Socioeconomic status and the developing brain – A systematic review of neuroimaging findings in youth

Neuroscience & Biobehavioral Reviews, Journal Year: 2021, Volume and Issue: 130, P. 379 - 407

Published: Aug. 30, 2021

Language: Английский

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Charting brain growth and aging at high spatial precision

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Feb. 1, 2022

Defining reference models for population variation, and the ability to study individual deviations is essential understanding inter-individual variability its relation onset progression of medical conditions. In this work, we assembled a cohort neuroimaging data from 82 sites (N=58,836; ages 2-100) used normative modeling characterize lifespan trajectories cortical thickness subcortical volume. Models are validated against manually quality checked subset (N=24,354) provide an interface transferring new sources. We showcase clinical value by applying transdiagnostic psychiatric sample (N=1985), showing they can be quantify underlying multiple disorders whilst also refining case-control inferences. These will augmented with additional samples imaging modalities as become available. This provides common platform bind results different studies ultimately paves way personalized decision-making.

Language: Английский

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A research agenda for understanding how social inequality is linked to brain structure and function

Nature Human Behaviour, Journal Year: 2024, Volume and Issue: 8(1), P. 20 - 31

Published: Jan. 3, 2024

Language: Английский

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An ecological approach to understanding the developing brain: Examples linking poverty, parenting, neighborhoods, and the brain.

American Psychologist, Journal Year: 2020, Volume and Issue: 75(9), P. 1245 - 1259

Published: Dec. 1, 2020

We describe an ecological approach to understanding the developing brain, with a focus on effects of poverty-related adversity brain function. articulate how combining multilevel models from developmental science and psychopathology human neuroscience can inform our risk resilience. To illustrate this approach, we associations between poverty function, roles parents neighborhoods play in context, potential impact timing. also major challenges needed advances these areas research better understand why may including need for: population greater attention sampling representation, genetically informed causal designs, assessing context caution interpretation effects, Work area has implications for policy prevention, which are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Language: Английский

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The neuroscience of socioeconomic inequality

Current Opinion in Behavioral Sciences, Journal Year: 2020, Volume and Issue: 36, P. 23 - 28

Published: July 13, 2020

Language: Английский

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Beyond family‐level adversities: Exploring the developmental timing of neighborhood disadvantage effects on the brain

Developmental Science, Journal Year: 2020, Volume and Issue: 24(1)

Published: May 16, 2020

Abstract A growing literature suggests that adversity is associated with later altered brain function, particularly within the corticolimbic system supports emotion processing and salience detection (e.g., amygdala, prefrontal cortex [PFC]). Although neighborhood socioeconomic disadvantage has been shown to predict maladaptive behavioral outcomes, for boys, most of research linking function focused on family‐level adversities. Moreover, although animal models studies normative development suggest there may be sensitive periods during which exerts stronger effects development, little prospective evidence exists in humans. Using two low‐income samples boys ( n = 167; 77), Census‐derived early childhood, but not adolescence, was uniquely greater PFC, reactivity ambiguous neutral faces adolescence young adulthood. These associations remained after accounting several adversities low family income, harsh parenting), highlighting independent developmentally specific neural context. Furthermore, both samples, indicators measuring income poverty status neighbors were predictive amygdala suggesting economic resources critical development.

Language: Английский

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Association of Local Variation in Neighborhood Disadvantage in Metropolitan Areas With Youth Neurocognition and Brain Structure

JAMA Pediatrics, Journal Year: 2021, Volume and Issue: 175(8), P. e210426 - e210426

Published: May 3, 2021

Neighborhood disadvantage is an important social determinant of health in childhood and adolescence. Less known about the association neighborhood with youth neurocognition brain structure, particularly whether associations are similar across metropolitan areas attributed to local differences disadvantage.To test associated neurocognitive performance global regional measures structure after adjusting for family socioeconomic status perceptions characteristics, assess these (1) pervasive or limited, (2) vary areas, (3) variation within areas.This cross-sectional study analyzed baseline data from Adolescent Brain Cognitive Development (ABCD) Study, a cohort conducted at 21 sites US. Participants were children aged 9.00 10.99 years enrollment. They their parent caregiver completed visit between October 1, 2016, 31, 2018.Neighborhood factor based on US census tract characteristics.Neurocognition was measured NIH Toolbox Cognition Battery, T1-weighted magnetic resonance imaging used whole-brain structure. Linear mixed-effects models examined outcomes sociodemographic factors.Of 11 875 ABCD Study cohort, 8598 (72.4%) included this analysis. The sample had mean (SD) age 118.8 (7.4) months 4526 boys (52.6%). Every 1-unit increase lower 6 7 subtests, such as Flanker Inhibitory Control Attention (unstandardized Β = -0.5; 95% CI, -0.7 -0.2; false discovery rate (FDR)-corrected P .001) List Sorting Working Memory -0.7; -1.0 -0.3; FDR-corrected < .001), well all composite neurocognition, Total Composite -0.9 .001). Each cortical surface area -692.6 mm2; -1154.9 -230.4 .007) subcortical volume -113.9 mm3; -198.5 -29.4 .03) differences, primarily frontal, parietal, temporal lobes. Associations largely remained safety both consistent explained by each area.This found that, US, smaller young people. findings demonstrate that environmental risk neurodevelopmental population enhancing context promising approach improving development adolescents.

Language: Английский

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Neighborhood disadvantage and longitudinal brain-predicted-age trajectory during adolescence

Developmental Cognitive Neuroscience, Journal Year: 2021, Volume and Issue: 51, P. 101002 - 101002

Published: Aug. 10, 2021

Neighborhood disadvantage has consistently been linked to alterations in brain structure; however, positive environmental (e.g., parenting) and psychological factors temperament) may buffer these effects. We aimed investigate associations between neighborhood deviations from typical neurodevelopmental trajectories during adolescence, examine the moderating role of parenting temperamental effortful control (EC). Using a large dataset (n = 1313), normative model morphology was established, which then used predict age youth longitudinal 166, three time-points at 12, 16, 19). linear mixed models, we investigated whether difference brain-predicted-age chronological (brainAGE) were associated with disadvantage, (positive behavior problem-solving task) EC moderated associations. found that brainAGE early adolescence deceleration (decreasing brainAGE) thereafter. this association such disadvantaged adolescents, low delayed development (negative late adolescence. Findings provide evidence for complex factors, maturation. They suggest have long-term effects on neurodevelopment but high could

Language: Английский

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The Effects of Prenatal Exposure to Neighborhood Crime on Neonatal Functional Connectivity

Biological Psychiatry, Journal Year: 2022, Volume and Issue: 92(2), P. 139 - 148

Published: April 12, 2022

Language: Английский

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Why weight? Analytic approaches for large-scale population neuroscience data

Developmental Cognitive Neuroscience, Journal Year: 2023, Volume and Issue: 59, P. 101196 - 101196

Published: Jan. 6, 2023

Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges interested in these data. The following is a resource for using population-based We provide an overview of describe the differences between traditional model-based analyses survey-oriented design-based analyses. To elucidate key concepts, we leverage data from Adolescent Brain Cognitive Development℠ Study (ABCD Study®), sample 11,878 9–10-year-olds United States. Analyses revealed modest sociodemographic discrepancies target population U.S. both recruited ABCD analytic with usable structural functional imaging In evaluating associations socioeconomic resources (i.e., constructs are tightly linked recruitment biases) metrics brain development, show approaches over-estimated household income under-estimated caregiver education total cortical volume surface area. Comparable were found models predicting neural function during two fMRI task paradigms. conclude recommendations Study® users cohorts broadly.

Language: Английский

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