DNA methylation, histone modifications, and microRNA expression, which contribute to lasting changes in exercise-responsive genes involved in brain plasticity. These adaptations include the upregulation of key neuroplasticity-related mediators that support neurogenesis, synaptic plasticity, angiogenesis, and metabolic adaptation, alongside the downregulation of pathways linked to neuroinflammation, oxidative stress, and apoptotic signalling. Conclusions: Integrating neurogenomics with systems biology approaches offers promising opportunities to better understand how physical activity influences brain plasticity throughout life. These insights may support the development of personalized exercise medicine to improve cognitive health and reduce the risk of neurodegenerative disorders. Full article

The DPF-DETR model has been designed to address the challenges encountered in object detection within drone imagery, particularly in scenarios involving significant target scale variations, dense targets, and complex backgrounds. To overcome the limitations of traditional object detection methods, the Density Sensing Mechanism (DSM) and Adaptive Density Map Loss (AdaptiveDM Loss) have been incorporated into the model to provide fine-grained supervision signals. The DSM optimizes the query selection mechanism by utilizing density maps, enabling the number of queries to be adaptively adjusted based on the distribution density of targets, thus improving detection accuracy in dense regions. Furthermore, the precision of the model in detecting dense targets is enhanced by AdaptiveDM Loss, which dynamically adjusts the weights for object localization and classification. Multi-scale feature fusion capabilities are also improved by the Multi-Scale Feature Fusion Network (MSFFN) and the Selective Feature Integration Module (SFIM). The MSFFN refines the fusion of features, which improves the detection of targets across various scales, particularly in complex scenes. Additionally, SFIM enhances the detection accuracy for small targets and complex backgrounds by integrating low-level spatial features with high-level semantic information. The Context-Sensitive Feature Interaction Module (CSFIM) further optimizes multi-scale feature fusion through context-guided interactions, bridging the semantic gap between features of different scales, thus improving the robustness of the model in dense scenarios. Experimental results have shown that DPF-DETR outperforms traditional models and state-of-the-art detection methods across multiple datasets, demonstrating superior robustness and accuracy, especially in dense target detection and complex background scenarios. Full article

Conceptual ambiguity in People–Place Relationships (PPR) research limits consistent operationalization and cross-context comparability, particularly in under-represented cultural settings. This study develops an integrated, context-sensitive framework for assessing PPR in residential environments and empirically examines its measurement structure. The framework is applied in Damascus as a pilot context to assess its structural validity, internal consistency, and applicability. The methodological approach comprised two stages: conceptual development and empirical validation. First, two rounds of case-study analysis derived from a prior systematic literature review synthesized environmental (social and urban) and relational (cognitive, affective, attachment) dimensions into a coherent framework. Second, the framework was operationalized and tested using survey data from 1610 residents across Damascus districts. Six first-order indices and one composite PPR index were constructed and evaluated using exploratory factor analysis and Cronbach’s alpha with item–total correlation analysis. Results demonstrate a stable multidimensional structure that integrates evaluative environmental conditions with relational processes, moving beyond emotion-dominant interpretations of attachment. The framework advances existing approaches by linking theoretical constructs to empirically tested measurement dimensions. While further validation in diverse contexts is required, the results indicate that the model provides a coherent and adaptable basis for assessing residential PPR in socio-culturally complex urban environments. Full article

Image communication represents a fundamental domain of human experience that intersects cognitive neuroscience, educational psychology, and visual communication theory. The increasing digitalization of contemporary society has amplified the importance of visual literacy, defined as the ability to interpret, use, and create visual media. While neuroscientific research highlights the brain’s proficiency in processing visual information, significant gaps remain in understanding the underlying psychological mechanisms and their practical applications in educational contexts. This study proposes a multidisciplinary research design to systematically analyze these psychological dimensions. The research will integrate cognitive, perceptual, and pedagogical perspectives to understand how visual representations influence learning. The methodological design includes a multi-method approach combining experimental analysis, ethnographic observation, and psychometric evaluation on a stratified sample of 240 participants (aged 16–25) divided into three groups: high school students (n = 80), university students (n = 80), and young professionals (n = 80). The proposed methodology will utilize eye-tracking to analyze visual perception patterns, integrated with semantic differential methods to evaluate cognitive and affective associations with visual imagery. The expected results should clarify how the effectiveness of image communication depends on the coherence between technical and semantic aspects of visual imagery. The research aims to contribute to the theoretical framework of educational neuroscience, offering empirical evidence for optimizing teaching strategies based on multimodal visual communication. Full article

Various neuromodulatory benefits of the ketogenic diet (KD) have been demonstrated, yet its influence on reward learning and underlying mechanisms remain poorly defined. This study combined proteomics and metabolomics to identify key molecular changes in the hippocampus of KD-fed mice. Our analysis revealed significant upregulation of the “dopaminergic synapse” pathway, with CAMK2A emerging as a central regulator. In vitro, treatment of the hippocampal neuronal cell line HT22 with β-hydroxybutyrate (BHB), a primary KD metabolite, increased the protein expression of CAMK2A and increased the phosphorylation of its downstream target, GluA1. Crucially, Camk2a knockdown completely blocked BHB-induced p-GluA1 enhancement. To determine the behavioral relevance, we stereotaxically delivered AAV-shCamk2a into the hippocampus of KD-fed mice. Knockdown of Camk2a reversed the pro-reward effects of KD, as measured by the sucrose preference test and conditioned place preference test, without impairing general locomotor activity in the open field test. Together, these results suggest a novel BHB–CAMK2A–dopaminergic signaling axis through which KD enhances reward learning, thus bridging systemic metabolism with cognitive function and expanding our understanding of KD-mediated neuromodulation. Full article

The identification of gifted students with learning disabilities (GLD) remains theoretically and methodologically contested. The present study examined cognitive and reading profiles of 150 Greek students in Grades 4–6, classified as gifted with learning disabilities (GLD) (n = 36), gifted (n = 31), or dyslexic of average intellectual ability (n = 83). Gifted classification was based on National Association for Gifted Children guidelines issued in 2018, using reasoning-based WISC-VIndices (FSIQ, GAI, EGAI, NVI, VECI ≥ 120), while learning disability was determined through formal multidisciplinary diagnosis. Cognitive performance was assessed with the WISC-V and reading with the standardized DADA battery (decoding, fluency, and comprehension). One-way ANOVAs and ROC analyses were conducted. GLD students demonstrated reasoning abilities and processing speed abilities comparable to gifted peers, but working memory deficits compared to gifted peers. In reading, GLD students showed decoding deficits like dyslexic peers and fluency impairments indistinguishable from them, yet significantly stronger comprehension. These findings reveal a differentiated literacy profile in which higher-order reasoning appears to support meaning construction despite persistent efficiency-based constraints in decoding and fluency. Overall, the results indicate that twice-exceptionality reflects a structurally uneven cognitive–academic configuration, underscoring the importance of multidimensional assessment approaches that simultaneously evaluate reasoning strengths and reading-specific vulnerabilities. Full article

Creative problem solving often fails because people rely on heuristic responses reinforced by prior experience. According to the default–interventionist account, analytic intervention can override these heuristic defaults only when the semantic system provides access to competing representations. We tested this prediction using a modified Chinese Remote Associates Task in which two factors were independently manipulated: semantic accessibility (high vs. low) and situational induction (strong vs. weak). A significant interaction emerged: strong induction impaired performance only under low semantic accessibility, whereas high semantic accessibility was associated with attenuated induction costs. This pattern is consistent with semantic accessibility serving as a cognitive buffer that may support analytic override of induced heuristic defaults. A separate comparison between induction and non-induction trials confirmed that induction reliably produced a mental set. These findings resolve conflicting claims about the role of semantic knowledge in creativity by showing that knowledge both constrains and enables insight depending on its interaction with experience-driven heuristics. Full article