This brief note points toward new potentials that lie at the interface between research on landscape archaeology and cognitive science. Recent advances in the cognitive and neural sciences have sharpened our understanding of spatial cognition, by providing new explanations for how the brain reduces the dimensionality of complex topography and geography for effective navigation. This research suggests that space is represented in grid-like structures in the brain, and that grid-like forms are a basic ingredient of spatial processing. At the same time, recent archaeological research shows that the organization of larger-scale space into linear forms, and in particular grid-like landscapes, is a relatively recent social invention, which suggests that these forms are historically and culturally contingent. Taken together, this research raises the question of how the dimensionality-reducing function of grid-like processing in the brain is related to higher-level conceptual and imaginative processing of space needed to plan and negotiate large-scale landscape structures. This brief note motivates this question and argues for further exploration of the relationships between biological, cognitive, and cultural processes related to space and its conceptualization between these fields of research.
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http://dx.doi.org/10.1080/1751696X.2022.2115312 | DOI Listing |
Ir J Psychol Med
January 2025
Academic Department Child & Adolescent Psychiatry, UCD School of Medicine, University College Dublin, Dublin, Ireland.
Variation exists in our attitude and behaviour towards food and exercise, resulting in different degrees of health and ill health. Cultural and economic factors contribute to this, alongside personal choices, leading to a spectrum from normative eating, through disordered eating to the extremes of eating disorders (EDs). Understanding the intricate interplay between biological, psychological, and sociocultural factors to eating, exercise and body image is paramount to understand the current state regarding EDs and to deliver/develop multifaceted and individualised treatments.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
February 2025
Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK.
In this editorial, I reflect on the implications of social, technological and cultural change for children and young people. Whilst we have a reasonably good understanding of trends in certain aspects of child development (e.g.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Institute for Health, Health Care Policy and Aging Research, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Background: Racial and ethnic disparities in sleep quality and cognitive health are increasingly recognized, yet little is understood about their associations among Chinese older adults living in the United States. This study aims to examine the relationships between sleep health and cognitive functioning in this population, utilizing data from the Population Study of Chinese Elderly in Chicago (PINE).
Methods: This observational study utilized a two-wave panel design as part of the PINE, including 2,228 participants aged 65 years or older who self-identified as Chinese.
J Youth Adolesc
January 2025
School of Psychology, Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, Shaanxi Normal University, Xi'an, China.
Despite extensive research on the relationship between adolescents' prosocial behavior and well-being, few studies have examined the relationships between prosocial acts towards different targets (family, friends, and strangers) and both hedonic and eudaimonic well-being over time, especially within the cultural context of China, where relational closeness are highly emphasized. To address this research gap, the present study conducted a longitudinal investigation involving 514 Chinese adolescents (M = 13.75 years, SD = 1.
View Article and Find Full Text PDFMol Psychiatry
January 2025
Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Modelling the prodrome to severe mental disorders (SMD), including unipolar mood disorders (UMD), bipolar mood disorders (BMD) and psychotic disorders (PSY), should consider both the evolution and interactions of symptoms and substance use (prodromal features) over time. Temporal network analysis can detect causal dependence between and within prodromal features by representing prodromal features as nodes, with their connections (edges) indicating the likelihood of one feature preceding the other. In SMD, node centrality could reveal insights into important prodromal features and potential intervention targets.
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