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Polemiti E, Hese S, Schepanski K, Yuan J, Schumann G. How does the macroenvironment influence brain and behaviour-a review of current status and future perspectives. Mol Psychiatry 2024; 29:3268-3286. [PMID: 38658771 PMCID: PMC11449798 DOI: 10.1038/s41380-024-02557-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
The environment influences brain and mental health, both detrimentally and beneficially. Existing research has emphasised the individual psychosocial 'microenvironment'. Less attention has been paid to 'macroenvironmental' challenges, including climate change, pollution, urbanicity, and socioeconomic disparity. Notably, the implications of climate and pollution on brain and mental health have only recently gained prominence. With the advent of large-scale big-data cohorts and an increasingly dense mapping of macroenvironmental parameters, we are now in a position to characterise the relation between macroenvironment, brain, and behaviour across different geographic and cultural locations globally. This review synthesises findings from recent epidemiological and neuroimaging studies, aiming to provide a comprehensive overview of the existing evidence between the macroenvironment and the structure and functions of the brain, with a particular emphasis on its implications for mental illness. We discuss putative underlying mechanisms and address the most common exposures of the macroenvironment. Finally, we identify critical areas for future research to enhance our understanding of the aetiology of mental illness and to inform effective interventions for healthier environments and mental health promotion.
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Affiliation(s)
- Elli Polemiti
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Sören Hese
- Institute of Geography, Friedrich Schiller University Jena, Jena, Germany
| | | | - Jiacan Yuan
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences & CMA-FDU Joint Laboratory of Marine Meteorology & IRDR-ICOE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
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Huang W, Sun X, Zhang X, Xu R, Qian Y, Zhu J. Neural Correlates of Early-Life Urbanization and Their Spatial Relationships with Gene Expression, Neurotransmitter, and Behavioral Domain Atlases. Mol Neurobiol 2024; 61:6407-6422. [PMID: 38308665 DOI: 10.1007/s12035-024-03962-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 01/15/2024] [Indexed: 02/05/2024]
Abstract
Previous neuroimaging research has established associations between urban exposure during early life and alterations in brain function and structure. However, the molecular mechanisms and behavioral relevance of these associations remain largely unknown. Here, we aimed to address this question using a combined analysis of multimodal data. Initially, we calculated amplitude of low-frequency fluctuations (ALFF) and gray matter volume (GMV) using resting-state functional and structural MRI to investigate their associations with early-life urbanization in a large sample of 511 healthy young adults. Then, we examined the spatial relationships of the identified neural correlates of early-life urbanization with gene expression, neurotransmitter, and behavioral domain atlases. Results showed that higher early-life urbanization scores were correlated with increased ALFF of the right fusiform gyrus and decreased GMV of the left dorsal medial prefrontal cortex and left precuneus. Remarkably, the identified neural correlates of early-life urbanization were spatially correlated with expression of gene categories primarily involving immune system process, signal transduction, and cellular metabolic process. Concurrently, there were significant associations between the neural correlates and specific neurotransmitter systems including dopamine, acetylcholine, and serotonin. Finally, we found that the ALFF correlates were associated with behavioral terms including "perception," "sensory," "cognitive control," and "reasoning." Apart from expanding existing knowledge of early-life urban environmental risk for mental disorders and health in general, our findings may contribute to an emerging framework for integrating social science, neuroscience, genetics, and public policy to respond to the major health challenge of world urbanization.
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Affiliation(s)
- Weisheng Huang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Xuetian Sun
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Xiaohan Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Ruoxuan Xu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Yinfeng Qian
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China.
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China.
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3
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Korann V, Thonse U, Garani R, Jacob A, Ramkiran S, Praharaj SK, Bharath RD, Kumar V, Varambally S, Venkatasubramanian G, Rao NP. Association between urban upbringing and functional brain connectivity in schizophrenia. Indian J Psychiatry 2024; 66:71-81. [PMID: 38419936 PMCID: PMC10898520 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_560_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/26/2023] [Accepted: 12/25/2023] [Indexed: 03/02/2024] Open
Abstract
Background Environmental factors considerably influence the development of the human cortex during the perinatal period, early childhood, and adolescence. Urban upbringing in the first 15 years of life is a known risk factor for schizophrenia (SCZ). Though the risk of urban birth and upbringing is well-examined from an epidemiological perspective, the biological mechanisms underlying urban upbringing remain unknown. The effect of urban birth and upbringing on functional brain connectivity in SCZ patients is not yet examined. Methods This is a secondary data analysis of three studies that included 87 patients with SCZ and 70 healthy volunteers (HV) aged 18 to 50 years. We calculated the developmental urbanicity index using a validated method in earlier studies. Following standard pre-processing of resting functional magnetic resonance imaging (fMRI) scans, seed-return on investment (ROI) functional connectivity analysis was performed. Results The results showed a significant association between urban birth and upbringing on functional connectivity in SCZ patients and HV (P < 0.05). In SCZ patients, connections from the right caudate, anterior cingulate cortex, left and right intracalcarine cortices, left and right lingual gyri, left posterior parahippocampal cortex to the cerebellum, fusiform gyri, lateral occipital cortex, and amygdala were significantly associated with the urbanicity index (P < 0.05). Conclusions These study findings suggest a significant association between urban birth and upbringing on functional brain connectivity in regions involved in reward processing and social cognition in SCZ. Assessment of social cognition could have implications in developing an in-depth understanding of this impairment in persons with SCZ.
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Affiliation(s)
- Vittal Korann
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Umesh Thonse
- Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Ranjini Garani
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
- Douglas Research Centre, Montreal, Quebec, Canada
| | - Arpitha Jacob
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Shukti Ramkiran
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Samir K. Praharaj
- Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Rose D. Bharath
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Vijay Kumar
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Shivarama Varambally
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Naren P. Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
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Polemiti E, Hese S, Schepanski K, Yuan J, Schumann G. How does the macroenvironment influence brain and behaviour - a review of current status and future perspectives. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.09.23296785. [PMID: 37873310 PMCID: PMC10593044 DOI: 10.1101/2023.10.09.23296785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The environment influences mental health, both detrimentally and beneficially. Current research has emphasized the individual psychosocial 'microenvironment'. Less attention has been paid to 'macro-environmental' challenges including climate change, pollution, urbanicity and socioeconomic disparity. With the advent of large-scale big-data cohorts and an increasingly dense mapping of macroenvironmental parameters, we are now in a position to characterise the relation between macroenvironment, brain, and behaviour across different geographic and cultural locations globally. This review synthesises findings from recent epidemiological and neuroimaging studies, aiming to provide a comprehensive overview of the existing evidence between the macroenvironment and the structure and functions of the brain, with a particular emphasis on its implications for mental illness. We discuss putative underlying mechanisms and address the most common exposures of the macroenvironment. Finally, we identify critical areas for future research to enhance our understanding of the aetiology of mental illness and to inform effective interventions for healthier environments and mental health promotion.
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Affiliation(s)
- Elli Polemiti
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité, Universitätsmedizin Berlin, Germany
| | - Soeren Hese
- Institute of Geography, Friedrich Schiller University Jena, Germany
| | | | - Jiacan Yuan
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences & CMA-FDU Joint Laboratory of Marine Meteorology & IRDR-ICOE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité, Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
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Senkler B, Freymueller J, Lopez Lumbi S, Hornberg C, Schmid HL, Hennig-Fast K, Horstmann G, Mc Call T. Urbanicity-Perspectives from Neuroscience and Public Health: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:688. [PMID: 36613008 PMCID: PMC9819040 DOI: 10.3390/ijerph20010688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/20/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Urban residency is associated with exposure to environmental factors, which can influence health in many ways. Neuroscientific research, as well as Public Health research, aim towards broadening evidence in the field of Urban Health. However, it is unclear whether the association between urban living and mental illnesses is causal rather than explainable by other selective effects. This review seeks to gather information on the current evidence regarding urban living and neurological outcomes to demonstrate how Public Health and Neuroscience could complement each other in the field of Urban Health. A scoping review was conducted in four electronic databases according to the PRISMA-statement guidelines. 25 empirical studies were included. Outcomes such as schizophrenia and psychotic disorders, social and cognitive functioning were scrutinised. Evidence was found for alteration of brain functioning and brain structure. Most studies researching cognitive functioning or cognitive decline displayed possible protective effects of urban living compared to rural living. The different study designs in Public Health and Neuroscience could profit from each other. Although the comparability of studies is limited by the inconsistent assessments of urbanity. Synergies and potentials to combine aspects of Public Health and Neuroscience in the field of Urban Health to improve population health became apparent.
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Affiliation(s)
- Ben Senkler
- Sustainable Environmental Health Sciences, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany
| | - Julius Freymueller
- Sustainable Environmental Health Sciences, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany
| | - Susanne Lopez Lumbi
- Sustainable Environmental Health Sciences, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany
| | - Claudia Hornberg
- Sustainable Environmental Health Sciences, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany
| | - Hannah-Lea Schmid
- Sustainable Environmental Health Sciences, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany
| | - Kristina Hennig-Fast
- Psychotherapy and Psychosomatics, Department Psychiatry, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany
| | - Gernot Horstmann
- Neurocognitive Psychology, Department Psychology, Faculty of Psychology and Sport Science, Bielefeld University, 33615 Bielefeld, Germany
| | - Timothy Mc Call
- Sustainable Environmental Health Sciences, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany
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Bolhuis K, Mulder RH, de Mol CL, Defina S, Warrier V, White T, Tiemeier H, Muetzel RL, Cecil CAM. Mapping gene by early life stress interactions on child subcortical brain structures: A genome-wide prospective study. JCPP ADVANCES 2022; 2:jcv2.12113. [PMID: 36777645 PMCID: PMC7614163 DOI: 10.1002/jcv2.12113] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/15/2022] [Indexed: 11/18/2022] Open
Abstract
Background Although it is well-established that both genetics and the environment influence brain development, they are typically examined separately. Here, we aimed to prospectively investigate the interactive effects of genetic variants-from a genome-wide approach-and early life stress (ELS) on child subcortical brain structures, and their association with subsequent mental health problems. Method Primary analyses were conducted using data from the Generation R Study (N = 2257), including genotype and cumulative prenatal and postnatal ELS scores (encompassing life events, contextual risk, parental risk, interpersonal risk, direct victimisation). Neuroimaging data were collected at age 10 years, including intracranial and subcortical brain volumes (accumbens, amygdala, caudate, hippocampus, pallidum, putamen, thalamus). Genome-wide association and genome-wide-by-environment interaction analyses (GWEIS, run separately for prenatal/postnatal ELS) were conducted for eight brain outcomes (i.e., 24 genome-wide analyses) in the Generation R Study (discovery). Polygenic scores (PGS) using the resulting weights were calculated in an independent (target) cohort (adolescent brain cognitive development Study; N = 10,751), to validate associations with corresponding subcortical volumes and examine links to later mother-reported internalising and externalising problems. Results One GWEIS-prenatal stress locus was associated with caudate volume (rs139505895, mapping onto PRSS12 and NDST3) and two GWEIS-postnatal stress loci with the accumbens (rs2397823 and rs3130008, mapping onto CUTA, SYNGAP1, and TABP). Functional annotation revealed that these genes play a role in neuronal plasticity and synaptic function, and have been implicated in neuro-developmental phenotypes, for example, intellectual disability, autism, and schizophrenia. None of these associations survived a more stringent correction for multiple testing across all analysis sets. In the validation sample, all PGSgenotype were associated with their respective brain volumes, but no PGSGxE associated with any subcortical volume. None of the PGS associated with internalising or externalising problems. Conclusions This study lends novel suggestive insights into gene-environment interplay on the developing brain as well as pointing to promising candidate loci for future replication and mechanistic studies.
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Affiliation(s)
- Koen Bolhuis
- Department of Child and Adolescent Psychiatry/PsychologyErasmus MC‐SophiaRotterdamThe Netherlands
| | - Rosa H. Mulder
- Department of PediatricsErasmus MC‐SophiaRotterdamThe Netherlands
| | - Casper Louk de Mol
- Department of NeurologyMS Center ErasMSErasmus MCRotterdamThe Netherlands
| | - Serena Defina
- Department of Child and Adolescent Psychiatry/PsychologyErasmus MC‐SophiaRotterdamThe Netherlands
| | - Varun Warrier
- Department of PsychiatryUniversity of CambridgeCambridgeUK
| | - Tonya White
- Department of Child and Adolescent Psychiatry/PsychologyErasmus MC‐SophiaRotterdamThe Netherlands
- Department of Radiology and Nuclear MedicineErasmus MCRotterdamThe Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/PsychologyErasmus MC‐SophiaRotterdamThe Netherlands
- Department of Social and Behavioral SciencesHarvard TH Chan School of Public HealthBostonMassachusettsUSA
| | - Ryan L. Muetzel
- Department of Child and Adolescent Psychiatry/PsychologyErasmus MC‐SophiaRotterdamThe Netherlands
| | - Charlotte A. M. Cecil
- Department of Child and Adolescent Psychiatry/PsychologyErasmus MC‐SophiaRotterdamThe Netherlands
- Department of EpidemiologyErasmus MCRotterdamThe Netherlands
- Molecular EpidemiologyDepartment of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
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Ancora LA, Blanco-Mora DA, Alves I, Bonifácio A, Morgado P, Miranda B. Cities and neuroscience research: A systematic literature review. Front Psychiatry 2022; 13:983352. [PMID: 36440407 PMCID: PMC9684645 DOI: 10.3389/fpsyt.2022.983352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/21/2022] [Indexed: 11/11/2022] Open
Abstract
Background Cities are becoming the socio-economic hubs for most of the world's population. Understanding how our surroundings can mentally affect everyday life has become crucial to integrate environmental sustainability into urban development. The present review aims to explore the empirical studies investigating neural mechanisms underlying cognitive and emotional processes elicited by the exposure to different urban built and natural spaces. It also tries to identify new research questions and to leverage neurourbanism as a framework to achieve healthier and sustainable cities. Methods By following the PRISMA framework, we conducted a structured search on PubMed, ProQuest, Web of Science, and Scopus databases. Only articles related to how urban environment-built or natural-affects brain activity through objective measurement (with either imaging or electrophysiological techniques) were considered. Further inclusion criteria were studies on human adult populations, peer-reviewed, and in English language. Results Sixty-two articles met the inclusion criteria. They were qualitatively assessed and analyzed to determine the main findings and emerging concepts. Overall, the results suggest that urban built exposure (when compared to natural spaces) elicit activations in brain regions or networks strongly related to perceptual, attentional, and (spatial) cognitive demands. The city's-built environment also triggers neural circuits linked to stress and negative affect. Convergence of these findings was observed across neuroscience techniques, and for both laboratory and real-life settings. Additionally, evidence also showed associations between neural social stress processing with urban upbringing or current city living-suggesting a mechanistic link to certain mood and anxiety disorders. Finally, environmental diversity was found to be critical for positive affect and individual well-being. Conclusion Contemporary human-environment interactions and planetary challenges imply greater understanding of the neurological underpinnings on how the urban space affects cognition and emotion. This review provides scientific evidence that could be applied for policy making on improved urban mental health. Several studies showed that high-quality green or blue spaces, and bio-diverse urban areas, are important allies for positive neural, cognitive, and emotional processes. Nonetheless, the spatial perception in social contexts (e.g., city overcrowding) deserves further attention by urban planners and scientists. The implications of these observations for some theories in environmental psychology and research are discussed. Future work should take advantage of technological advancements to better characterize behavior, brain physiology, and environmental factors and apply them to the remaining complexity of contemporary cities.
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Affiliation(s)
- Leonardo A. Ancora
- Institute of Physiology, Lisbon School of Medicine, University of Lisbon, Lisbon, Portugal
| | | | - Inês Alves
- Institute of Molecular Medicine, Lisbon School of Medicine, University of Lisbon, Lisbon, Portugal
| | - Ana Bonifácio
- Centre of Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Lisbon, Portugal
| | - Paulo Morgado
- Centre of Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Lisbon, Portugal
| | - Bruno Miranda
- Institute of Physiology, Lisbon School of Medicine, University of Lisbon, Lisbon, Portugal
- Institute of Molecular Medicine, Lisbon School of Medicine, University of Lisbon, Lisbon, Portugal
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Krabbendam L, van Vugt M, Conus P, Söderström O, Abrahamyan Empson L, van Os J, Fett AKJ. Understanding urbanicity: how interdisciplinary methods help to unravel the effects of the city on mental health. Psychol Med 2021; 51:1099-1110. [PMID: 32156322 DOI: 10.1017/s0033291720000355] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Twenty-first century urbanization poses increasing challenges for mental health. Epidemiological studies have shown that mental health problems often accumulate in urban areas, compared to rural areas, and suggested possible underlying causes associated with the social and physical urban environments. Emerging work indicates complex urban effects that depend on many individual and contextual factors at the neighbourhood and country level and novel experimental work is starting to dissect potential underlying mechanisms. This review summarizes findings from epidemiology and population-based studies, neuroscience, experimental and experience-based research and illustrates how a combined approach can move the field towards an increased understanding of the urbanicity-mental health nexus.
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Affiliation(s)
- Lydia Krabbendam
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BTAmsterdam, The Netherlands
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, 16 De Crespigny Park, LondonSE5 8AF, UK
| | - Mark van Vugt
- Department of Experimental and Applied Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BTAmsterdam, The Netherlands
| | - Philippe Conus
- Treatment and Early Intervention in Psychosis Program (TIPP), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Clinique de Cery, Prilly, Switzerland
| | - Ola Söderström
- Institut de Géographie, Université de Neuchâtel, Espace Louis-Agassiz, 2000, Neuchâtel, Switzerland
| | - Lilith Abrahamyan Empson
- Treatment and Early Intervention in Psychosis Program (TIPP), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Clinique de Cery, Prilly, Switzerland
| | - Jim van Os
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, 16 De Crespigny Park, LondonSE5 8AF, UK
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht, The Netherlands
- Department of Psychiatry and Psychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Anne-Kathrin J Fett
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BTAmsterdam, The Netherlands
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, 16 De Crespigny Park, LondonSE5 8AF, UK
- Department of Psychology, City, University of London, Northampton Square, LondonEC1V 0HB, UK
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Buttazzoni A, Doherty S, Minaker L. How Do Urban Environments Affect Young People's Mental Health? A Novel Conceptual Framework to Bridge Public Health, Planning, and Neurourbanism. Public Health Rep 2021; 137:48-61. [PMID: 33563094 PMCID: PMC8721758 DOI: 10.1177/0033354920982088] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Childhood and adolescence are crucial periods for mental and social development. Currently, mental illness among young people is a global epidemic, and rates of disorders such as depression and anxiety are rising. Urban living, compared with rural living, is linked with a higher risk of serious mental illness, which is important because the world is urbanizing faster than ever before. Urban environments and their landscapes, designs, and features influence mental health and well-being. However, no conceptual frameworks to date have detailed the effect of urban environments on young people's mental health, and few studies have considered the growing role of digital and social media in this relationship, leading to calls for the development of holistic approaches to describe this relationship. This article synthesizes existing knowledge on urban places (both built and natural environments) and mental health in the public health and urban planning literature and examines the emerging field of neurourbanism (a multidisciplinary study of the effect of urban environments on mental health and brain activity) to enhance current practice and research. We developed 2 novel conceptual frameworks (1 research-oriented, 1 practice-oriented), adapted from Bronfenbrenner's socioecological model, that focus on the relationship between urban environments and young people's mental health. We added a digital and social media contextual level to the socioecological model, and we applied a multilayer concept to highlight potential cross-field interactions and collaborations. The proposed frameworks can help to guide future practice and research in this area.
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Affiliation(s)
- Adrian Buttazzoni
- School of Planning, Faculty of Environment, University of Waterloo, Waterloo, Ontario, Canada,Geographies of Health in Place, Planning, and Public Health Lab, Faculty of Environment, University of Waterloo, Waterloo, Ontario, Canada,Adrian Buttazzoni, MSc, University of Waterloo, School of Planning, Faculty of Environment, 200 University Ave W, Environment Building 3, Waterloo, Ontario N2L 3G1, Canada.
| | - Sean Doherty
- Department of Geography and Environmental Studies, Faculty of Arts, Wilfrid Laurier University, Waterloo, Ontario, Canada
| | - Leia Minaker
- School of Planning, Faculty of Environment, University of Waterloo, Waterloo, Ontario, Canada,Geographies of Health in Place, Planning, and Public Health Lab, Faculty of Environment, University of Waterloo, Waterloo, Ontario, Canada,School of Public Health and Health Systems, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
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Xu Q, Guo L, Cheng J, Wang M, Geng Z, Zhu W, Zhang B, Liao W, Qiu S, Zhang H, Xu X, Yu Y, Gao B, Han T, Yao Z, Cui G, Liu F, Qin W, Zhang Q, Li MJ, Liang M, Chen F, Xian J, Li J, Zhang J, Zuo XN, Wang D, Shen W, Miao Y, Yuan F, Lui S, Zhang X, Xu K, Zhang LJ, Ye Z, Yu C. CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research. Mol Psychiatry 2020; 25:517-529. [PMID: 31827248 PMCID: PMC7042768 DOI: 10.1038/s41380-019-0627-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 11/21/2019] [Accepted: 11/27/2019] [Indexed: 02/05/2023]
Abstract
The Chinese Imaging Genetics (CHIMGEN) study establishes the largest Chinese neuroimaging genetics cohort and aims to identify genetic and environmental factors and their interactions that are associated with neuroimaging and behavioral phenotypes. This study prospectively collected genomic, neuroimaging, environmental, and behavioral data from more than 7000 healthy Chinese Han participants aged 18-30 years. As a pioneer of large-sample neuroimaging genetics cohorts of non-Caucasian populations, this cohort can provide new insights into ethnic differences in genetic-neuroimaging associations by being compared with Caucasian cohorts. In addition to micro-environmental measurements, this study also collects hundreds of quantitative macro-environmental measurements from remote sensing and national survey databases based on the locations of each participant from birth to present, which will facilitate discoveries of new environmental factors associated with neuroimaging phenotypes. With lifespan environmental measurements, this study can also provide insights on the macro-environmental exposures that affect the human brain as well as their timing and mechanisms of action.
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Affiliation(s)
- Qiang Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052, Tianjin, China
| | - Lining Guo
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052, Tianjin, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, China
| | - Meiyun Wang
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, 450003, Zhengzhou, China
- Henan Key Laboratory for Medical Imaging of Neurological Diseases, 450003, Zhengzhou, China
| | - Zuojun Geng
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, 050000, Shijiazhuang, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Bing Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, 210008, Nanjing, China
| | - Weihua Liao
- Department of Radiology, Xiangya Hospital, Central South University, 410008, Changsha, China
- National Clinical Research Center for Geriatric Disorder, 410008, Changsha, China
| | - Shijun Qiu
- Department of Medical Imaging, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, 510405, Guangzhou, China
| | - Hui Zhang
- Department of Radiology, The First Hospital of Shanxi Medical University, 030001, Taiyuan, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, 310009, Hangzhou, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China
| | - Bo Gao
- Department of Radiology, Yantai Yuhuangding Hospital, 264000, Yantai, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, 300350, Tianjin, China
- Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, 300350, Tianjin, China
| | - Zhenwei Yao
- Department of Radiology, Huashan Hosptial, Fudan University, 200040, Shanghai, China
| | - Guangbin Cui
- Functional and Molecular Imaging Key Lab of Shaanxi Province & Department of Radiology, Tangdu Hospital, The Military Medical University of PLA Airforce (Fourth Military Medical University), 710038, Xi'an, China
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052, Tianjin, China
| | - Quan Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052, Tianjin, China
| | - Mulin Jun Li
- Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, 300070, Tianjin, China
| | - Meng Liang
- School of Medical Imaging, Tianjin Medical University, 300203, Tianjin, China
| | - Feng Chen
- Department of Radiology, Hainan General Hospital, 570311, Haikou, China
| | - Junfang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, 100730, Beijing, China
| | - Jiance Li
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China
| | - Jing Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, 730050, Lanzhou, China
| | - Xi-Nian Zuo
- Department of Psychology, University of Chinese Academy of Sciences (CAS), 100049, Beijing, China
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, Beijing, China
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, 250012, Jinan, China
| | - Wen Shen
- Department of Radiology, Tianjin First Center Hospital, 300192, Tianjin, China
| | - Yanwei Miao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, 116011, Dalian, China
| | - Fei Yuan
- Department of Radiology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, 300162, Tianjin, China
| | - Su Lui
- Department of Radiology, The Center for Medical Imaging, West China Hospital of Sichuan University, 610041, Chengdu, China
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 325000, Wenzhou, China
| | - Xiaochu Zhang
- CAS Key Laboratory of Brain Function and Disease, University of Science and Technology of China, 230026, Hefei, China
- School of Life Sciences, University of Science & Technology of China, 230026, Hefei, China
| | - Kai Xu
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, 221006, Xuzhou, China
- School of Medical Imaging, Xuzhou Medical University, 221004, Xuzhou, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 210002, Nanjing, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, 300060, Tianjin, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052, Tianjin, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
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11
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Blum K, Gondré-Lewis MC, Modestino EJ, Lott L, Baron D, Siwicki D, McLaughlin T, Howeedy A, Krengel MH, Oscar-Berman M, Thanos PK, Elman I, Hauser M, Fried L, Bowirrat A, Badgaiyan RD. Understanding the Scientific Basis of Post-traumatic Stress Disorder (PTSD): Precision Behavioral Management Overrides Stigmatization. Mol Neurobiol 2019; 56:7836-7850. [PMID: 31124077 DOI: 10.1007/s12035-019-1600-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Accepted: 04/02/2019] [Indexed: 12/20/2022]
Abstract
Post-traumatic stress disorder (PTSD) is a severe polygenic disorder triggered by environmental factors. Many polymorphic genes, particularly the genetic determinants of hypodopaminergia (low dopamine function), associate with a predisposition to PTSD as well as substance use disorder. Support from the National Institutes of Health for neuroimaging research and molecular, genetic applied technologies has improved understanding of brain reward circuitry functions that have inspired the development of new innovative approaches to their early diagnosis and treatment of some PTSD symptomatology and addiction. This review presents psychosocial and genetic evidence that vulnerability or resilience to PTSD can theoretically be impacted by dopamine regulation. From a neuroscience perspective, dopamine is widely accepted as a major neurotransmitter. Questions about how to modulate dopamine clinically in order to treat and prevent PTSD and other types of reward deficiency disorders remain. Identification of genetic variations associated with the relevant genotype-phenotype relationships can be characterized using the Genetic Addiction Risk Score (GARS®) and psychosocial tools. Development of an advanced genetic panel is under study and will be based on a new array of genes linked to PTSD. However, for now, the recommendation is that enlistees for military duty be given the opportunity to voluntarily pre-test for risk of PTSD with GARS, before exposure to environmental triggers or upon return from deployment as part of PTSD management. Dopamine homeostasis may be achieved via customization of neuronutrient supplementation "Precision Behavioral Management" (PBM™) based on GARS test values and other pro-dopamine regulation interventions like exercise, mindfulness, biosensor tracking, and meditation.
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Affiliation(s)
- Kenneth Blum
- Graduate School of Biomedical Sciences, Western University Health Sciences, Pomona, CA, USA. .,Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary. .,Department of Psychiatry, Boonshoft School of Medicine, Wright University, Dayton, OH, USA. .,Department of Precision Behavioral Management, Geneus Health, San Antonio, TX, USA. .,Division of Neurogenetic Research & Addiction Therapy, The Florida House Experience, Deerfield Beach, FL, USA. .,Division of Addiction Services, Dominion Diagnostics, North Kingston, RI, USA. .,Division of Neuroscience & Addiction Research, Pathway Healthcare, LLC., Burmingham, AL, USA.
| | - M C Gondré-Lewis
- Department of Anatomy, Developmental Neuropsychopharmacology Laboratory, Howard University College of Medicine, Washington, DC, USA
| | - E J Modestino
- Department of Psychology, Curry College, Milton, MA, USA
| | - L Lott
- Department of Precision Behavioral Management, Geneus Health, San Antonio, TX, USA
| | - D Baron
- Graduate School of Biomedical Sciences, Western University Health Sciences, Pomona, CA, USA
| | - D Siwicki
- Department of Precision Behavioral Management, Geneus Health, San Antonio, TX, USA.,Division of Addiction Services, Dominion Diagnostics, North Kingston, RI, USA
| | - T McLaughlin
- Center for Psychiatric Medicine, Lawrence, MA, USA
| | - A Howeedy
- Division of Neurogenetic Research & Addiction Therapy, The Florida House Experience, Deerfield Beach, FL, USA
| | - M H Krengel
- Department of Neurology, Boston University School of Medicine and VA Boston Healthcare System, Boston, MA, USA
| | - M Oscar-Berman
- Department of Neurology, Boston University School of Medicine and VA Boston Healthcare System, Boston, MA, USA
| | - P K Thanos
- Behavioral Neuropharmacology & Neuroimaging Laboratory on Addiction, Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY, USA
| | - I Elman
- Department of Psychiatry, Cooper University School of Medicine, Camden, NJ, USA
| | - M Hauser
- Division of Addiction Services, Dominion Diagnostics, North Kingston, RI, USA
| | - L Fried
- Department of Precision Behavioral Management, Geneus Health, San Antonio, TX, USA.,Transformations Treatment Center, Delray Beach, FL, USA
| | - A Bowirrat
- Division of Anatomy, Biochemistry and Genetics Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
| | - R D Badgaiyan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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12
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Fett AKJ, Lemmers-Jansen IL, Krabbendam L. Psychosis and urbanicity: a review of the recent literature from epidemiology to neurourbanism. Curr Opin Psychiatry 2019; 32:232-241. [PMID: 30724751 PMCID: PMC6493678 DOI: 10.1097/yco.0000000000000486] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE OF REVIEW Epidemiological studies associate city living with an elevated psychosis risk. Urban (social/economic) stress and exposure to environmental toxins, pollution or disease agents have been proposed to underlie this association. This review provides an update on the recent evidence (May 2017 - November 2018). RECENT FINDINGS Of 647 screened studies, 17 on: urbanicity-psychosis associations in worldwide high, middle and low-income countries; explanatory mechanisms, including nature exposure, social and economic stressors and genetic risk; urbanicity effects on the brain and coping; and urbanicity and resources, were included. The reviewed evidence revealed complex patterns of urbanicity-psychosis associations with considerable international variation within Europe and between low, middle and high-income countries worldwide. Social and economic stressors (e.g. migration, ethnic density and economic deprivation), nature exposure and access to resources could only explain part of the urbanicity effects. Risk factors differed between countries and between affective and non-affective psychosis. SUMMARY Urbanicity-psychosis associations are heterogeneous and driven by multiple risk and protective factors that seem to act differently in different ethnic groups and countries. Interdisciplinary research combining approaches, for example from experimental neuroscience and epidemiology, are needed to unravel specific urban mechanisms that increase or decrease psychosis risk.
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Affiliation(s)
- Anne-Kathrin J. Fett
- Department of Psychology, City, University of London, London, UK
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Imke L.J. Lemmers-Jansen
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Lydia Krabbendam
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
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