Literature DB >> 30396768

Imaging Social and Environmental Factors as Modulators of Brain Dysfunction: Time to Focus on Developing Non-Western Societies.

Nicolas A Crossley1, Luz Maria Alliende2, Tomas Ossandon2, Carmen Paz Castañeda3, Alfonso González-Valderrama4, Juan Undurraga5, Mariana Castro6, Salvador Guinjoan6, Ana M Díaz-Zuluaga7, Julián A Pineda-Zapata8, Carlos López-Jaramillo9, Francisco Reyes-Madrigal10, Pablo León-Ortíz10, Camilo de la Fuente-Sandoval10, Leticia Sanguinetti Czepielewski11, Clarissa S Gama11, Andre Zugman12, Ary Gadelha12, Andrea Jackowski12, Rodrigo Bressan12.   

Abstract

Social and environmental factors are known risk factors and modulators of mental health disorders. We here conducted a nonsystematic review of the neuroimaging literature studying the effects of poverty, urbanicity, and community violence, highlighting the opportunities of studying non-Western developing societies such as those in Latin America. Social and environmental factors in these communities are widespread and have a large magnitude, as well as an unequal distribution, providing a good opportunity for their characterization. Studying the effect of poverty in these settings could help to explore the brain effect of economic improvements, disentangle the effect of absolute and relative poverty, and characterize the modulating impact of poverty on the underlying biology of mental health disorders. Exploring urbanicity effects in highly unequal cities could help identify the specific factors that modulate this effect as well as examine a possible dose-response effect by studying megacities. Studying brain changes in those living among violence, which is particularly high in places such as Latin America, could help to characterize the interplay between brain predisposition and exposure to violence. Furthermore, exploring the brain in an adverse environment should shed light on the mechanisms underlying resilience. We finally provide examples of two methodological approaches that could contribute to this field, namely a big cohort study in the developing world and a consortium-based meta-analytic approach, and argue about the potential translational value of this research on the development of effective social policies and successful personalized medicine in disadvantaged societies.
Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Developing world; Neuroimaging; Poverty; Psychiatric disorders; Urbanicity; Violence

Mesh:

Year:  2018        PMID: 30396768     DOI: 10.1016/j.bpsc.2018.09.005

Source DB:  PubMed          Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging        ISSN: 2451-9022


  3 in total

1.  Gender, age and geographical representation over the past 50 years of schizophrenia research.

Authors:  Luz María Alliende; Leticia S Czepielewski; David Aceituno; Carmen Paz Castañeda; Camila Diaz; Barbara Iruretagoyena; Carlos Mena; Cristian Mena; Juan Pablo Ramirez-Mahaluf; Ángeles Tepper; Javiera Vasquez; Lais Fonseca; Viviane Machado; Camilo E Hernández; Cristian Vargas-Upegui; Gladys Gomez-Cruz; Luis F Kobayashi-Romero; Tomas Moncada-Habib; Sara Evans-Lacko; Rodrigo Bressan; Clarissa S Gama; Carlos Lopez-Jaramillo; Camilo de la Fuente-Sandoval; Alfonso Gonzalez-Valderrama; Juan Undurraga; Ary Gadelha; Nicolas A Crossley
Journal:  Psychiatry Res       Date:  2021-11-25       Impact factor: 3.222

2.  Sexually divergent development of depression-related brain networks during healthy human adolescence.

Authors:  Lena Dorfschmidt; Richard A Bethlehem; Jakob Seidlitz; František Váša; Simon R White; Rafael Romero-García; Manfred G Kitzbichler; Athina R Aruldass; Sarah E Morgan; Ian M Goodyer; Peter Fonagy; Peter B Jones; Ray J Dolan; Neil A Harrison; Petra E Vértes; Edward T Bullmore
Journal:  Sci Adv       Date:  2022-05-27       Impact factor: 14.957

Review 3.  Early-life adversity and neurological disease: age-old questions and novel answers.

Authors:  Annabel K Short; Tallie Z Baram
Journal:  Nat Rev Neurol       Date:  2019-09-17       Impact factor: 42.937

  3 in total

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