Search Results (1,134)

Elevated risk for schizophrenia is associated with a variation in the DTNBP1 gene encoding dysbindin-1, which may underpin cognitive impairments in this prevalent neuropsychiatric disorder. The cognitive symptoms of schizophrenia involve anomalies in glutamate and dopamine signaling, particularly within the prefrontal cortex (PFC). Indeed, mice with Dtnbp1 mutations exhibit spatial and working memory deficits that are associated with deficits in glutamate release and NMDA receptor function as determined by slice electrophysiology. The present study extended the results from ex vivo approaches by examining how the Dtnbp1 mutation impacts high K+- and NMDA receptor-evoked glutamate release within the PFC using in vivo microdialysis procedures. Dntbp1 mutant mice are also reported to exhibit blunted K+-evoked dopamine release within the PFC. Thus, we examined also K+- and NMDA-evoked dopamine release within this region. Perfusion of high-concentration K+ or NMDA solutions increased the PFC levels of both dopamine and glutamate in wild-type (WT) but not in Dtnbp1 mutants (MUT), whereas mice heterozygous for the Dtnbp1 mutation (HET) exhibited blunted K+-evoked dopamine release. No net-flux microdialysis procedures confirmed elevated basal extracellular content of both glutamate and dopamine within the PFC of HET and MUT mice. These in vivo microdialysis results corroborate prior indications that Dtnbp1 mutations perturb evoked dopamine and glutamate release within the PFC, provide in vivo evidence for impaired NMDA receptor function within the PFC, and suggest that these neurochemical anomalies may be related to abnormally elevated basal neurotransmitter content. Full article

The hypothalamic–pituitary–adrenal (HPA) axis responsivity is influenced by early life experience and also modified by the environment an individual experiences as an adult. Because laying hens are transferred from rearing to laying farms at 16–18 weeks of age, they are well suited to study the interaction effect between early (rearing) and adult (laying) environments on physiology and behaviour. In the European Union, there is a move towards cage-free systems for laying hens, but globally, the majority of layers are kept in conventional or furnished cages. Conventional cages have no enrichment, whereas furnished cages have little enrichment. Both cage types limit the movement of birds and the expression of highly motivated behaviours. Lack of enrichment may lead to under-stimulated birds that are more sensitive to stress and fear-inducing challenges later in life. Fearfulness has been linked to feather pecking, which has negative consequences for animal welfare and productivity. Previous research has shown that birds reared in cages are more fearful and perform more poorly in a test of spatial cognition than birds reared in aviaries when tested within five weeks after transition to adult housing. However, recent results suggest that these effects might not be long-lasting. We, therefore, tested the effect of the early (rearing) (aviary vs. cage) and adult (laying) environments (standard vs. additionally enriched furnished cages) on the corticosterone response to restraint in birds that were 35 weeks into lay (i.e., 52 weeks of age) and assessed their plumage condition. We hypothesised that a lower level of enrichment, both during rearing and adulthood, would represent a lower level of stimulation, resulting in a stronger corticosterone response to restraint and poorer feather cover. Both stressed (restrained) and control birds increased their corticosterone levels from the first (baseline) to second sample (p < 0.01 for both), but the increase in the restrained group was significantly higher than in the control group (F_{1, 111} = 9.51; p = 0.003). There was no effect of the early environment, but birds housed in standard furnished cages as adults had overall higher corticosterone levels than birds housed in enriched furnished cages regardless of their early life environment (F_{1, 51} = 4.12; p = 0.048). Neither early nor adult housing influenced the feather score except for on the belly, where birds housed in enriched cages as adults had a poorer feather score, contrary to our prediction. In conclusion, no effect of the early environment on HPA axis responsivity to an acute stressor could be detected at 52 weeks of age, but adult enrichment had a favourable effect on overall corticosterone levels. Full article

Background: In response to the rising mental health concerns and cognitive decline associated with the human brain’s neurogenesis, which continues until the tenth decade of life but declines with age and is suppressed by poor environments, this pilot study investigates how physical environments may influence public health proxy measures of neurogenesis in humans. This pilot study focuses on the residential environment where people spend most of their time and age in place, exploring the dependency of depression, anxiety, and cognitive impairment variations on spatial and lifestyle variables. Methods: A total of 142 healthy adults in England completed a survey consisting of PHQ-8, GAD-7, and CFI questionnaires and other questions developed to capture the variance in spatial and lifestyle factors such as time spent at home, house type layout complexity, spaciousness, physical activity, routine and spatial novelty, and perceived loneliness. Results: Extensive time spent at home has adverse effects on all measures, while multi-storey houses perform better than single-story houses with positive correlations with physical activity and spatial novelty. Separate regression models on the variance in depression, as the most salient dependent variable and reliably associated with neurogenesis, reveal that getting out of the house explains 20.5% of the variance in depression symptoms. At the scale of the house, multi-storey houses explain 16.5% of the variance. Both percentages are closer to the effect of loneliness, which we found to explain 26.6% of the variance in depression. Conclusions: The built environment appears to be significantly associated with changes in cognitive function and mental health symptoms associated with neurogenesis. This pilot study shows the equally important effect of physical and social enrichment, offering critically needed insights for neuroarchitecture and brain health research that is interested in public health. Full article

Background: The use of virtual reality (VR) has great potential for medical research and practice, which can help expand rehabilitation activities. This study aimed to evaluate the acceptability and feasibility of the original protocol VR multitasking cognitive training (CT) in both a healthy group and cardiac surgery patients. Methods: A specialized hardware and software complex was developed and tested on both a group of 25 practically healthy individuals, mean age 22.9 years (SD 2.57), and 25 cardiac surgery patients, mean age 62.2 years (SD 7.35). The participants were instructed to complete one session of multitasking CT within the VR complex. Psychometric testing and EEG studies were conducted. Results: All participants were highly accepting of the intended future use, attitude, and pleasure of the training. The healthy subjects demonstrated a statistically significant improvement in attention and spatial skills after VR (p ˂ 0.05). The EEG data revealed a significant increase in alpha power compared to pre-experiment levels (p ˂ 0.0001). The theta/alpha ratio significantly decreased after the VR multitasking CT as compared to the baseline (p ˂ 0.0001). Conclusions: The data obtained indicate that the original training protocol for multitasking CT using VR is acceptable and easy to use for both healthy individuals and cardiac surgery patients. Full article

In this study, we examined the application of neurostructural principles to the design of public spaces on university campuses to optimize students’ learning efficiency, social interactions, and psychological well-being. Using Hainan University in China as a case study, a descriptive analysis was used to evaluate the case study design of the data. Data on students’ preferences for and satisfaction with public learning spaces (libraries, student centers, and open learning areas) were also collected through a questionnaire. The questionnaire was based on the four stages of the AIDA (Attention, Interest, Desire, and Action) model and covered basic information about the participants and their first impressions of the learning spaces, design element preferences, emotional and cognitive influences, and willingness to participate in improving the design of campus spaces. Data were analyzed using quantitative methods, including frequency analysis and score aggregation, to assess the students’ satisfaction with the existing design elements of the learning space and their suggestions for potential improvements. A random sample of students enrolled at Hainan University was used to ensure that the data were representative. The results of the study indicate that the rational allocation of natural light, the optimization of the acoustic environment, the adoption of soothing color schemes, and flexible spatial layouts are effective at relieving students’ psychological stress, enhancing their academic performance, and facilitating social interactions. Some of the existing designs are already in line with neurostructural principles, but there is still room for improvement, especially in terms of color schemes and spatial configurations. Students have positive attitudes towards participating in campus space improvement, with especially high interest in light optimization, spatial layout, and the use of natural materials. This study verifies the effectiveness of using neural structure principles in campus public spaces by establishing an empirical model, proves its positive effect on the quality of the campus environment and students’ well-being, and provides empirical evidence and theoretical support for future campus design. Full article

Background/Objectives: Alzheimer’s disease (AD) remains incurable, highlighting the need for new and diverse animal models to better understand its complex mechanisms. This study compares various injected animal models of AD, focusing on the main theories that explain the disease; Methods: Female Wistar rats (10-months old) were administered intracebroventricularly by artificial cerebrospinal fluid (aCSF) (Control), beta amyloid Aβ1-42 (BA), okadaic acid (OKA), lipopolysaccharides (LPS), buthionine sulfoximine (BSO) or by a mixture of these different molecules (MLG). Cognitive performance was assessed one week or one month after stereotaxic surgery; Results: Our results, show that only the Aβ and the MLG induced a persistence and progressive deficits in the working memory, recognition memory and spatial memory in rats. As the hippocampus (HIP) and the prefrontal cortex (PFC) are particularly involved in memory behavior, we analyzed long-term neuroadaptations in these brain subregions using spectrophotometric and histological methods to assess oxidative stress changes and neuronal loss, respectively. We found that the behavioral impairments in memory and learning were accompanied by irreversible oxidative stress changes and neurodegenerescence, particularly in the HIP; Conclusions: This study provides promising data on the modeling of AD in order to develop an effective therapeutic approach. Full article

Alarm sounds significantly influence a user’s sensory perception while driving, directly affecting driving judgement and safety. Personal experience and the environment play an important role in information cognition, but they are rarely considered in the current warning design. We propose a methodology enabling engineers and designers to locally optimize the advanced driver-assistance system (ADAS) functions and applied it to the Shanghainese ecosystem to improve performance. The alarm sound content is studied and sorted out to conduct user research and spatial sound collection evaluation. Local optimization and the subdivision of data are carried out to generate a user perception set on which the experimental tests and evaluation analysis are implemented. The framework increases the overall efficiency of auditory warning systems and minimizes Human–Machine Interface misunderstandings, thus providing the optimal security scheme for users. Full article

Spatial navigation allows animals to understand their environment position and is crucial to survival. An animal’s primary mode of spatial navigation (horizontal or vertical) is dependent on how they naturally move in space. Observations of the domestic dog (Canis familiaris) have shown that they, like other terrestrial animals, navigate poorly in vertical space. This deficit is visible in their use of multi-story buildings. To date, no research has been conducted to determine if dogs can learn how to navigate in an anthropogenic vertical environment with the help of a landmark. As such, we herein investigate the effect of the addition of a visual or olfactory landmark on dogs’ ability to identify when they are on their home floor. Subject behaviors toward their home door and a contrasting floor door were compared before and after exposure to a landmark outside of their home door. While subjects initially showed no difference in latency to approach an apartment door on their home or a wrong floor, we found a significant difference in latency to approach the doors in the test trials for subjects who approached the doors in every trial. Other findings are equivocal, but this result is consistent with the hypothesis that dogs can learn to navigate in vertical space. Full article

Background/Objectives: Previous research has suggested that Western musicians, who generally demonstrate proficiency in reading musical scores, exhibit superior performance in visuospatial working memory tasks compared to non-musicians. Evidence indicates brain activation in regions such as the left inferior parietal lobe and the right posterior fusiform gyrus during music reading, which are associated with visuospatial processing. This study aimed to explore how musical training influences spatial working memory and to examine the relationship between self-assessment accuracy and cognitive performance. Methods: A visuospatial working memory test, the Corsi block-tapping test (CBT), was administered to 70 participants, including 35 musicians with experience in music reading and 35 non-musicians. CBT performances were compared between groups, controlling for sex and age differences using analysis of covariance. Participants were also asked to self-assess their visuospatial capabilities. Results: Musicians performed significantly better than non-musicians in the CBT and demonstrated greater metacognitive accuracy in evaluating their visuospatial memory capacities. A total of 46.34% of musicians who claimed good performance on the CBT did in fact perform well, in comparison with 14.63% of non-musicians. Sex influenced the outcomes of spatial working memory, while age did not significantly affect performance. Conclusions: This self-awareness of visuospatial capabilities reflects a form of metacompetence, encompassing reflective thinking and the ability to assess one’s cognitive skills. Furthermore, while differences in spatial working memory between musicians and non-musicians appear to be related to executive functions associated with general music practice, further investigation is needed to explore other potential influences beyond musical experience. Full article

Background: Hypofunction of the glutamate system in the brain is one of the pathophysiological hypotheses for schizophrenia. Accumulating animal and clinical studies show that sarcosine (N-methylglycine), a glycine transporter-1 inhibitor, is effective in ameliorating the negative and cognitive symptoms of schizophrenia. The aims of the present study were to observe the effects of sarcosine on neuronal activity in the dorsal CA1 (dCA1) hippocampal neurons within an NMDA receptor hypofunction model induced by MK801. Methods: We applied in vivo calcium imaging to observe the dynamics of fluorescence from the dCA1 hippocampal neurons when the mice were exploring in an open field. Using this tool, we directly measured and compared neuronal properties between sarcosine-treated and untreated mice. At the same time, the physiological function of the neurons was also quantified by measuring their place fields. Results: Our data demonstrated that MK-801 (0.2 mg/kg) diminished the fluorescence intensity of dCA1 neurons that had been genetically modified with a calcium indicator. MK-801 also significantly increased the correlation coefficient between the fluorescence dynamics of pairs of cells, a feature that may be linked to the symptom of disorganization in human patients with schizophrenia. The spatial correlations of place fields in the mice were impaired by MK-801 as well. Injected sarcosine (500 mg or 1000 mg/kg) significantly alleviated the abovementioned abnormalities. Conclusions: Our data provide evidence to support the use of sarcosine to alleviate symptoms of schizophrenia, especially hippocampus-related functions. Full article

This study investigates the key factors which influence design learners’ behavioral intention to collaborate with AI in the educational metaverse (EMH-AIc). Engaging design learners in EMH-AIc enhances learning efficiency, personalizes learning experiences, and supports equitable and sustainable design education. However, limited research has focused on these influencing factors, leading to a lack of theoretical grounding for user behavior in this context. Drawing on social cognitive theory (SCT), this study constructs a three-dimensional theoretical model comprising the external environment, individual cognition, and behavior, validated within an EMH-AIc setting. By using Spatial.io’s Apache Art Studio as the experimental platform and analyzing data from 533 design learners with SPSS 27.0, SmartPLS 4.0, and partial least squares structural equation modeling (PLS-SEM), this study identifies those rewards, teacher support, and facilitating conditions in the external environment, with self-efficacy, outcome expectation, and trust in cognition also significantly influencing behavioral intention. Additionally, individual cognition mediates the relationship between the external environment and behavioral intention. This study not only extends SCT application within the educational metaverse but also provides actionable insights for optimizing design learning experiences, contributing to the sustainable development of design education. Full article

Spatial ability (SA) is a critical cognitive skill across various disciplines, particularly in architecture and engineering. This research, comprising two main studies, investigates the relationship between SA and academic performance among first-year students. The first study examines the impact of the targeted Integrated Hybrid Training (IHT) SA intervention on the achievements of two main groups: engineering (electrical, software, and chemical) students and architecture students. The results indicate that, while the intervention significantly improved SA, the impact on academic performance varied. Architecture students, whose curriculum relies heavily on spatial reasoning, showed significant gains in courses such as studio design, with higher SA scores correlating with improved grades. Engineering students exhibited SA improvement without corresponding gains in the first-year core courses like calculus and physics. The second study focuses on architecture students who did not receive the intervention, revealing a strong positive correlation between inherent SA and success in architecture-specific courses. Correlation coefficients (r) ranged from 0.46 to 0.67, with adjusted p-values between 0.007 and 0.024, underscoring SA’s importance in architecture. These findings suggest that integrating SA training into architectural education can enhance academic performance, while disciplines might benefit from specialized SA training introduced or expanded in later years. This research contributes to educational theory by demonstrating SA’s impact across disciplines and supports the development of customized SA training programs. Future studies should explore long-term benefits, advanced SA training technologies, and individual differences in response to spatial interventions, providing insights for curriculum development in spatially demanding fields. Full article

Background/Objectives: Unlike enriched environments for rodents, human-built environments often hinder neuroplasticity through sedentary lifestyles, to which exercise can merely overcome its adverse effects. This paper introduces "environmental affordance for physical activity" to quantify the potential of spatial layout designs to stimulate activity and sustain neuroplasticity, mainly hippocampal neurogenesis. Methods: A novel framework links metabolic equivalents (METs) that can be afforded by the spatial layout of the built environment to its role in increasing the brain-derived neurotrophic factor (BDNF)—a biomarker that promotes and sustains adult hippocampal neurogenesis and synaptic plasticity. Equations are developed to assess the built environment’s affordance for physical activity through BDNF changes measurable after brief exposure to the built environment for 20–35 min. Results: The developed equations are evidenced to be feasible to cause BDNF release through low- to moderate-intensity physical activity. This model provides a feasible assessment tool to test the built environment’s effectiveness towards neurosustainability. Conclusions: By sustaining neurogenesis, the environmental affordance for physical activity holds promise for improving mental health and preventing cognitive decline. Full article

Remote sensing (RS) and Geographic Information Systems (GISs) provide significant opportunities for monitoring and managing natural resources across various temporal, spectral, and spatial resolutions. There is a critical need for natural resource managers to understand the expanding capabilities of image sources, analysis techniques, and in situ validation methods. This article reviews key image analysis tools in natural resource management, highlighting their unique strengths across diverse applications such as agriculture, forestry, water resources, soil management, and natural hazard monitoring. Google Earth Engine (GEE), a cloud-based platform introduced in 2010, stands out for its vast geospatial data catalog and scalability, making it ideal for global-scale analysis and algorithm development. ENVI, known for advanced multi- and hyperspectral image processing, excels in vegetation monitoring, environmental analysis, and feature extraction. ERDAS IMAGINE specializes in radar data analysis and LiDAR processing, offering robust classification and terrain analysis capabilities. Global Mapper is recognized for its versatility, supporting over 300 data formats and excelling in 3D visualization and point cloud processing, especially in UAV applications. eCognition leverages object-based image analysis (OBIA) to enhance classification accuracy by grouping pixels into meaningful objects, making it effective in environmental monitoring and urban planning. Lastly, QGIS integrates these remote sensing tools with powerful spatial analysis functions, supporting decision-making in sustainable resource management. Together, these tools when paired with in situ data provide comprehensive solutions for managing and analyzing natural resources across scales. Full article

The traditional clan-based structure of village society is gradually disintegrating due to rural population outflow and excessive tourism development. The construction of a diversified development model oriented toward the needs of local villagers is key to sustainable development and the preservation of cultural heritage. In this study, a case analysis of the Ding, Shijiagou, and Yanjing Villages in Shanxi Province was conducted. The research approach of “cognitive recognition–spatial structure–social connections” was used to integrate cognitive maps and space syntax with social network analysis to quantitatively analyze the cognitive elements in these villages, with the establishment of a collective cognitive map, global integration value maps, and villagers’ intention element cognitive networks based on functional types. The spatial cognition patterns and social network structures of these villages were explored and analyzed in relation to the complex interactions between villages from the perspectives of spatial cognitive preference, spatial accessibility, and social interaction to compensate for the limitations of using a single analytical approach. Differences in village cognition patterns were found—the efficient use of different types of space is influenced by spatial cognitive preferences; the degree of spatial integration affects the distribution of functional spaces, with high-integration areas tending to overlap with high-cognition spaces and featuring strong accessibility and connectivity; the density and stability of social networks significantly influence spatial cognition and the interaction patterns in villages; high-density networks enhance the frequency of interactions between villagers and the effectiveness of space utilization; and differentiation in spatial cognition among different groups may reduce village space integration, thereby influencing the overall social functions and cultural heritage of the village. Therefore, it is crucial to enhance the connectivity and influence of key nodes, optimize spatial layouts and social network structures, and introduce modern elements while preserving traditional culture, an approach that can promote social interaction and spatial vitality in the villages. This study provides a scientific basis and serves as a reference for the construction of sustainable development models for villages. Full article