Search Results (902)

Background: With advancing age, cognitive control and postural-gait regulation decline, while dual-task interference intensifies, leading to restricted mobility and increased fall risk. Variable-priority cognitive-motor dual-task training (VPDT) enhances attentional flexibility and task integration by systematically shifting attentional allocation during training. However, its effects on cognitive and physical function remain unclear. Objective: To review the effects of VPDT on cognitive and physical function in older adults. Method: A comprehensive database search was conducted in the PubMed, Embase, Cochrane, Web of Science, PsycInfo, and CINAHL databases from inception to April 2025, relevant articles were selected, data were extracted using a PICO framework and synthesized narratively. Result: Eight controlled trials (n = 284) were included. Across studies, VPDT was generally associated with improvements in functional balance and mobility outcomes, while between-group differences versus fixed-priority dual-task training (FPDT) were inconsistent. Cognitive outcomes were sparsely reported (only one trial), and psychosocial outcomes were assessed in only a small subset of studies, precluding firm inferences regarding cognitive or psychosocial benefits. Overall risk of bias was predominantly “some concerns,” with two studies rated “high risk,” and overall certainty of evidence ranged from low to moderate due to risk of bias, small samples, and heterogeneity in protocols and outcomes. Conclusions: VPDT may improve physical function in older adults, particularly balance and mobility, but current evidence does not demonstrate a consistent incremental advantage over FPDT. Confidence in comparative effects remains limited due to small sample sizes, risk-of-bias concerns, and heterogeneity in intervention design and outcome measurement. Full article

The objective was to evaluate the impact of a 3-month comprehensive rehabilitation program on functional outcomes and caregiver burden in a 73-year-old male with end-stage Parkinson’s disease (PD) following pallidotomy. Baseline evaluation included cardiorespiratory, digestive, and neuromusculoskeletal assessments, complemented by a multidomain geriatric assessment: activities of daily living (Barthel Index), cognition (MoCA), nutrition (MNA), mental health (GDS, UCLA Loneliness Scale), sarcopenia (AWGS criteria), frailty (Clinical Frailty Scale), fatigue (FSS), mobility (De Morton Mobility Index), fall risk (Morse Fall Scale), and caregiver burden (Zarit Burden Interview). The patient then underwent a structured 3-month rehabilitation program consisting of strengthening and flexibility training, cardiopulmonary endurance exercise, functional task practice, and psychological and nutritional counseling, with monthly evaluations. At baseline, the patient presented with generalized rigidity, fatigue, low cardiorespiratory endurance, total ADL dependence, malnutrition, sarcopenia, frailty, loneliness, and high caregiver burden, but intact cognition and mood. After rehabilitation, he achieved short distance walking, improved appetite and weight gain, and reduced scores in Zarit Burden, Fatigue Severity Scale, and MNA. Functional independence (Barthel Index) and respiratory capacity (single-breath count) improved, while frailty and sarcopenia remained stable without progression. In advanced PD, comprehensive rehabilitation can yield meaningful gains in mobility, nutrition, and functional independence while alleviating caregiver burden. Frailty and sarcopenia remain strongly associated with disease progression and highlight the need for sustained multidisciplinary care for both patients and caregivers. Full article

Behavioral flexibility allows animals to adjust their behavior in response to environmental changes. Hummingbirds, with their tetrachromatic color vision and enlarged hippocampal formation, represent an excellent model for studying cognitive flexibility in color discrimination. We evaluated three components of behavioral flexibility (exploration, exploitation, and inhibition) in two sympatric hummingbird species, the resident White-eared Hummingbird (Basilinna leucotis) and the migratory Broad-tailed Hummingbird (Selasphorus platycercus), using a reversal learning task with artificial flowers of different colors for evaluating exploration, exploitation, and inhibition simultaneously. Birds were trained to associate nectar rewards with either spectrally similar (red-yellow) or dissimilar (red-violet) color pairs. Our results revealed interspecific differences in exploration behavior depending on the rewarding color during training, while both species showed similar exploitation and inhibition capacities. The migratory S. platycercus showed stronger neophobia toward non-red flowers compared to the resident B. leucotis. Both species quickly learned the color-rewarding association when red was rewarding but required more visits when non-red colors were rewarding. These findings suggest that while both species can flexibly adjust their foraging behavior, differences in their ecology and migratory behavior may influence their initial responses to novel color cues. Full article

Epileptogenesis is commonly defined by the emergence of spontaneous seizures after an initial insult; however, convergent experimental and clinical evidence indicates that the underlying disease process begins well before seizures become clinically detectable. During this pre-seizure phase, persistent molecular cascades remodel synaptic plasticity, circuit architecture, and glial–immune signaling. These processes are associated with trait-like alterations in cognition, affect, and behavior. Despite their clinical relevance, these neurobehavioral signatures remain poorly integrated into molecular models of epileptogenesis and are rarely considered as translational biomarkers of disease progression. This review synthesizes evidence linking core epileptogenic molecular cascades—maladaptive synaptic plasticity, glial–immune signaling, oxidative–metabolic stress, and activity-dependent gene regulation—to reproducible alterations in executive control, cognitive flexibility, emotional regulation, and motivational–social behavior. We outline an integrative framework in which these phenotypes are conceptualized as system-level readouts of progressive network reconfiguration rather than nonspecific “comorbidities” or mere consequences of recurrent seizures. Within this perspective, neurobehavioral markers can complement electrophysiological and molecular measures by capturing disease-relevant changes during windows when anti-epileptogenic interventions would be most effective. To increase mechanistic specificity, we provide representative pathway and gene-level anchors across epileptogenesis stages, a structured molecular-to-neurobehavioral mapping, and an operational biomarker panel specifying confounders and minimal controls. These anchors are included to ground the framework in experimentally documented molecular nodes with stage-dependent relevance; examples are representative rather than exhaustive, and evidence strength is indicated as preclinical mechanistic versus associative human observations. Finally, we discuss methodological requirements for biomarker validity (specificity, temporal anchoring, and cross-model consistency) and outline how integrating molecular and neurobehavioral trajectories may refine target discovery and improve the translation of anti-epileptogenic strategies. Conceptualizing epileptogenesis as a progressive disease process with measurable pre-seizure neurobehavioral signatures may broaden biomarker strategies beyond seizure occurrence and support the development of disease-modifying interventions. Full article

Hypnosis has traditionally been conceptualized as a clinical technique for reducing physiological symptoms (e.g., pain, nausea) and psychological symptoms (e.g., anxiety, intrusive thoughts), yet emerging neuroscientific evidence suggests it operates through the fundamental mechanisms of emotional regulation and self-integration. This integrative review synthesizes research on clinical hypnosis from cognitive neuroscience, affective science, and clinical practice to examine how hypnotic phenomena modulate large-scale brain networks—particularly the default mode network (DMN), executive control network (ECN), and salience network (SaN)—to reorganize emotional experience and self-referential processing. We propose a formal mechanistic model in which hypnotic induction produces heightened experiential plasticity through coordinated network reconfiguration, enabling adaptive emotion regulation and reduced dissociative fragmentation. Central to this framework is the construct of Fundamental Peace (FP), operationalized as a dynamic neuro-experiential state characterized by: (1) flexible attentional control without effortful suppression; (2) emotional coherence across self-states; (3) reduced self-referential rigidity; (4) compassionate self-awareness. Unlike equanimity (affective neutrality) or well-being (positive evaluation), Fundamental Peace represents integrated regulatory capacity under changing conditions. Key findings from neuroimaging studies demonstrate that hypnotic states consistently reduce DMN activity, enhance ECN-SaN coupling, and modulate connectivity patterns associated with self-referential processing. Meta-analytic evidence from 85 controlled experimental trials shows robust pain reduction effects, while clinical studies document improvements in trauma-related dissociation and emotional dysregulation. We critically evaluate this framework against alternative theories (dissociated control, cold control, predictive processing, social-cognitive models), specify testable predictions, and assess evidence quality across neuroimaging and clinical domains. Implications for trauma treatment, clinical implementation, and future research integrating causal inference methods are discussed, alongside ethical and cultural considerations. Full article

This study investigates the impact of a Virtual Reality (VR)-based intervention on the enhancement of executive functions—cognitive flexibility, inhibitory control, and working memory—in children diagnosed with Autism Spectrum Disorder (ASD). Employing a single-case experimental design with repeated measures, the research was conducted with two male participants, aged 9 and 10, both formally diagnosed with ASD. The intervention was structured into four phases: Baseline (no training), Intervention (targeted VR training), Generalization (skill transfer testing), and Follow-up (maintenance assessment). Each participant engaged in a total of 18 tasks (six per executive function), delivered through immersive VR environments featuring gamified elements, adaptive feedback, and increasing difficulty. Each task consisted of up to 15 sub-items, scored as correct or incorrect. Results indicate consistent improvements across executive function domains during the intervention phase, with partial maintenance at follow-up and evidence of task generalization. Given the single-case framework and limited sample size, findings should be interpreted as exploratory and hypothesis-generating rather than population-generalizable. The study provides proof-of-concept evidence supporting the feasibility and potential of immersive VR-based executive function training for ASD populations, warranting further validation through larger-scale controlled trials. Full article

The mental health issues of medical postgraduate students are increasingly prominent, and it is urgently necessary to explore the stressors and protective factors. This study adopted an integrative approach to examine the moderating role of psychological flexibility in the relationship between multiple types of life stress and mental health. A total of 5819 medical postgraduate students from a medical university and its affiliated hospitals in Beijing were surveyed in a multi-center cross-sectional study. Measures included psychological worry, supervisory relationship, work–life balance, school support, psychological flexibility, and psychological health. The results showed that all four types of stressors were significantly associated with mental health. Psychological worry was positively associated with psychological distress, while the other three variables were negatively associated with it. Psychological flexibility was negatively associated with psychological distress and the relationship between each stressor and psychological health was weaker with higher levels of psychological flexibility. These findings highlight the heterogeneity in the pathways by which different stressors affect psychological health, underscore the critical role of psychological flexibility in coping with internally generated cognitive stress, and provide theoretical and practical implications for psychological interventions among medical postgraduates. Full article

Color metaphors may shape how people mentally represent abstract legal values such as justice and thereby influence legal socialization and law-related cognition. We tested whether black/white color terms are metaphorically linked to justice conceived specifically as a legal value, and whether these linkages vary with task demands. In two preregistered experiments that controlled for affective valence, word frequency, and semantic relatedness, Experiment 1 employed a Stroop-style lexical-judgment task with law-relevant terms and found faster responses to justice-related (legal) words than to injustice-related words and higher accuracy for white-colored stimuli, but no reliable color × meaning interaction—suggesting the absence of an automatic color–justice congruency effect during early, automatic processing. Experiment 2 used a translation-matching paradigm in which participants selected black or white translations for unfamiliar foreign words; here, participants systematically matched justice-related (legal) items with white and injustice-related items with black at rates above chance, revealing explicit color–justice associations. Together, the results point to a robust mental linkage of white with justice as a legal value, while black–injustice mappings emerge primarily under explicit selection demands. These findings suggest that black/white color metaphors organize law-related moral cognition but are flexibly activated depending on cognitive task and processing level. Full article

This study examined associations between vocabulary knowledge, reading fluency, cognitive flexibility, and metacognitive monitoring accuracy in reading comprehension among fifth-grade students. Participants (N = 104) completed measures of cognitive–linguistic abilities and reading comprehension, with global metacomprehension judgments after reading and item-level confidence ratings. Metacognitive monitoring accuracy was assessed using calibration of global metacomprehension judgments and item-level confidence ratings. Calibration bias (confidence minus performance) indexed miscalibration direction, and its absolute value indexed calibration accuracy. Resolution reflected discrimination between correct and incorrect item-level responses. Structural equation modeling (SEM) was used exploratorily to examine theoretically motivated direct and indirect pathways via reading comprehension. Vocabulary knowledge showed the strongest associations with calibration accuracy and resolution, fully mediated by comprehension. Reading fluency showed a dual pattern: it contributed positively to resolution through comprehension, while also showing direct associations with lower calibration accuracy, indicating greater miscalibration and overconfident judgment tendencies among more fluent readers. Cognitive flexibility was not significantly related to any monitoring index. By jointly examining distinct indices of monitoring accuracy and separating comprehension-mediated from direct pathways, the study clarifies how cognitive–linguistic abilities may support or bias metacognitive monitoring in developing readers. Linguistic abilities, particularly vocabulary and fluency were central to students’ comprehension monitoring accuracy. Full article

This quasi-experimental study examined the effectiveness of Augmented Reality (AR)-enhanced instruction on creativity development in Malaysian Design and Technology education. Forty-six, fifteen-year-old female students were assigned to AR-enhanced (n = 23) or traditional instruction (n = 23) groups for a four-week Mechatronic Design unit. Creativity was assessed using an adapted Torrance Tests of Creative Thinking-Figural (TTCT-F) instrument with expert validation and independent scoring by three raters. Bootstrapped ANCOVA (5000 iterations) controlling for pretest differences revealed significant improvements across all Guilford creativity components in the AR group: Elaboration (F = 27.093, p < 0.001, η² = 0.387), Originality (F = 20.445, p < 0.001, η² = 0.322), Fluency (F = 17.896, p < 0.001, η² = 0.294), and Flexibility (F = 7.593, p = 0.008, η² = 0.150). The differential effect pattern suggests AR operates through multiple mechanisms, primarily socio-constructivist collaborative scaffolding, followed by motivational enhancement and cognitive load reduction. These findings demonstrate AR’s substantial potential for creativity development in Design and Technology education, particularly for collaborative elaboration and generative ideation. However, single gender sampling, brief intervention duration, and quasi-experimental design limit generalizability, warranting future research with diverse populations and extended interventions. Full article

In high-density urban environments, outdoor kindergarten spaces are vital for children’s cognitive and social development, yet their design within constrained urban greenery poses a significant challenge. This study investigated how these environments support development through autonomous play. Conducted as a case study in three Beijing kindergartens, it employed a framework analyzing ten environmental elements across four dimensions: terrain space (e.g., open space, slopes), game facilities (fixed and movable), loose materials, and natural elements (water, plants). Behavioral observations were used to examine associations between these elements and children’s play behaviors. The findings suggest that diverse, naturalized, and adaptable combinations of elements may best foster autonomous play. While functional play was predominant, our analysis identified that a core combination of rigid fixtures, shielded places, and loose materials appears to optimally support this play type, which is primarily linked to solitary play. By strategically supplementing this core with elements like moving fixtures and loose objects, the environment can further encourage constructive, dramatic, and exploratory play—forms that show stronger associations with cooperative group play. This reveals a potential pathway through which sequenced environmental provisioning might scaffold the progression from individual to social play, thereby fostering socio-cognitive growth. Consequently, the study proposes three exploratory design principles: the differentiated allocation of elements to target specific play behaviors, deliberate naturalization of the setting, and incorporating dynamic adjustability for flexibility. These hypothesis-generating strategies aim to inform the design of kindergarten outdoor spaces, offering practical guidance for creating more sustainable and child-inclusive urban communities, though their generalizability requires further cross-context validation. Full article

We address a gap in Machine Learning–human alignment research by proposing that methods from Explainable AI (XAI) can be repurposed to quantitatively model human learning. To achieve alignment between human experts and Machine Learning (ML) models, we must first be able to explain the problem-solving strategies of human experts with the same rigor we apply to ML models. To demonstrate this approach, we model expertise in the complex domain of particle accelerator operations. Analyzing 14 years of operational text logs, we construct weighted graphs where nodes represent operational subtasks and edges capture their strategic relationships. We then examine these strategic models across four granularity levels. Our analysis reveals statistically significant changes with expertise at three of four graph levels. Remarkably, despite numerous possible ways to partition subtasks, operators across all expertise levels demonstrate a striking consistency in high-level strategy, partitioning the task into the same three functional communities. This suggests a shared “divide and conquer” cognitive framework. Expertise develops within this stable framework, as experts exhibit greater cognitive flexibility (forming more cross-community connections) and build more refined internal models. The primary contribution of this work is a methodology for creating a quantitative, interpretable baseline of expert human performance. This provides a “ground truth” for future research in alignment between humans and ML models, enabling a new approach to verification: the ML model’s representation of the task can be quantitatively compared against the human expert benchmark to measure their alignment. This paves the way for building safer, more interpretable partnerships between humans and ML models. Full article

This article investigates how cognitive and grammatical mechanisms shape variable singular–plural agreement in Spanish perception–verb constructions, a domain where speakers alternate between agreement with the postverbal NP₂ and agreement with the infinitival complement. Building on usage-based and cognitive linguistics approaches, this study examines whether factors related to perceptual modality and conceptual salience underlie these alternations. A corpus analysis of pronominal infinitive constructions with ver and oír reveals divergent patterns across modalities, with visual perception favoring plural agreement and auditory perception favoring singular agreement. To evaluate whether these tendencies reflect deeper linguistic preferences, an acceptability-rating task systematically manipulated modality, agreement, and animacy. The results show no overall interaction between modality and agreement, but they identify a robust effect of animacy: sentences with human referents received higher ratings than those with inanimate referents. Moreover, animacy modulated the influence of modality and agreement in opposite directions, suggesting that speakers’ evaluations are sensitive to the ontological nature of the perceived stimulus. Together, the findings show that agreement variation reflects flexible conceptual construal and that corpus and experimental evidence offer complementary insights into the interface between morphosyntax, perception and salience in Spanish. Full article

Stroke-induced hand motor dysfunction severely limits activities of daily living (ADL). While conventional systems face challenges in portability and sustained actuation accuracy, this work addresses these limitations through an integrated adaptive control framework and a lightweight 10-degrees-of-freedom (DoFs) tendon-driven exoskeleton. The system employs a rigid–flexible coupling design with a wearable mass under 300 g, ensuring compatibility across various finger lengths. The system is implemented via a motor imagery-based brain–computer interface (MI-BCI); by processing 64-channel electroencephalogram (EEG) signals, the system adaptively maps motor intent into three discrete grasp intensity levels (20%, 50%, and 80% maximum voluntary contraction). To reduce cognitive load and enhance system stability during rehabilitation, we propose a novel “Force–Topology Coupling” control paradigm. This paradigm functions as a synergistic filter, leveraging the correlation between intended effort level (IEL) and grasp taxonomy to map intensity levels to ADL-specific grasps (lateral, precision, and power). Validation with healthy subjects demonstrated 0° to 90° joint mobility and the successful execution of 9 ADL tasks. The results verify the efficacy of utilizing adaptive MI-BCI modulation to trigger biomechanically precise assistance, establishing a foundational computational paradigm with significant potential for clinical stroke rehabilitation. Full article

This study investigated whether resting-state EEG coherence in the alpha, beta, and theta frequency bands predicts working memory performance in healthy middle-aged adults (N = 27, aged 49–64). Unlike prior research focusing on young adults or clinical populations, we examined the relationship between EEG coherence during eyes-open rest and performance on a range of working memory tasks, including updating (n-back task), switching, Stroop, and complex operation span (OSPAN task). Hierarchical regression analyses revealed that demographic variables (age, education) were generally not significant predictors, except for education in the updating task. Inclusion of EEG coherence significantly increased explained variance: alpha, beta, and theta coherence predicted performance in the updating task, while alpha and beta coherence predicted outcomes in the OSPAN task. Specifically, higher alpha coherence was associated with better performance, whereas lower theta and beta coherence predicted superior outcomes, suggesting enhanced neural flexibility and efficient cognitive resource allocation. EEG coherence did not significantly predict performance in the switching or Stroop tasks, likely because these tasks rely more on rapid reactive responses and local neural activity not captured by resting-state synchronization. These findings indicate that resting-state EEG coherence may serve as a frequency-specific neurophysiological marker of working memory in middle age. Future research should explore longitudinal changes and potential interventions, such as neurofeedback, to modulate coherence and enhance cognitive function. Full article