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Urbanization has many benefits, but it also is associated with increased levels of mental illness, including depression. It has been suggested that decreased nature experience may help to explain the link between urbanization and mental illness. This suggestion is supported by a growing body of correlational and experimental evidence, which raises a further question: what mechanism(s) link decreased nature experience to the development of mental illness? One such mechanism might be the impact of nature exposure on rumination, a maladaptive pattern of self-referential thought that is associated with heightened risk for depression and other mental illnesses. We show in healthy participants that a brief nature experience, a 90-min walk in a natural setting, decreases both self-reported rumination and neural activity in the subgenual prefrontal cortex (sgPFC), whereas a 90-min walk in an urban setting has no such effects on self-reported rumination or neural activity. In other studies, the sgPFC has been associated with a self-focused behavioral withdrawal linked to rumination in both depressed and healthy individuals. This study reveals a pathway by which nature experience may improve mental well-being and suggests that accessible natural areas within urban contexts may be a critical resource for mental health in our rapidly urbanizing world. More than 50% of people now live in urban areas. By 2050 this proportion will be 70%. Urbanization is associated with increased levels of mental illness, but it’s not yet clear why. Through a controlled experiment, we investigated whether nature experience would influence rumination (repetitive thought focused on negative aspects of the self), a known risk factor for mental illness. Participants who went on a 90-min walk through a natural environment reported lower levels of rumination and showed reduced neural activity in an area of the brain linked to risk for mental illness compared with those who walked through an urban environment. These results suggest that accessible natural areas may be vital for mental health in our rapidly urbanizing world.

Behavioral studies suggest that immersion in nature improves affect and executive attention. However, the neural mechanisms underlying these benefits remain unclear. This randomized controlled trial ( N  = 92) explored differences in self-reported affect and in frontal midline theta (FMθ), a neural oscillation linked to executive attention, between a 40-min, low-intensity nature walk and an urban walk of comparable time and distance—controlling for ambient temperature, humidity, elevation change, walking pace, heart rate, calories burned, and moving time between the two groups. While affect improved for both groups, the nature walkers showed a significantly greater boost in positive affect than the urban walkers. Electroencephalography (EEG) data revealed significantly greater FMθ activity following the urban walk compared to the nature walk, suggesting that the urban walk placed higher demands on executive attention. In contrast, the nature walk allowed executive attention to rest, as indicated by the lower FMθ activity observed after the walk. This study suggests that changes in FMθ may be a potential neural mechanism underlying the attentional strain of urban environments in contrast to the attentional rest in nature.

The Nile Delta has been suffering from complex environmental hazards caused by climate change and human-induced evolvements, which have led to adverse impacts on national food security. An unfavourable nexus between solid waste management issues and extreme hydrological events is examined mainly through extensive field investigation and literature research, which is an emerging issue affecting food safety and security whilst still being overlooked so far. The findings not only reveal the significance of the emerging issue but also support our proposed recommendations in the policy/legislation and technology sphere. This interdisciplinary research employs a holistic lens that covers diverse perspectives, including systemic problems, wastewater treatment, and environmental neuroscience, to explore the relationship between food, climate change, water management, and waste pollution, and to achieve novel discoveries for the practical adaptations of Egypt’s challenges.

ABSTRACT Recent studies indicate that air pollutants not only increase the risk of cardiovascular and respiratory diseases but also have a negative impact on the developing brain. Exposure to airborne particulate matter (PM) and nitrogen dioxide (NO2) may lead to disruption of neural development by interfering with critical maturation processes. In this study, we assessed the impact of prenatal and early life PM10 and NO2 exposure on diffusion Magnetic Resonance Imaging (dMRI) structural measures: fractional anisotropy (FA), mean diffusivity (MD), and fixel‐based analysis (FBA) on a population of 425 10‐ to 13‐year‐old children with attention deficit hyperactivity disorder (ADHD, n = 116), a sensitive, at‐risk population, and typically developing children (TD, n = 309) from the NeuroSmog study. Unlike traditional voxel‐based methods, FBA allows identification of distinct fiber bundles within voxels. We show that early life exposure to NO2 was associated with lower global FA and higher MD measures. However, despite having a large sample size and using state‐of‐the‐art techniques, we found no significant fixel‐level associations. Notably, we found no evidence that individuals with ADHD are more susceptible to the effects of air pollution. Combined with other studies, our results suggest that dMRI measures are the brain outcomes most consistently affected by air pollution. We explored the association between air pollution and global brain measures and fixel‐specific white matter measures in Polish 10–13‐year‐s old children, with and without ADHD. Global measures were associated with NO2 and PM10 but an insignificant interaction between ADHD and pollutants. No associations between air pollution and fixel‐specific measures. Children and air pollution icons are created by Freepik—Flaticon. Brain icon was downloaded from Pixabay.

Background/Objectives: Environmental psychology has long investigated how exposure to natural versus urban environments influences cognitive processes, particularly attention. According to Attention Restoration Theory (ART), natural scenes promote involuntary attention and facilitate recovery from mental fatigue. In this study, we used a modified Posner cueing paradigm to assess how natural and urban backgrounds affect both exogenous (involuntary) and endogenous (voluntary) attention. To capture both behavioral and neural responses, the study collected reaction times (RTs) as a measure of task performance, alongside electrophysiological data (event-related potentials, ERPs: P1, N1, P2, N2, and P3) to explore underlying attentional processes. Methods: Participants completed a visuospatial task in which visual cues anticipated the appearance of a target stimulus, while background images depicting either natural or urban environments remained visible throughout. Attention was assessed under both valid (cue correctly predicts target location) and invalid (cue misleads target location) conditions. Results: The overall findings align with the existing literature: RTs were shorter in valid trials compared to invalid ones. No main facilitation effect from natural backgrounds was observed. However, participants showed slower RTs in invalid trials with natural backgrounds, which may support ART by suggesting that attention restoration could lead to slower responses in certain attentional scenarios. Electrophysiological data reinforced these behavioral results, revealing an increased N2 amplitude in the natural background invalid condition. Conclusions: Despite some limitations, this study provides novel insights into human–nature interactions, offering a fresh perspective on the complex relationship between environment and cognition.

Recently many lifestyle factors have been shown to be associated with brain structural alterations. At present we are facing increasing population shifts from rural to urban areas, which considerably change the living environments of human beings. To investigate the association between rural vs. urban upbringing and brain structure we selected 106 14-year old adolescents of whom half were exclusively raised in rural areas and the other half who exclusively lived in cities. Voxel-based morphometry revealed a group difference in left hippocampal formation (Rural > City), which was positively associated with cognitive performance in a spatial processing task. Moreover, significant group differences were observed in spatial processing (Rural > City). A mediation analysis revealed that hippocampal formation accounted for more than half of the association between upbringing and spatial processing. The results are compatible with studies reporting earlier and more intense opportunities for spatial exploration in children brought up in rural areas. The results are interesting in the light of urban planning where spaces enabling spatial exploration for children may deserve more attention.

One significant obstacle to gaining a widespread awareness of the ongoing climate change is the nature of its manifestations in relation to our perception: climate change effects are gradual, distributed, and sometimes seemingly contradictory. These features result in a lag in collective climate action and sometimes foster climate skepticism and climate denial. While the literature on climate change perception and belief has thoroughly explored its sociocultural and sociopolitical aspects, research on the potential contribution of psychophysiological factors remains scarce. In this perspective paper, we outline evidence and arguments for the involvement of psychophysiological systems such as thermoception, hygroreception, and interoception in modulating climate change awareness. We discuss psychophysiological mechanisms of climate change awareness in animals and humans, as well as possible sources of individual variance in climate change perception. We conclude by suggesting novel research questions which would be worthwhile to pursue in future studies.

The global rise in mental health-related disorders represents a significant health and wellbeing challenge, imposing a substantial social and economic burden on individuals, communities, and healthcare systems. According to the World Health Organization, one in four people globally will be affected by mental or neurological disorders at some point in their lives, highlighting a significant global health concern that warrants carefully considered and innovative responses. While mental health challenges arise from complex, multifaceted factors, emerging research indicates that the built environment—the architecture of our homes, workplaces, and public spaces—may exert a critical but underappreciated influence on mental health outcomes. This paper outlines a novel theoretical framework for how visual stressors in the built environment might trigger neurophysiological stress responses via the HPA and SAM axes, potentially contributing over time to allostatic load. In this paper, it is proposed that chronic physiological strain can alter neuroplastic processes and neurogenesis in key brain regions—such as the hippocampus, prefrontal cortex (PFC), anterior cingulate cortex (ACC), and amygdala—thereby affecting cognitive health, emotional regulation, and overall mental wellbeing. Drawing on the principle of neurosustainability, this paper suggests that long-term exposure to stress-inducing environments may create feedback loops, particularly involving the amygdala, that have downstream effects on other brain areas and may be linked to adverse mental health outcomes such as depression. By presenting this framework, this paper aims to inspire further inquiry and applied experimental research into the intersection of neurophysiology, mental health, and the built environment, with a particular emphasis on rigorous testing and validation of the proposed mechanisms, that may then be translated into practical architectural design strategies for supporting health and wellbeing. In doing so, it is hoped that this work may contribute to a more holistic approach to improving mental health that integrates the creation of nurturing, resilient spaces into the broader public health agenda.

In this study, we investigated the impacts of in-situ nature and urban exposure on human brain activities and their dynamics. We randomly assigned 32 healthy right-handed college students (mean age = 20.6 years, SD = 1.6; 16 males) to a 20 min in-situ sitting exposure in either a nature (n = 16) or urban environment (n = 16) and measured their Electroencephalography (EEG) signals. Analyses revealed that a brief in-situ restorative nature experience may induce more efficient and stronger brain connectivity with enhanced small-world properties compared with a stressful urban experience. The enhanced small-world properties were found to be correlated with “coherent” experience measured by Perceived Restorativeness Scale (PRS). Exposure to nature also induces stronger long-term correlated activity across different brain regions with a right lateralization. These findings may advance our understanding of the functional activities during in-situ environmental exposures and imply that a nature or nature-like environment may potentially benefit cognitive processes and mental well-being.

Biological and artificial intelligence (AI) are often defined by their capacity to achieve a hierarchy of short-term and long-term goals that require incorporating information over time and space at both local and global scales. More advanced forms of this capacity involve the adaptive modulation of integration across scales, which resolve computational inefficiency and explore-exploit dilemmas at the same time. Research in neuroscience and AI have both made progress towards understanding architectures that achieve this. Insight into biological computations come from phenomena such as decision inertia, habit formation, information search, risky choices and foraging. Across these domains, the brain is equipped with mechanisms (such as the dorsal anterior cingulate and dorsolateral prefrontal cortex) that can represent and modulate across scales, both with top-down control processes and by local to global consolidation as information progresses from sensory to prefrontal areas. Paralleling these biological architectures, progress in AI is marked by innovations in dynamic multiscale modulation, moving from recurrent and convolutional neural networks—with fixed scalings—to attention, transformers, dynamic convolutions, and consciousness priors—which modulate scale to input and increase scale breadth. The use and development of these multiscale innovations in robotic agents, game AI, and natural language processing (NLP) are pushing the boundaries of AI achievements. By juxtaposing biological and artificial intelligence, the present work underscores the critical importance of multiscale processing to general intelligence, as well as highlighting innovations and differences between the future of biological and artificial intelligence.