Literature DB >> 32409600

Patterns of sociocognitive stratification and perinatal risk in the child brain.

Dag Alnæs1, Tobias Kaufmann2, Andre F Marquand3,4,5, Stephen M Smith6, Lars T Westlye2,7,8.   

Abstract

The expanding behavioral repertoire of the developing brain during childhood and adolescence is shaped by complex brain-environment interactions and flavored by unique life experiences. The transition into young adulthood offers opportunities for adaptation and growth but also increased susceptibility to environmental perturbations, such as the characteristics of social relationships, family environment, quality of schools and activities, financial security, urbanization and pollution, drugs, cultural practices, and values, that all act in concert with our genetic architecture and biology. Our multivariate brain-behavior mapping in 7,577 children aged 9 to 11 y across 585 brain imaging phenotypes and 617 cognitive, behavioral, psychosocial, and socioeconomic measures revealed three population modes of brain covariation, which were robust as assessed by cross-validation and permutation testing, taking into account siblings and twins, identified using genetic data. The first mode revealed traces of perinatal complications, including preterm and twin birth, eclampsia and toxemia, shorter period of breastfeeding, and lower cognitive scores, with higher cortical thickness and lower cortical areas and volumes. The second mode reflected a pattern of sociocognitive stratification, linking lower cognitive ability and socioeconomic status to lower cortical thickness, area, and volumes. The third mode captured a pattern related to urbanicity, with particulate matter pollution (PM25) inversely related to home value, walkability, and population density, associated with diffusion properties of white matter tracts. These results underscore the importance of a multidimensional and interdisciplinary understanding, integrating social, psychological, and biological sciences, to map the constituents of healthy development and to identify factors that may precede maladjustment and mental illness.

Entities:  

Keywords:  childhood/adolescence; neurodevelopment; neuroscience; population imaging; psychology

Mesh:

Year:  2020        PMID: 32409600      PMCID: PMC7275714          DOI: 10.1073/pnas.2001517117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  49 in total

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Authors:  Regula Everts; Corina G Schöne; Ines Mürner-Lavanchy; Maja Steinlin
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3.  Association of Heritable Cognitive Ability and Psychopathology With White Matter Properties in Children and Adolescents.

Authors:  Dag Alnæs; Tobias Kaufmann; Nhat Trung Doan; Aldo Córdova-Palomera; Yunpeng Wang; Francesco Bettella; Torgeir Moberget; Ole A Andreassen; Lars T Westlye
Journal:  JAMA Psychiatry       Date:  2018-03-01       Impact factor: 21.596

4.  Association of Child Poverty, Brain Development, and Academic Achievement.

Authors:  Nicole L Hair; Jamie L Hanson; Barbara L Wolfe; Seth D Pollak
Journal:  JAMA Pediatr       Date:  2015-09       Impact factor: 16.193

Review 5.  Neurological function in children born to preeclamptic and hypertensive mothers - A systematic review.

Authors:  Ernesto A Figueiró-Filho; Lauren E Mak; James N Reynolds; Patrick W Stroman; Graeme N Smith; Nils D Forkert; Angelina Paolozza; Matthew T Rätsep; B Anne Croy
Journal:  Pregnancy Hypertens       Date:  2017-07-25       Impact factor: 2.899

6.  Preterm Cognitive Function Into Adulthood.

Authors:  Linda D Breeman; Julia Jaekel; Nicole Baumann; Peter Bartmann; Dieter Wolke
Journal:  Pediatrics       Date:  2015-08-10       Impact factor: 7.124

Review 7.  Why do many psychiatric disorders emerge during adolescence?

Authors:  Tomás Paus; Matcheri Keshavan; Jay N Giedd
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8.  Age-Related Differences in Cortical Thickness Vary by Socioeconomic Status.

Authors:  Luciane R Piccolo; Emily C Merz; Xiaofu He; Elizabeth R Sowell; Kimberly G Noble
Journal:  PLoS One       Date:  2016-09-19       Impact factor: 3.240

9.  Burden of Cause-Specific Mortality Associated With PM2.5 Air Pollution in the United States.

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Review 10.  Genetics and intelligence differences: five special findings.

Authors:  R Plomin; I J Deary
Journal:  Mol Psychiatry       Date:  2014-09-16       Impact factor: 15.992

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Review 2.  Linking interindividual variability in brain structure to behaviour.

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3.  Multivariate Patterns of Brain-Behavior-Environment Associations in the Adolescent Brain and Cognitive Development Study.

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4.  Population-based body-brain mapping links brain morphology with anthropometrics and body composition.

Authors:  Tiril P Gurholt; Tobias Kaufmann; Oleksandr Frei; Dag Alnæs; Unn K Haukvik; Dennis van der Meer; Torgeir Moberget; Kevin S O'Connell; Olof D Leinhard; Jennifer Linge; Rozalyn Simon; Olav B Smeland; Ida E Sønderby; Adriano Winterton; Nils Eiel Steen; Lars T Westlye; Ole A Andreassen
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Review 5.  Environmental influences on the pace of brain development.

Authors:  Ursula A Tooley; Danielle S Bassett; Allyson P Mackey
Journal:  Nat Rev Neurosci       Date:  2021-04-28       Impact factor: 38.755

6.  Multivariate patterns of brain-behavior associations across the adult lifespan.

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7.  A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets.

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Review 9.  Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology.

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10.  Neural signatures of data-driven psychopathology dimensions at the transition to adolescence.

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