The Neuroscience of Socioeconomic Status: Correlates, Causes, and Consequences

Psychological resilience and childhood maltreatment: The role of self-efficacy, personality functioning and social support in young adult residential care leavers

BACKGROUND

Although the psychopathological consequences of childhood maltreatment (CM) are widely acknowledged, less is known about the underlying pathways of resilience following CM. Recent work to harmonize operationalization and definition of resilience quantifies resilience as the residual variance in psychosocial functioning after accounting for adversity exposure.

OBJECTIVE

This study investigates the association of self-efficacy, personality functioning, and social support with residual resilience after CM in young adults with previous youth residential care placements in Switzerland.

METHODS

The psychological resilience of 189 young adults (M age = 26.18 years; SD = 3.01; 35 % women) was evaluated as the residual of the regression of childhood maltreatment on mental health problems. Multiple regression models were conducted to assess the association between residual resilience and self-efficacy, personality function, and social support. A multiple regression model with an individual composite score of self-efficacy and personality functioning was used to investigate the importance of individual and social factors in resilience.

RESULTS

The severity of CM was significantly associated with self-reported mental health problems, β = 0.37; p < .001. Residual resilience was significantly associated with self-efficacy, β = 0.33; p < .001, and impaired personality functioning (self-direction, β = -0.63, p < .001, empathy, β = -0.39, p < .001, intimacy, β = -0.37, p < .001, identity, β = -0.51, p < .001). However, it was not significantly associated with social support, β = 0.10; p = .14 in regression models testing individual predictors. In combined models, the individual composite score was more strongly associated with residual resilience than the social support.

CONCLUSION

Personality functioning and self-efficacy are crucial for psychological resilience following childhood maltreatment. They represent important targets for preventive interventions in youth residential care and therapy programs for those who experienced maltreatment in childhood.

A systematic review of epidemiological studies of life course socioeconomic status and adult structural brain changes

INTRODUCTION

Disadvantaged socioeconomic status (SES) are linked with adverse cognitive outcomes in ageing and heightened dementia risk. Few studies have examined relationships between life course SES and adult structural brain changes that may be associated with cognitive decline.

AIMS

This systematic review assesses evidence from neuroimaging based epidemiological studies that have explored relationships between life course SES and adult structural brain changes.

METHODS

Embase, PsycINFO and Medline from inception to November 2020 were systematically searched according to strict search criteria which captured studies examining relationships between life course SES and adult structural neuroimaging changes. Bibliographies and citations of relevant papers were selected. Searches were limited to English language publications.

RESULTS

Amongst 8134 search results, 91 unique titles were screened and 24 studies selected. All 24 studies demonstrated at least partial relationships between disadvantaged life SES and adverse structural brain changes. Selected studies utilised diverse structural imaging techniques, neuroanatomical sites and operational definitions of life course SES. The methodological approaches and statistical analysis varied significantly between studies. We specifically discuss the neurobiological interpretation of Diffusion weighted MRI based studies and MRI volumetric studies investigating associations between life course SES and adult brain structural changes and the wider global health implications of these studies.

CONCLUSION

Disadvantaged life course SES may have associations with structural brain changes which underlie adverse ageing outcomes. Given heterogeneity of study designs and operationalisation of SES, the cross-sectional design of studies and wide-ranging neuroimaging modalities any association should be considered with caution. Mediatory mechanisms including malnutrition, stress, markers of inflammation, hormonal changes and cognitive reserve and health behaviour are presented in selected studies. Targeting life course SES in public health-based interventions may offer approaches to maintain healthy brain structure and function in ageing.

Associations between sleep habits and different impulsivity facets in adolescence

BACKGROUND

Sleep patterns change during adolescence due to physiological maturation and psychosocial factors, leading to progressively higher eveningness, sleep deprivation and social jetlag (SJL). These sleep changes are associated with impulsivity, a common behavioral trait in adolescence which can make those with developmental disabilities more vulnerable to behavioral, cognitive and clinical difficulties. However, it is unclear which aspects of sleep and what types of impulsivity are involved.

AIMS

To investigate the relationships between sleep/circadian variables and self-reported impulsivity.

METHODS AND PROCEDURES

Three sleep/circadian variables (time in bed on weekdays, eveningness and SJL) and five dissociable facets of self-reported impulsivity (UPPS-P scale) were answered by 389 healthy 9-17-year-olds (225 girls).

OUTCOMES AND RESULTS

A significant (but small) association between eveningness and a multivariate composed of the five facets of impulsivity (5 % of variance explained) was found and negative urgency was the main driver (4 %) of this relationship.

CONCLUSION AND IMPLICATIONS

Typically developing adolescents with high eveningness traits display slight difficulty controlling their behavior when in a state of negative affect. This finding deserves an in-depth investigation in youth with neurodevelopmental disabilities, who are more prone to presenting sleep/circadian changes, externalizing problems like impulsiveness and internalizing one such as mood alterations.

Psychosocial factors account for a proportion of the difference in cognitive performance between persons with and without HIV

OBJECTIVE

To investigate whether psychosocial factors account for a proportion of the difference in cognitive performance between persons with and without HIV.

DESIGN

Cross-sectional study of 273 participants (178 persons with HIV) from a low income area of Cape Town, South Africa.

METHODS

Participants completed comprehensive cognitive testing (7 domains) and 12 psychosocial measures (5 current: income, occupation, assets, accommodation, depressive symptoms, 7 from childhood: assets, quality of education, exposure to childhood trauma and violence, primary caregiver occupation and highest level of education), as well as demographic measures standard in cognition studies (age, sex, years of education). We investigated the HIV association with global cognitive performance after adjustment for standard demographic variables, exploratory psychosocial variables, and balancing characteristics of those with and without HIV using propensity score modelling.

RESULTS

Persons with HIV had significantly lower scores than persons without HIV in 8/12 psychosocial variables. Of these, 7/12 significantly predicted global T-score. In unadjusted regression, HIV status was associated with a reduction in global T-score of 3.72 units. Adjustment for standard variables, reduced the effect of HIV on global T score by 26.9% to 2.72, additional adjustment for psychosocial variables reduced by 40.3% to 2.22, and adjustment for propensity scores by 42.7% to 2.13.

CONCLUSIONS

Persons with HIV in this setting have lower psychosocial indices, both current and in childhood, which are associated with lower cognitive test performance as an adult. This is incompletely mitigated by adjustments for standard demographic variables which risks overestimation of cognitive impairment on a population level.

Living with technological challenges: does socioeconomic status affect people's health?

BACKGROUND

Technological challenges in accessing medical care services may cause individuals to feel isolated from the medical care system. This study posits that individual's subjective socioeconomic status (SES) contribute to differing levels of technological challenges when seeking medical care services, subsequently impacting their health conditions.

METHODS

A questionnaire survey was administered to 1,932 residents in China (1,037 men, 891 women, and 4 missing; Mage: 64.28 ± 11.30 years, range: 45-99 years). Participants included 792 urban (40.99%) and 1,140 rural (59.01%) residents. We measured SES, technological challenges perceptions, health conditions, and other control variables.

RESULTS

Analysis of 10,000 bootstrapped samples revealed that technological challenges partially mediate the association between SES and health conditions. Moreover, rural people with low SES had poorer health because of technological challenges. This effect was not significant for urban people after controlling for sex, age, education level, marital status, and experience accessing medical care services.

CONCLUSIONS

SES significantly and negatively impacted individuals' health conditions, especially for rural residents, owing to their technological challenges. This study provides evidence and insights into the nexus of policy formulation, modern technology, and public perceptions regarding shortcomings and risks in public health policies.

Distinct effects of early-stage and late-stage socioeconomic factors on brain and behavioral traits

Socioeconomic status (SES) is a time-varying multidimensional construct with ill-defined dimension-specific and age-specific effects on brain and behavior. We investigated these effects in 4,228 young adults. From 16 socioeconomic indicators, assessed for early (0-10 years) and late (>10 years) stages, we constructed family, provincial, family adverse and neighborhood adverse socioeconomic dimensions. Generally, family SES was associated with brain structure and connectivity along with cognitive function, whereas family adverse and neighborhood adverse SES were associated with personality and emotion. Most associations were observed for both early and late-stage SES; however, adjusting for the effect of early stage SES revealed late-stage-specific SES effects. Changes in SES were associated with personality and cognitive function. Cerebellar and medial frontal volumes and functional connectivity within the left frontoparietal network mediated the associations between family SES and memory and openness. These results inform both more precise interventions for reducing the consequences of adverse SES and experimental designs for excluding confounding socioeconomic effects on human health.

The impact of socio-environmental factors on brain structure over the early life course of preterm-born individuals - A systematic review

BACKGROUND

Approximately 11 % of births worldwide are preterm (<37 weeks). While research traditionally focuses on complications of prematurity and brain development, the role of socio-environmental factors has received less attention. Recent studies indicate these factors significantly influence neurocognitive outcomes and brain development, beyond prematurity alone. This review examines the impact of socio-environmental factors on brain structure and function in preterm-born individuals from birth to early adulthood.

METHOD

We conducted searches in PubMed, Embase, and Web of Science for studies up to August 28th, 2024, examining socio-environmental effects on brain structure or function in preterm-born individuals using magnetic resonance imaging. From 891 articles screened, 23 met the inclusion criteria.

RESULTS

Socio-environmental factors, including socioeconomic status, prenatal conditions, hospital environment, and early life experiences, notably affect brain structures in preterm-born individuals. Key impacts were found in limbic and associative cortices (e.g., cingulate gyrus, parieto-temporal cortices), white matter tracts involved in executive functioning (e.g., superior longitudinal fasciculus, cingulum), and overall brain volume. Most studies focused on infancy, with 18 of 23 presenting data from the first year of life.

CONCLUSION

Socio-environmental factors are associated with changes in grey and white matter in the brain, especially in the limbic system and associative areas. These findings underscore the influence of early environments on preterm-born brain development, but long-term impacts remain unclear due to limited data beyond infancy.

How Do Components of Executive Function Relate to Taiwanese Sixth Graders' Mathematical Skills?

Executive functions are crucially important for helping to explain children's mathematical performances. We investigated the relationships between components of executive functions and different aspects of mathematical ability in young school-aged Taiwanese children. In a cross-sectional design, a typically developing group of 122 sixth-grade students completed tests battery of working memory (WM), inhibition, and set-shifting tests, and a measure of achievement competence in mathematical concepts, computation, and applied problems. We found significant associations between general intellectual ability, working memory, inhibition, and set-shifting, and between these abilities and different mathematical skills. Verbal and spatial WM was positively correlated with different mathematical skills, and inhibition and set-shifting were positively correlated with mathematical performance to a lesser extent. We conducted partial correlation analyses to control for participants' age, socioeconomic status, and processing speed, and we then found that verbal and spatial WM was related to the math domains of concepts, computation, and applied problems. Meanwhile, inhibition was correlated with the domain of applied problems. Regression analyses revealed that varied domains of mathematical skills were best predicted by a general intelligence index (GAI) and verbal working memory (WM). Inhibition predicted better performance in applied problems. We discuss the limitations and implications of these findings, as they provide important information about the specific associations between aspects of executive function and components of mathematics performance in middle childhood.

The Brain That Understands Diversity: A Pilot Study Focusing on the Triple Network

Background/Objectives: Interest in diversity is growing worldwide. Today, an understanding and social acceptance of diverse people is becoming increasingly important. Therefore, in this study, we aimed to clarify the relationship between an individual's gray matter volume (GMV), which is thought to reflect brain health, and their understanding of diversity (gender, sexuality (LGBTQ), and origin). Methods: GMV was determined as the value of the Gray Matter Brain Healthcare Quotient (GM-BHQ) based on MRI image analysis. Meanwhile, participants' understanding and acceptance of diversity was calculated based on their answers to the psychological questions included in the World Values Survey Wave 7 (WVS7). Results: Our analysis indicated that, in the group of participants with the highest understanding of diversity (PHUD. n = 11), not only the GMV at the whole brain level (t = 2.587, p = 0.027, Cohen's d = 0.780) but also the GMV of the central executive network (CEN: t = 2.700, p= 0.022, Cohen's d = 0.814) and saliency network (SN: t = 3.100, p = 0.011, Cohen's d = 0.935) were shown to be significantly higher than the theoretical value estimated from sex, age, and BMI at the 5% level. In addition, the GMV of the default mode network (DMN: t = 2.063, p = 0.066, Cohen's d = 0.622) was also higher than the theoretical value at the 10% level. Meanwhile, in the group of others (n = 10), there was no significant difference from the theoretical value. These differences between PHUD and others were also observed when comparing the two with and without controlling for educational and occupational covariates at the 5% or 10% levels. Conclusions: These results suggest that understanding diversity requires a healthy brain, centered on three networks that govern rational judgment, emotion regulation, other-awareness, self-awareness, and the valuing of actions. This is the first study to show that brain structure is related to an understanding and acceptance of the diversity of people.

Bilingual Vocabulary Development in Mexican Indigenous Infants: The Effects of Language Exposure from Home and Mothers' Language Dominance

This study evaluates how language exposure and mothers' language dominance relate to infants' early bilingual vocabulary development in a low-socioeconomic status (SES) sample from an understudied population: Mexican Indigenous bilinguals. Thirty-two mother-child dyads participated. All mothers were bilingual speakers of Spanish and one of Mexican Indigenous languages, including Zapotec, Mixtec, and Otomi. Infants' (between 16 and 37 months) vocabulary size was estimated in both languages using the Mexican Spanish version of the MacArthur-Bates CDI II. Infants' language exposure, mothers' bilingual profile, and their SES were estimated on numerical scales. The results of Spearman correlations showed infants' vocabulary size in Spanish grows with age, while their vocabulary in the Indigenous language depends on relative language exposure. Mothers' language dominance correlated with Indigenous language exposure and infants' vocabulary size in the Indigenous language. These findings are discussed in the context of early bilingual vocabulary acquisition in speakers of minority languages.

Regional hippocampal thinning and gyrification abnormalities and associated cognition in children with prenatal alcohol exposure

BACKGROUND

Prenatal alcohol exposure (PAE) impacts hippocampal structure and function, contributing to deficits in memory and decision-making in affected individuals. Here, we evaluate hippocampal anomalies in children with PAE and an unexposed comparison group using advanced MRI methods that characterize hippocampal curvature and thickness.

METHODS

Participants, ages 8 to 16 years, included children with PAE (n = 48) and an unexposed comparison group (n = 46) who underwent a dysmorphology exam, neuropsychological assessment, and an MRI scan. Height, weight, head circumference, and dysmorphic facial features were evaluated. Of those with PAE, 4.2% had fetal alcohol syndrome (FAS), 22.9% had partial FAS, and 72.9% had alcohol-related neurodevelopmental disorder. Neuropsychological testing included measures of intelligence and memory functioning. T1-weighted anatomical data were processed with the Hippunfold pipeline, which "unfolds" the complex hippocampal structure onto a template surface and provides measures of thickness and gyrification/curvature at each vertex. Permutation Analysis of Linear Models (PALM) was used to test for group differences (PAE vs. comparison) in hippocampal thickness and gyrification at each vertex and also to assess correlations with cognitive functioning.

RESULTS

There were significant regional differences in thickness and gyrification across bilateral hippocampi, with the PAE group showing substantially thinner tissue and less curvature than the comparison group, especially in CA1 and subiculum regions. For those with PAE, thinner subicular tissue (bilateral) was associated with lower IQ. Also in the PAE group, lower episodic memory performance was associated with thinness in the right hippocampus, especially in the subiculum region. There were no significant regional hippocampal patterns that were associated with cognitive functioning for individuals in the unexposed comparison group.

CONCLUSIONS

We used a novel MRI method to evaluate hippocampal structure in children with PAE and an unexposed comparison group. The data suggest that PAE disrupts hippocampal development, impacting both the early-stage folding of the structure and its ultimate thickness. The data also demonstrate that these developmental anomalies have functional consequences in terms of core memory functions as well as global intellectual functioning in children with PAE.

Lifetime Socioeconomic Status, Cognitive Decline, and Brain Characteristics

IMPORTANCE

Socioeconomic status (SES) has an important association with cognitive function and structural brain indices. Identifying the nature of this association will guide strategies for improving health equity.

OBJECTIVE

To test the longitudinal associations of SES with cognitive decline and brain characteristics and to examine whether these associations differ between Black and White individuals.

DESIGN, SETTING, AND PARTICIPANTS

Participants aged 65 years old or older were recruited for this population-based cohort study from 4 communities on the south side of Chicago, Illinois. At-home interviews were conducted between 1993 and 2012. The data were analyzed in April 2024.

MAIN OUTCOMES AND MEASURES

Outcome measures were level and change in global cognition and 4 individual tests. Three magnetic resonance imaging (MRI) measures of the brain included total brain volume, hippocampal volumes, and white matter hyperintensities (WMH). Childhood SES was assessed using parental education levels, father's occupation, and childhood finance rating. Adulthood SES was assessed using the participants' education, occupation, and income. Lifetime SES was assessed on the basis of the mother's education, childhood SES, and participants' occupation and income.

RESULTS

Of the 7303 participants (mean [SD] age, 72.3 [6.3] years; 4573 female participants [63%]), 4581 (63%) were non-Hispanic Black, and 2722 (37%) were non-Hispanic White. SES was higher for White individuals compared with Black individuals in childhood, adulthood, and across the lifespan. Higher lifetime SES was associated with better global cognitive functioning at baseline (estimate, 0.337; 95% CI, 0.317 to 0.357; P < .001) but not with decline over time (estimate, 0.003; 95% CI, -0.001 to 0.006; P = .10). Higher lifetime SES was associated with a better baseline score on the Mini-Mental State Examination (estimate, 0.281; 95% CI, 0.261 to 0.302; P < .001) and a slower decline for all participants (estimate, 0.012; 95% CI, 0.008 to 0.016; P < .001). In a subset of 933 participants who underwent MRI, there was an association between lifetime SES and healthier brain structures, as measured by total brain volume (estimate, 3.18; 95% CI, 0.20 to 6.17; P = .04) and WMH burden (estimate, -0.11; 95% CI, -0.21 to -0.01; P = .03).

CONCLUSIONS AND RELEVANCE

In this cohort study, SES, mainly in adulthood, was associated with a person's cognitive status and brain structure, resulting in a discrepancy in cognitive status over time. These findings point to a need for interventions that improve SES throughout the lifespan, particularly for Black individuals, who had lower SES than White individuals.

Influence of social determinants of health and adversity on computerized neurocognitive assessment

Introduction: Social determinants of health and adversity, including poverty, maltreatment, and neighborhood deprivation, are individual-level factors that may significantly affect baseline neurocognitive testing and management that have yet to be thoroughly explored within the computerized neurocognitive assessment.Objectives: Examine individual-level experiences of poverty, abuse, neighborhood deprivation, and social mobility on computerized cognitive testing.Methods: The sample included 3,845 student-athletes who completed a baseline Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) and were enrolled in the Child-Household Integrated Longitudinal Data database. Multivariable linear regressions were used to assess independent variables of Supplemental Nutrition Assistance Program enrollment, abuse or neglect cases, Area Deprivation Index scores, and other demographic factors on four baseline ImPACT composite scores: verbal and visual memory, visuomotor, and reaction time.Results: Individual-level factors of persistent poverty and neighborhood deprivation were associated with lower composite scores; however, upward social mobility was not significantly associated with cognitive performance. The effects of mother's race on computerized cognitive testing performance were attenuated when accounting for measures of adversity.Conclusion: Findings highlight the importance of social determinants of health in computerized neurocognitive testing to ensure more culturally sensitive and precise understanding of athletic baselines.

Toward a functional future for the cognitive neuroscience of human aging

The cognitive neuroscience of human aging seeks to identify neural mechanisms behind the commonalities and individual differences in age-related behavioral changes. This goal has been pursued predominantly through structural or "task-free" resting-state functional neuroimaging. The former has elucidated the material foundations of behavioral decline, and the latter has provided key insight into how functional brain networks change with age. Crucially, however, neither is able to capture brain activity representing specific cognitive processes as they occur. In contrast, task-based functional imaging allows a direct probe into how aging affects real-time brain-behavior associations in any cognitive domain, from perception to higher-order cognition. Here, we outline why task-based functional neuroimaging must move center stage to better understand the neural bases of cognitive aging. In turn, we sketch a multi-modal, behavior-first research framework that is built upon cognitive experimentation and emphasizes the importance of theory and longitudinal design.

The near and far transfer effects of computerized working memory training in typically developing preschool children: Evidence from event-related potentials

Working memory (WM) refers to the ability to actively maintain and process information needed to complete complex tasks such as comprehension, learning, and reasoning. Recent studies have examined the efficacy of computerized working memory training (WMT) in improving cognitive functions in general and WM in particular, with mixed results. Thus, to what extent can WMT produce near and far transfer effects to cognitive function is currently unclear. This study investigated the transfer effects of a computerized WMT for preschool children and also examined the possible neural correlates using the event-related potential (ERP) technique. A total of 50 Chinese preschoolers (64.44 ± 7.76 months old; 24 girls) received 4-week training during school hours. Compared with those in the active control group, children in the training group showed better gains in behavioral performance in the WM task and significantly more changes in ERP markers of the WM and inhibitory control tasks (near transfer effect). However, no evidence was found for transfer to fluid intelligence (far transfer effect). These findings suggest that WMT is capable of enhancing cognitive functioning in preschool children, and as such this work has important implications for educational practice and it may help to design and refine cognitive interventions for typically developing children and those with WM problems or other cognitive deficits (e.g., children with attention-deficit/hyperactivity disorder).

Perceived neighborhood disorder as a moderator of the relationship between marijuana use and disinhibition in a sample of emerging adult African American females

Disinhibition is associated with myriad risk-taking behaviors and adverse outcomes. Both marijuana use and poor neighborhood conditions have been associated with disinhibition. However, the extent to which neighborhood disorder interacts with marijuana use to influence disinhibition has not been studied, extensively. A better understanding of these relationships has implications for designing more effective tailored place-based interventions that aim to reduce risk taking behaviors and related adverse social and health outcomes associated with marijuana use. Thus, the purpose of this study was to examine the interactive effects of perceived neighborhood disorder and marijuana use on disinhibition. The sample included 120 African American female residents of disadvantaged neighborhoods (Mage = 23.6 ± 3.46). We employed hierarchical linear regression analysis to examine the interactive effects of marijuana use and perceived neighborhood disorder on disinhibition, while controlling for age and education. The interaction term was marginally significant (b = 5.66; t(109) = 1.72, p = .08). Next, the conditional effects were explored. Results indicated the association of marijuana use with disinhibition was stronger for females in the higher neighborhood disorder group, compared to those in the lower neighborhood disorder group (10.40 and 4.51, respectively). Our findings support the need for more research on the potential of neighborhood disorder to amplify the effects of marijuana use on disinhibition and related neurobehavioral traits. The identification of contextual moderators and high-risk sub-groups will aid in the design of more tailored place-based interventions that aim to reduce risk-taking behavior among those most vulnerable.

Associations between Parenting and Cognitive and Language Abilities at 2 Years of Age Depend on Prenatal Exposure to Disadvantage

OBJECTIVE

To investigate whether parenting or neonatal brain volumes mediate associations between prenatal social disadvantage (PSD) and cognitive/language abilities and whether these mechanisms vary by level of disadvantage.

STUDY DESIGN

Pregnant women were recruited prospectively from obstetric clinics in St Louis, Missouri. PSD encompassed access to social (eg, education) and material (eg, income to needs, health insurance, area deprivation, and nutrition) resources during pregnancy. Neonates underwent brain magnetic resonance imaging. Mother-child dyads (n = 202) returned at age 1 year for parenting observations and at age 2 years for cognition/language assessments (Bayley Scales of Infant and Toddler Development, Third Edition). Generalized additive and mediation models tested hypotheses.

RESULTS

Greater PSD associated nonlinearly with poorer cognitive/language scores. Associations between parenting and cognition/language were moderated by disadvantage, such that supportive and nonsupportive parenting behaviors related only to cognition/language in children with lesser PSD. Parenting mediation effects differed by level of disadvantage: both supportive and nonsupportive parenting mediated PSD-cognition/language associations in children with lesser disadvantage, but not in children with greater disadvantage. PSD-associated reductions in neonatal subcortical grey matter (β = 0.19; q = 0.03), white matter (β = 0.23; q = 0.02), and total brain volume (β = 0.18; q = 0.03) were associated with lower cognition, but did not mediate the associations between PSD and cognition.

CONCLUSIONS

Parenting moderates and mediates associations between PSD and early cognition and language, but only in families with less social disadvantage. These findings, although correlational, suggest that there may be a critical threshold of disadvantage, below which mediating or moderating factors become less effective, highlighting the importance of reducing disadvantage as primary prevention.

The Cognitive Footprint of Medication Use

INTRODUCTION

The cognitive side-effects of medication are common, but often overlooked in practice, and not routinely considered in interventional trials or post-market surveillance. The cognitive footprint of a medication seeks to quantify the impact of its cognitive effects based on magnitude, duration, and interaction with other factors, evaluated across the exposed population.

METHODS

Bayesian multivariable regression analysis of retrospective population-based cross-sectional cohorts.

RESULTS

We replicate positive and negative cognitive effects of commonly used medications in UK Biobank, and extend observed associations to two additional cohorts, the EPIC Norfolk, and the Caerphilly Prospective Cohort. We quantify the resultant cumulative impact at the population level given known patterns of prescribing and compare it with exemplar common diseases.

CONCLUSION

The cognitive side-effects of commonly used drugs may have significant impact at the population level. Consideration should be given to a routine structured assessment of cognition in interventional trials and post-market surveillance.

Socioeconomic Status and Childhood Executive Function: Differing Conceptualizations, Diverse Assessments, and Decontextualized Investigations

Developing the ability to regulate actions, thoughts, and emotions is necessary for successfully engaging in goal-directed activities, which form the essence of success in many life situations. In this regard, executive function (EF), as an aspect of these top-down control processes, has been the subject of inquiry in many developmental studies aiming to identify its link with various other aspects of a child's life, including family socioeconomic status (SES). This article presents a critical look at the association between family SES and childhood EF by reviewing studies that provide contrasting perspectives compared to the generally reported positive correlation between these two constructs. We first address the various aspects of assessing SES and childhood EF, emphasizing their multifaceted nature. Next, we discuss the interplays between different components of these two constructs, especially as it unfolds in various cultural contexts. Finally, we conclude by discussing mainly neglected lines of research that could further improve our understanding of the extent of socioeconomic impacts on child development, specifically regarding executive function. Considering these lines of research is a necessary step to a more accurate analysis of the link between socioeconomic factors and childhood executive function.

Brain structures with stronger genetic associations are not less associated with family- and state-level economic contexts

We investigate whether neural, cognitive, and psychopathology phenotypes that are more strongly related to genetic differences are less strongly associated with family- and state-level economic contexts (N = 5374 individuals with 1KG-EUR-like genotypes with 870 twins, from the Adolescent Behavior and Cognitive Development study). We estimated the twin- and SNP-based heritability of each phenotype, as well as its association with an educational attainment polygenic index (EA PGI). We further examined associations with family socioeconomic status (SES) and tested whether SES-related differences were moderated by state cost of living and social safety net programs (Medicaid expansion and cash assistance). SES was broadly associated with cognition, psychopathology, brain volumes, and cortical surface areas, even after controlling for the EA PGI. Brain phenotypes that were more heritable or more strongly associated with the EA PGI were not, overall, less related to SES, nor were SES-related differences in these phenotypes less moderated by macroeconomic context and policy. Informing a long-running theoretical debate, and contra to widespread lay beliefs, results suggest that aspects of child brain development that are more strongly related to genetic differences are not, in general, less associated with socioeconomic contexts and policies.

Psychopathology as long-term sequelae of maltreatment and socioeconomic disadvantage: Neurocognitive development perspectives

Neuroscience research underscores the critical impact of adverse experiences on brain development. Yet, there is limited understanding of the specific pathways linking adverse experiences to accelerated or delayed brain development and their ultimate contributions to psychopathology. Here, we present new longitudinal data demonstrating that neurocognitive functioning during adolescence, as affected by adverse experiences, predicts psychopathology during young adulthood. The sample included 167 participants (52% male) assessed in adolescence and young adulthood. Adverse experiences were measured by early maltreatment experiences and low family socioeconomic status. Cognitive control was assessed by neural activation and behavioral performance during the Multi-Source Interference Task. Psychopathology was measured by self-reported internalizing and externalizing symptomatology. Results indicated that higher maltreatment predicted heightened frontoparietal activation during cognitive control, indicating delayed neurodevelopment, which, in turn predicted higher internalizing and externalizing symptomatology. Furthermore, higher maltreatment predicted a steeper decline in frontoparietal activation across adolescence, indicating neural plasticity in cognitive control-related brain development, which was associated with lower internalizing symptomatology. Our results elucidate the crucial role of neurocognitive development in the processes linking adverse experiences and psychopathology. Implications of the findings and directions for future research on the effects of adverse experiences on brain development are discussed.

The neural basis underlying the association between parents' socioeconomic status and depressive symptoms among college students

Objective

Depression is increasingly prevalent among adolescents, with parents' socioeconomic status (SES) serving as significant predictors. Understanding the link between parents' SES and college students' depressive symptoms is of paramount concern. However, the neural basis linking the association between parents' SES and students' depressive symptoms still remains to be explored. In order to address this issue, this study aims to investigate the relationship between parents' SES and students' depressive symptoms, and the role of brain functional connectivity (FC) pattern in this relationship.

Methods

In this study, a total of 363 college students without a history of mental or neurological disorders underwent depressive symptoms assessment and resting-state functional magnetic resonance imaging scans. We used a connectome-based predictive modeling (CPM) approach to identify neural biomarkers of depressive symptoms.

Results

The results indicate that there is a negative correlation between parents' SES and students' depression tendencies (Father's education level and SDS: r  = -0.119, p < 0.05; Mother's education level and SDS: r  = -0.117, p < 0.05), suggesting that students whose parents have a higher educational level are less likely to suffer from depression. Furthermore, a FC pattern that can significantly predict depressive symptoms outside of the body was identified (r  = 0.13, p < 0.005), with most of the FCs belonging to the default mode network (DMN) and ventral attention network (VAN). Additionally, the FC pattern associated with depressive symptoms mediate the relationship between parents' SES and depressive symptoms.

Conclusion

Therefore, we believe that improving the education levels of parents may have a practical effect in reducing depressive symptoms among adolescents.

Hierarchical individual variation and socioeconomic impact on personalized functional network topography in children

BACKGROUND

The spatial layout of large-scale functional brain networks exhibits considerable inter-individual variability, especially in the association cortex. Research has demonstrated a link between early socioeconomic status (SES) and variations in both brain structure and function, which are further associated with cognitive and mental health outcomes. However, the extent to which SES is associated with individual differences in personalized functional network topography during childhood remains largely unexplored.

METHODS

We used a machine learning approach-spatially regularized non-negative matrix factorization (NMF)-to delineate 17 personalized functional networks in children aged 9-10 years, utilizing high-quality functional MRI data from 6001 participants in the Adolescent Brain Cognitive Development study. Partial least square regression approach with repeated random twofold cross-validation was used to evaluate the association between the multivariate pattern of functional network topography and three SES factors, including family income-to-needs ratio, parental education, and neighborhood disadvantage.

RESULTS

We found that individual variations in personalized functional network topography aligned with the hierarchical sensorimotor-association axis across the cortex. Furthermore, we observed that functional network topography significantly predicted the three SES factors from unseen individuals. The associations between functional topography and SES factors were also hierarchically organized along the sensorimotor-association cortical axis, exhibiting stronger positive associations in the higher-order association cortex. Additionally, we have made the personalized functional networks publicly accessible.

CONCLUSIONS

These results offer insights into how SES influences neurodevelopment through personalized functional neuroanatomy in childhood, highlighting the cortex-wide, hierarchically organized plasticity of the functional networks in response to diverse SES backgrounds.

Family Socioeconomic Status and Neurodevelopment Among Patients With Dextro-Transposition of the Great Arteries

Importance

Data are limited on the longitudinal implications of socioeconomic status (SES) for neurodevelopmental outcomes among persons with complex congenital heart disease (CHD).

Objectives

To examine the association of family SES, maternal educational level, and maternal IQ with the neurodevelopment of individuals with dextro-transposition of the great arteries (d-TGA) from age 1 to 16 years and to identify how SES-related disparities change with age.

Design, Setting, and Participants

This cohort study analyzed data of participants enrolled in the Boston Circulatory Arrest Study, a randomized clinical trial conducted in Boston, Massachusetts, from 1988 to 1992. Participants were infants with d-TGA who underwent arterial switch operation and, after operation, underwent in-person neurodevelopmental status evaluations at ages 1, 4, 8, and 16 years. Analyses were conducted from April 2021 to August 2024.

Exposures

Mean Hollingshead scores at birth, age 1 year, and age 4 years were used to assign participants to SES tertiles (lowest, middle, or highest).

Main Outcomes and Measures

Age-appropriate neurodevelopmental outcomes assessed at 4 study time points (ages 1, 4, 8, and 16 years) via in-person administration of a range of well-validated measures. Standardized neurodevelopmental composite scores from each evaluation were derived from principal component analysis and compared across SES tertiles, adjusting for birth and medical characteristics. These scores were used to categorize the sample into latent classes; patient and medical factors for a 3-class model were used to estimate latent class using multinomial regression.

Results

The sample included 164 patients with d-TGA (123 males [75%]; mean [SD] gestational age at birth, 39.8 [1.2] weeks; 3 with Asian [2%], 6 with Black [4%], 5 with Hispanic [3%], and 146 with White [89%] race and ethnicity) and their mothers (mean [SD] age at birth, 28.5 [5.2] years). Lower SES tertile was associated with worse scores on most individual neurodevelopmental tests and worse neurodevelopmental composite scores at ages 4, 8, and 16 years. For example, mean (SD) neurodevelopmental composite scores at age 4 years were -0.49 [0.83] for lowest, 0.00 [0.81] for middle, and 0.47 [1.10] for highest SES tertile (F2 = 15.5; P < .001). When measured at consecutive time points, differences between SES tertiles were of similar magnitude. A latent class analysis produced 2- and 3-class models representing patients with stable (103 [64%] and 85 [53%]), improving (20 [13%]), and declining (57 [36%] and 55 [34%]) neurodevelopmental status. Those experiencing declines in neurodevelopmental status were more likely to have younger maternal age at childbirth (26.6 [5.1] vs 29.6 [4.9] and 29.1 [5.1] years; P = .002), lower maternal IQ (91.0 [14.1] vs 100.1 [11.1] and 96.2 [11.0]; P < .001), and lower SES (35.2 [10.8] vs 40.9 [9.9] and 35.8 [10.1]; P = .003) compared with those with stable or improving status.

Conclusions and Relevance

This cohort study of individuals with d-TGA found an association between lower family SES and worse neurodevelopmental outcomes in childhood and continuing throughout adolescence as well as greater decline in neurodevelopmental status over time. Effective strategies are needed to improve access to neurodevelopmental monitoring and intervention services for children with CHD from lower socioeconomic backgrounds.

Short-term memory binding is insensitive to the socioeconomic status of older adults with and without mild cognitive impairment

Objective: The Visual Short-Term Memory Binding (VSTMB) Test is a useful tool in the assessment of Alzheimer's disease (AD). Research has suggested that short-term memory binding is insensitive to the sociocultural characteristics of the assessed individuals. Such earlier studies addressed this influence by considering years of education. The current study aims to determine the influence of sociocultural factors via a measure of Socioeconomic Status (SES) which provides a more holistic approach to these common confounders. Methods: A sample of 126 older adults, both with (n = 59) and without (n = 67) amnestic mild cognitive impairment (aMCI), underwent assessment using a neuropsychological protocol including VSTMB test. All participants were classified as either high SES or low SES, employing the Standard Demographic Classification from the European Society for Opinion and Marketing Research. Results: ANOVA/ANCOVA models confirmed that performance of healthy and aMCI participants on traditional neuropsychological tests were sensitive to SES whereas the VSTMB Test was not. The results add to the growing array of evidence suggesting that there are cognitive abilities which are unaffected by socioeconomic factors, regardless of clinical condition. Conclusions: The lack of sensitivity to sociocultural factors previously reported for the VSTMB test is accompanied by a lack of sensitivity to socioeconomic factors thus broadening the scope of this test to aid in the detection of dementia across populations with different backgrounds. Future studies should take these findings forward and explore the potential influences of AD biomarkers (A/T/N) on the association between cognitive functions and demographic variables.

Bilingualism modifies cognition through adaptation, not transfer

The standard explanation for bilingual effects on cognition is that an aspect of language processing transfers to nonverbal cognitive performance, leading to improvements in executive functioning. However, much evidence is incompatible with that view, and transfer across those domains seems unlikely. The present argument is that bilingual experience modifies cognition through an adaptation to the underlying attention system, making attention more efficient. 'Transfer' focuses on the overlap of specific processes, so task similarity predicts outcomes. By contrast, 'adaptation' focuses on recruitment of the modified resource, so the degree of attention required predicts outcome. In this view, bilinguals require less attentional effort than monolinguals for similar levels of performance, and outperform monolinguals on tasks with high attention demands regardless of task similarity.

Measuring Socioeconomic and Stress Disparities in Infant Declarative Memory Using the Visual Paired Comparison Task

Research suggests that socioeconomic circumstances and stress predict memory skills in adults and older children, yet few studies have addressed this question in infancy. The current study used the visual-paired comparison paradigm to examine whether socioeconomic circumstances, maternal perceived stress, and/or maternal physiological stress, all measured prenatally, predict memory performance among 6-month-old infants. We found no significant associations between infant memory and any measure of socioeconomic circumstance or stress. Potential explanations for these null findings are discussed.

Interactive roles of preterm-birth and socioeconomic status in cortical thickness of language-related brain structures: Findings from the Adolescent Brain Cognitive Development (ABCD) study

Preterm-born (PTB) children are at an elevated risk for neurocognitive difficulties in general and language difficulties more specifically. Environmental factors such as socio-economic status (SES) play a key role for Term children's language development. SES has been shown to predict PTB children's behavioral developmental trajectories, sometimes surpassing its role for Term children. However, the role of SES in the neurocognitive basis of PTB children's language development remains uncharted. Here, we aimed to evaluate the role of SES in the neural basis of PTB children's language performance. Leveraging the Adolescent Brain Cognitive Development (ABCD) Study, the largest longitudinal study of adolescent brain development and behavior to date, we showed that prematurity status (PTB versus Term) and multiple aspects of SES additively predict variability in cortical thickness, which is in turn related to children's receptive vocabulary performance. We did not find evidence to support the differential role of environmental factors for PTB versus Term children, underscoring that environmental factors are significant contributors to development of both Term and PTB children. Taken together, our results suggest that the environmental factors influencing language development might exhibit similarities across the full spectrum of gestational age.

Influence of intergenerational social mobility on brain structure and global cognition: findings from the Whitehall II study across 20 years

BACKGROUND

Whether changes in socioeconomic position (SEP) across generations, i.e. intergenerational social mobility, influence brain degeneration and cognition in later life is unclear.

OBJECTIVE

To examine the association of social mobility, brain grey matter structure and global cognition.

METHODS

We analysed T1 brain MRI data of 771 old adults (69.8 ± 5.2 years) from the Whitehall II MRI substudy, with MRI data collected between 2012 and 2016. Social mobility was defined by SEP changes from their fathers' generation to mid-life status. Brain structural outcomes include grey matter (GM) volume and cortical thickness (CT) covering whole brain. Global cognition was measured by the Mini Mental State Examination. We firstly conducted analysis of covariance to identify regional difference of GM volume and cortical thickness across stable high/low and upward/downward mobility groups, followed with diagonal reference models studying the relationship between mobility and brain cognitive outcomes, apart from SEP origin and destination. We additionally conducted linear mixed models to check mobility interaction over time, where global cognition was derived from three phases across 2002 to 2017.

RESULTS

Social mobility related to 48 out of the 136 GM volume regions and 4 out of the 68 CT regions. Declined volume was particularly seen in response to downward mobility, whereas no independent association of mobility with global cognition was observed.

CONCLUSION

Despite no strong evidence supporting direct influence of mobility on global cognition in later life, imaging findings warranted a severe level of neurodegeneration due to downward mobility from their father's generation.

Prenatal environment is associated with the pace of cortical network development over the first three years of life

Environmental influences on brain structure and function during early development have been well-characterized, but whether early environments are associated with the pace of brain development is not clear. In pre-registered analyses, we use flexible non-linear models to test the theory that prenatal disadvantage is associated with differences in trajectories of intrinsic brain network development from birth to three years (n = 261). Prenatal disadvantage was assessed using a latent factor of socioeconomic disadvantage that included measures of mother's income-to-needs ratio, educational attainment, area deprivation index, insurance status, and nutrition. We find that prenatal disadvantage is associated with developmental increases in cortical network segregation, with neonates and toddlers with greater exposure to prenatal disadvantage showing a steeper increase in cortical network segregation with age, consistent with accelerated network development. Associations between prenatal disadvantage and cortical network segregation occur at the local scale and conform to a sensorimotor-association hierarchy of cortical organization. Disadvantage-associated differences in cortical network segregation are associated with language abilities at two years, such that lower segregation is associated with improved language abilities. These results shed light on associations between the early environment and trajectories of cortical development.

The Brain Imaging for Global Health (BRIGHT) Project: Longitudinal cohort study protocol

There is a scarcity of prospective longitudinal research targeted at early postnatal life which maps developmental pathways of early-stage processing and brain specialisation in the context of early adversity. Follow up from infancy into the one-five year age range is key, as it constitutes a critical gap between infant and early childhood studies. Availability of portable neuroimaging (functional near infrared spectroscopy (fNIRS) and electroencephalography (EEG)) has enabled access to rural settings increasing the diversity of our sampling and broadening developmental research to include previously underrepresented ethnic-racial and geographical groups in low- and middle- income countries (LMICs). The primary objective of the Brain Imaging for Global Health (BRIGHT) project was to establish brain function - using longitudinal data from mother - for-age reference curves infant dyads living in the UK and rural Gambia and investigate the association between context-associated moderators and developmental trajectories across the first two years of life in The Gambia. In total, 265 participating families were seen during pregnancy, at 7-14 days, 1-, 5-, 8-, 12-, 18- and 24-months post-partum. An additional visit is now underway at 3-5 years to assess pre-school outcomes. The majority of our Gambian cohort live in poverty, but while resource-poor in many factors they commonly experience a rich and beneficial family and caregiving context with multigenerational care and a close-knit supportive community. Understanding the impact of different factors at play in such an environment ( i.e., detrimental undernutrition versus beneficial multigenerational family support) will (i) improve the representativeness of models of general cognitive developmental pathways from birth, (ii) identify causal pathways of altered trajectories associated with early adversity at both individual and group level, and (iii) identify the context-associated moderators ( i.e. social context) that protect development despite the presence of poverty-associated challenges. This will in turn contribute to the development of targeted interventions.

The digital cumulative complexity model: a framework for improving engagement in digital mental health interventions

Mental health disorders affect a substantial portion of the global population. Despite preferences for psychotherapy, access remains limited due to various barriers. Digital mental health interventions (DMHIs) have emerged to increase accessibility, yet engagement and treatment completion rates are concerning. Evidence across healthcare where some degree of self-management is required show that treatment engagement is negatively influenced by contextual complexity. This article examines the non-random factors influencing patient engagement in digital and face-to-face psychological therapies. It reviews established models and introduces an adapted version of the Cumulative Complexity Model (CuCoM) as a framework for understanding engagement in the context of digital mental health. Theoretical models like the Fogg Behavior Model, Persuasive System Design, Self-Determination Theory, and Supportive Accountability aim to explain disengagement. However, none adequately consider these broader contextual factors and their complex interactions with personal characteristics, intervention requirements and technology features. We expand on these models by proposing an application of CuCoM's application in mental health and digital contexts (known as DiCuCoM), focusing on the interplay between patient burden, personal capacity, and treatment demands. Standardized DMHIs often fail to consider individual variations in burden and capacity, leading to engagement variation. DiCuCoM highlights the need for balancing patient workload with capacity to improve engagement. Factors such as life demands, burden of treatment, and personal capacity are examined for their influence on treatment adherence. The article proposes a person-centered approach to treatment, informed by models like CuCoM and Minimally Disruptive Medicine, emphasizing the need for mental healthcare systems to acknowledge and address the unique burdens and capacities of individuals. Strategies for enhancing engagement include assessing personal capacity, reducing treatment burden, and utilizing technology to predict and respond to disengagement. New interventions informed by such models could lead to better engagement and ultimately better outcomes.

Family Environment Modulates Linkage of Transdiagnostic Psychiatric Phenotypes and Dissociable Brain Features in the Developing Brain

BACKGROUND

Family environment has long been known for shaping brain function and psychiatric phenotypes, especially during childhood and adolescence. Accumulating neuroimaging evidence suggests that across different psychiatric disorders, common phenotypes may share common neural bases, indicating latent brain-behavior relationships beyond diagnostic categories. However, the influence of family environment on the brain-behavior relationship from a transdiagnostic perspective remains unknown.

METHODS

We included a community-based sample of 699 participants (ages 5-22 years) and applied partial least squares regression analysis to determine latent brain-behavior relationships from whole-brain functional connectivity and comprehensive phenotypic measures. Comparisons were made between diagnostic and nondiagnostic groups to help interpret the latent brain-behavior relationships. A moderation model was introduced to examine the potential moderating role of family factors in the estimated brain-behavior associations.

RESULTS

Four significant latent brain-behavior pairs were identified that reflected the relationship of dissociable brain network and general behavioral problems, cognitive and language skills, externalizing problems, and social dysfunction, respectively. The group comparisons exhibited interpretable variations across different diagnostic groups. A warm family environment was found to moderate the brain-behavior relationship of core symptoms in internalizing disorders. However, in neurodevelopmental disorders, family factors were not found to moderate the brain-behavior relationship of core symptoms, but they were found to affect the brain-behavior relationship in other domains.

CONCLUSIONS

Our findings leveraged a transdiagnostic analysis to investigate the moderating effects of family factors on brain-behavior associations, emphasizing the different roles that family factors play during this developmental period across distinct diagnostic groups.

Environmental contributions to cognitive development: The role of cognitive stimulation

Early environmental experiences influence children's cognitive and neural development. In particular, cognitive stimulation, defined as environmental inputs that engage the senses and provide learning opportunities for children, fosters acquisition of knowledge across various cognitive domains. Low levels of cognitive stimulation in early life may restrict learning opportunities, contributing to lasting consequences for neural development and later academic and occupational achievement. This review delves into the role of cognitive stimulation in neural development and related cognitive performance, available tools for measuring cognitive stimulation in various settings, and offers insights into future research directions. In addition, variability in cognitive stimulation, often linked to differences in socioeconomic status, may create disparities in children's access to enriching experiences that provide the foundation for learning. We therefore briefly review the role of socioeconomic status in cognitive stimulation and cognitive development. We also leverage evidence from intervention studies to illustrate the importance of cognitive stimulation for children's outcomes. Investigating the influence of cognitive stimulation on children's brain and behavior development is crucial for developing effective intervention strategies to foster the healthy development of all children and unlocking their full potential.

Educational disparities in brain health and dementia across Latin America and the United States

BACKGROUND

Education influences brain health and dementia. However, its impact across regions, specifically Latin America (LA) and the United States (US), is unknown.

METHODS

A total of 1412 participants comprising controls, patients with Alzheimer's disease (AD), and frontotemporal lobar degeneration (FTLD) from LA and the US were included. We studied the association of education with brain volume and functional connectivity while controlling for imaging quality and variability, age, sex, total intracranial volume (TIV), and recording type.

RESULTS

Education influenced brain measures, explaining 24%-98% of the geographical differences. The educational disparities between LA and the US were associated with gray matter volume and connectivity variations, especially in LA and AD patients. Education emerged as a critical factor in classifying aging and dementia across regions.

DISCUSSION

The results underscore the impact of education on brain structure and function in LA, highlighting the importance of incorporating educational factors into diagnosing, care, and prevention, and emphasizing the need for global diversity in research.

HIGHLIGHTS

Lower education was linked to reduced brain volume and connectivity in healthy controls (HCs), Alzheimer's disease (AD), and frontotemporal lobar degeneration (FTLD). Latin American cohorts have lower educational levels compared to the those in the United States. Educational disparities majorly drive brain health differences between regions. Educational differences were significant in both conditions, but more in AD than FTLD. Education stands as a critical factor in classifying aging and dementia across regions.

Relations among Socioeconomic Status, Perceived Stress, and the Home Language Environment

While socioeconomic disparities in the home language environment have been well established, the mechanisms explaining these disparities are poorly understood. One plausible mechanism is heightened stress. The current study investigated whether maternal perceived stress was 1) associated with measures of the home language environment, and 2) mediated the relation between socioeconomic disparities and the home language environment. Data from three independent studies were analyzed, which together comprised 322 mother-child dyads. Two studies included mothers and their six- to twelve-month-old infants (N = 227). The third included mothers and their five- to nine-year-old children (N = 95). Mothers reported their educational attainment, income, and stress. Language Environment Analysis (LENA) measured the home language environment. As has been previously reported, socioeconomic disparities were observed in adult words and conversational turns. Stress did not mediate these associations, nor was it associated with adult words or conversational turns. Alternate mechanisms for future exploration are discussed.

Mothers with low incomes view both individual and structural interventions as potentially helpful for supporting early child development

Many developmental psychologists aspire to conduct research that informs interventions and policies to prevent income-related disparities in child development. Among growing researcher discussion about the value of interventions that target "structural" and resource-related correlates of income inequality and child development (e.g., housing, food, material goods, cash), rather than individual, person-centered correlates (e.g., parenting behaviors), the perspectives of mothers with low incomes may provide important context. 281 mothers with young children and low incomes rated various structural and individual interventions, framed as having minimal costs and entry barriers, for their perceived helpfulness. Analyses were pre-registered. Overall, mothers rated all interventions very highly, though they rated structural interventions as slightly more helpful than individual interventions. Mothers rated interventions they used in the past as less helpful than those they hadn't previously used. An exploratory qualitative analysis revealed mothers' desires for supports in other intervention domains beyond those addressed in our survey. Together, mothers' responses indicated that they did not see individual interventions as inherently unhelpful due to a focus on individual states, knowledge, and skills. Implications for developmental psychology and intervention science are discussed.

Cognitive Trajectories and Alzheimer Disease Biomarkers: From Successful Cognitive Aging to Clinical Impairment

OBJECTIVE

Cross-sectional definitions of successful cognitive aging have been widely utilized, but longitudinal measurements can identify people who do not decline. We performed this study to contrast maintenance with declining trajectories, including clinical conversion.

METHODS

We included baseline cognitively unimpaired Alzheimer's Disease Neuroimaging Initiative participants with 3 or more cognitive testing sessions (n = 539, follow-up 6.1 ± 3.5 years) and calculated slopes of an episodic memory composite (MEM) to classify them into two groups: maintainers (slope ≥ 0) and decliners (slope < 0). Within decliners, we examined a subgroup of individuals who became clinically impaired during follow-up. These groups were compared on baseline characteristics and cognitive performance, as well as both cross-sectional and longitudinal Alzheimer disease (AD) biomarker measures (beta-amyloid [Aβ], tau, and hippocampal volume).

RESULTS

Forty-one percent (n = 221) of the cohort were MEM maintainers, and 33% (n = 105) of decliners converted to clinical impairment during follow-up. Compared to those with superior baseline scores, maintainers had lower education and were more likely to be male. Maintainers and decliners did not differ on baseline MEM scores, but maintainers did have higher non-MEM cognitive scores. Maintainers had lower baseline global Aβ, lower tau pathology, and larger hippocampal volumes than decliners, even after removing converters. There were no differences in rates of change of any AD biomarkers between any cognitive trajectory groups except for a higher rate of hippocampal atrophy in clinical converters compared to maintainers.

INTERPRETATION

Using longitudinal data to define cognitive trajectory groups reduces education and sex bias and reveals the prognostic importance of early onset of accumulation of AD pathology. ANN NEUROL 2024;96:378-389.

Association of Socioeconomic Status and a Broad Combination of Lifestyle Factors With Adult-Onset Asthma: A Cohort Study

BACKGROUND

The prevalence of asthma is gradually increasing worldwide, and there are socioeconomic inequalities in the risk of developing asthma.

OBJECTIVE

To evaluate whether the lifestyle is associated with asthma in adults, as well as whether and to what extent healthy lifestyles may modify socioeconomic status (SES) inequities in asthma.

METHODS

This study included a total of 223,951 participants from the UK Biobank. Smoking, physical activity, alcohol consumption, healthy diet patterns, sedentary time, and sleep duration items were used to construct the lifestyle score. Income, education, and occupation were used to assess SES. Cases of adult-onset asthma were identified on the basis of electronic health records. The Cox proportional hazards regression was used to explore the association of socioeconomic inequality and lifestyle factors with asthma.

RESULTS

Compared with the most healthy lifestyle category, the hazard ratios (95% CIs) of the moderately healthy lifestyle and least healthy lifestyle categories for asthma were 1.08 (1.01-1.15) and 1.29 (1.20-1.39), respectively. A significant interaction (Pinteraction < .05) was found between lifestyle categories and SES, and the association between them was more pronounced in participants with low SES (hazard ratioleast healthy vs most healthy, 1.58; 95% CI, 1.40-1.80). The joint analysis revealed that the risk of asthma was highest among participants with the lowest SES and the least healthy lifestyles (hazard ratio, 2.02; 95% CI, 1.74-2.33).

CONCLUSIONS

Unhealthy lifestyle factors are associated with an increased risk of asthma in adults, and socioeconomically disadvantaged groups are more negatively affected by unhealthy lifestyles. Public health strategies for asthma prevention may need to be tailored according to SES, and social policies to reduce poverty are needed alongside lifestyle interventions in areas of deprivation.

Adaptation and validation for use in Brazil of the Confusion, Hubbub, and Order Scale (CHAOS)

BACKGROUND

The Confusion, Hubbub, and Order Scale (CHAOS in English Version) was originally developed in the USA by Matheny et al (Bringing order out of chaos: psychometric characteristics of the confusion, hubbub, and order scale. Journal of Applied Developmental Psychology 16(3):429-444, 1995) to measure chaos in the family environment, characterized by confusion, lack of routine, and organization.

OBJECTIVE

To present evidence of content validity, internal structure validity, and validity based on relationships with external measures of an adapted version of the CHAOS into Brasilian Portuguese with adolescents sample in São Paulo - Brasil.

METHOD

Study 1 involved the translation/back-translation and adaptation of the scale into Brazilian Portuguese [here named "Escala de Confusão, Alvoroço e Ordem no Sistema familiar" (CAOS)], assessed by 5 judges. In Study 2, we conducted an exploratory factor analyses (EFA) to determine the scale's factor structure (N = 180 adults). In Study 3, we carried out confirmatory factor analyses (CFA) to confirm the internal validity of the scale, along with complete structural equation modeling to explore convergent validity in another sample (N = 239 adolescents).

RESULTS

The CAOS scale displayed content validity, and the EFA and CFA showed a unifactorial structure (with some scale adjustments) with an acceptable fit. The family chaos latent factor was associated with externalizing symptoms and perceived stress in adolescents.

CONCLUSION

Overall, the Brazilian version of the scale presented evidence of construct, internal, and concurrent validity that indicate its usefulness in Brazil.

Structural and functional brain correlates of socioeconomic status across the life span: A systematic review

It is well-established that higher socioeconomic status (SES) is associated with improved brain health. However, the effects of SES across different life stages on brain structure and function is still equivocal. In this systematic review, we aimed to synthesise findings from life course neuroimaging studies that investigated the structural and functional brain correlates of SES across the life span. The results indicated that higher SES across different life stages were independently and cumulatively related to neural outcomes typically reflective of greater brain health (e.g., increased cortical thickness, grey matter volume, fractional anisotropy, and network segregation) in adult individuals. The results also demonstrated that the corticolimbic system was most commonly impacted by socioeconomic disadvantages across the life span. This review highlights the importance of taking into account SES across the life span when studying its effects on brain health. It also provides directions for future research including the need for longitudinal and multimodal research that can inform effective policy interventions tailored to specific life stages.

Epigenetic scores derived in saliva are associated with gestational age at birth

BACKGROUND

Epigenetic scores (EpiScores), reflecting DNA methylation (DNAm)-based surrogates for complex traits, have been developed for multiple circulating proteins. EpiScores for pro-inflammatory proteins, such as C-reactive protein (DNAm CRP), are associated with brain health and cognition in adults and with inflammatory comorbidities of preterm birth in neonates. Social disadvantage can become embedded in child development through inflammation, and deprivation is overrepresented in preterm infants. We tested the hypotheses that preterm birth and socioeconomic status (SES) are associated with alterations in a set of EpiScores enriched for inflammation-associated proteins.

RESULTS

In total, 104 protein EpiScores were derived from saliva samples of 332 neonates born at gestational age (GA) 22.14 to 42.14 weeks. Saliva sampling was between 36.57 and 47.14 weeks. Forty-three (41%) EpiScores were associated with low GA at birth (standardised estimates |0.14 to 0.88|, Bonferroni-adjusted p-value < 8.3 × 10-3). These included EpiScores for chemokines, growth factors, proteins involved in neurogenesis and vascular development, cell membrane proteins and receptors, and other immune proteins. Three EpiScores were associated with SES, or the interaction between birth GA and SES: afamin, intercellular adhesion molecule 5, and hepatocyte growth factor-like protein (standardised estimates |0.06 to 0.13|, Bonferroni-adjusted p-value < 8.3 × 10-3). In a preterm subgroup (n = 217, median [range] GA 29.29 weeks [22.14 to 33.0 weeks]), SES-EpiScore associations did not remain statistically significant after adjustment for sepsis, bronchopulmonary dysplasia, necrotising enterocolitis, and histological chorioamnionitis.

CONCLUSIONS

Low birth GA is substantially associated with a set of EpiScores. The set was enriched for inflammatory proteins, providing new insights into immune dysregulation in preterm infants. SES had fewer associations with EpiScores; these tended to have small effect sizes and were not statistically significant after adjusting for inflammatory comorbidities. This suggests that inflammation is unlikely to be the primary axis through which SES becomes embedded in the development of preterm infants in the neonatal period.

Population-level normative models reveal race- and socioeconomic-related variability in cortical thickness of threat neurocircuitry

The inequitable distribution of economic resources and exposure to adversity between racial groups contributes to mental health disparities within the United States. Consideration of the potential neurodevelopmental consequences, however, has been limited particularly for neurocircuitry known to regulate the emotional response to threat. Characterizing the consequences of inequity on threat neurocircuitry is critical for robust and generalizable neurobiological models of psychiatric illness. Here we use data from the Adolescent Brain and Cognitive Development Study 4.0 release to investigate the contributions of individual and neighborhood-level economic resources and exposure to discrimination. We investigate the potential appearance of race-related differences using both standard methods and through population-level normative modeling. We show that, in a sample of white and Black adolescents, racial inequities in socioeconomic factors largely contribute to the appearance of race-related differences in cortical thickness of threat neurocircuitry. The race-related differences are preserved through the use of population-level models and such models also preserve associations between cortical thickness and specific socioeconomic factors. The present findings highlight that such socioeconomic inequities largely underlie race-related differences in brain morphology. The present findings provide important new insight for the generation of generalizable neurobiological models of psychiatric illness.

Roles of caregiver-child interaction on the association of socioeconomic status with early childhood development: a population-based study in rural China

OBJECTIVE

Socioeconomic status (SES) has been previously associated with children's early development, health, and nutrition; however, evidence about the potential role of caregiver-child interaction in such associations was limited. This study aimed to explore the effect of caregiver-child interaction on the associations of SES with child developmental outcomes, including early neurodevelopment and social-emotional behavior.

METHODS

A cross-sectional survey was conducted among 2078 children aged 0-6 in a rural county that just lifted out of poverty in 2020 in Central China. The Ages & Stages Questionnaires-Chinese version (ASQ-C) and the Social-Emotional (ASQ: SE) questionnaire were used to assess children's early neurodevelopment and social-emotional behavior, respectively. Caregiver-child interaction was evaluated with the Brigance Parent-Child Interactions Scale. Regression-based statistical mediation and moderation effect were conducted with the PROCESS macro of SPSS.

RESULTS

Children with low SES had an increased risk of suspected neurodevelopmental delay [OR = 1.92, 95% CI: 1.50, 2.44] and social-emotional developmental delay [OR = 1.31, 95% CI: 1.04, 1.66]. The caregiver-child interaction partially mediated the associations of SES with child developmental outcomes; the proportion of the indirect effect was 14.9% for ASQ-C total score and 32.1% for ASQ: SE score. Moreover, the caregiver-child interaction had a significant moderation effect on the association of SES with ASQ-C total score (P < 0.05). A weaker association was observed in children with high-level caregiver-child interaction than in medium and low ones. Similar moderating effects were found among boys but not girls.

CONCLUSION

Caregiver-child interaction plays a vital role in the relationship between SES and child development. Children with low SES households will benefit more in terms of their early development from intervention programs strengthening caregiver-child interaction.

At the onset of active whisking, the input layer of barrel cortex exhibits a 24 h window of increased excitability that depends on prior experience

The development of motor control over sensory organs is a critical milestone in sensory processing, enabling active exploration and shaping of the sensory environment. However, whether the onset of sensory organ motor control directly influences the development of corresponding sensory cortices remains unknown. Here, we exploit the late onset of whisking behavior in mice to address this question in the somatosensory system. Using ex vivo electrophysiology, we discovered a transient increase in the intrinsic excitability of excitatory neurons in layer IV of the barrel cortex, which processes whisker input, precisely coinciding with the onset of active whisking at postnatal day 14 (P14). This increase in neuronal gain was specific to layer IV, independent of changes in synaptic strength, and required prior sensory experience. Strikingly, the effect was not observed in layer II/III of the barrel cortex or in the visual cortex upon eye opening, suggesting a unique interaction between the development of active sensing and the thalamocortical input layer in the somatosensory system. Predictive modeling indicated that changes in active membrane conductances alone could reliably distinguish P14 neurons in control but not whisker-deprived hemispheres. Our findings demonstrate an experience-dependent, lamina-specific refinement of neuronal excitability tightly linked to the emergence of active whisking. This transient increase in the gain of the thalamic input layer coincides with a critical period for synaptic plasticity in downstream layers, suggesting a role in facilitating cortical maturation and sensory processing. Together, our results provide evidence for a direct interaction between the development of motor control and sensory cortex, offering new insights into the experience-dependent development and refinement of sensory systems. These findings have broad implications for understanding the interplay between motor and sensory development, and how the mechanisms of perception cooperate with behavior.

Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples

Neuroimaging is a popular method to map brain structural and functional patterns to complex human traits. Recently published observations cast doubt upon these prospects, particularly for prediction of cognitive traits from structural and resting state functional magnetic resonance imaging (MRI). We leverage baseline data from thousands of children in the Adolescent Brain Cognitive DevelopmentSM Study to inform the replication sample size required with univariate and multivariate methods across different imaging modalities to detect reproducible brain-behavior associations. We demonstrate that by applying multivariate methods to high-dimensional brain imaging data, we can capture lower dimensional patterns of structural and functional brain architecture that correlate robustly with cognitive phenotypes and are reproducible with only 41 individuals in the replication sample for working memory-related functional MRI, and ~ 100 subjects for structural and resting state MRI. Even with 100 random re-samplings of 100 subjects in discovery, prediction can be adequately powered with 66 subjects in replication for multivariate prediction of cognition with working memory task functional MRI. These results point to an important role for neuroimaging in translational neurodevelopmental research and showcase how findings in large samples can inform reproducible brain-behavior associations in small sample sizes that are at the heart of many research programs and grants.

Meta-Analysis of Hippocampal Volume and Episodic Memory in Preterm and Term Born Individuals

Preterm birth (< 37 weeks gestation) has been associated with memory deficits, which has prompted investigation of possible alterations in hippocampal volume in this population. However, existing literature reports varying effects of premature birth on hippocampal volume. Specifically, it is unclear whether smaller hippocampal volume in preterm-born individuals is merely reflective of smaller total brain volume. Further, it is not clear if hippocampal volume is associated with episodic memory functioning in preterm-born individuals. Meta-analysis was used to investigate the effects of premature birth on hippocampal volume and episodic memory from early development to young adulthood (birth to 26). PubMed, PsychINFO, and Web of Science were searched for English peer-reviewed articles that included hippocampal volume of preterm and term-born individuals. Thirty articles met the inclusion criteria. Separate meta-analyses were used to evaluate standardized mean differences between preterm and term-born individuals in uncorrected and corrected hippocampal volume, as well as verbal and visual episodic memory. Both uncorrected and corrected hippocampal volume were smaller in preterm-born compared to term-born individuals. Although preterm-born individuals had lower episodic memory performance than term-born individuals, the limited number of studies only permitted a qualitative review of the association between episodic memory performance and hippocampal volume. Tested moderators included mean age, pre/post-surfactant era, birth weight, gestational age, demarcation method, magnet strength, and slice thickness. With this meta-analysis, we provide novel evidence of the effects of premature birth on hippocampal volume.

Lower Childhood Socioeconomic Status Is Associated with Greater Neural Responses to Ambient Auditory Changes in Adulthood

Humans' early life experience varies by socioeconomic status (SES), raising the question of how this difference is reflected in the adult brain. An important aspect of brain function is the ability to detect salient ambient changes while focusing on a task. Here, we ask whether subjective social status during childhood is reflected by the way young adults' brain detecting changes in irrelevant information. In two studies (total n = 58), we examine electrical brain responses in the frontocentral region to a series of auditory tones, consisting of standard stimuli (80%) and deviant stimuli (20%) interspersed randomly, while participants were engaged in various visual tasks. Both studies showed stronger automatic change detection indexed by MMN in lower SES individuals, regardless of the unattended sound's feature, attended emotional content, or study type. Moreover, we observed a larger MMN in lower-SES participants, although they did not show differences in brain and behavior responses to the attended task. Lower-SES people also did not involuntarily orient more attention to sound changes (i.e., deviant stimuli), as indexed by the P3a. The study indicates that individuals with lower subjective social status may have an increased ability to automatically detect changes in their environment, which may suggest their adaptation to their childhood environments.

Socioeconomic Inequalities Affect Brain Responses of Infants Growing Up in Germany

Developmental changes in functional neural networks are sensitive to environmental influences. This EEG study investigated how infant brain responses relate to the social context that their families live in. Event-related potentials of 255 healthy, awake infants between six and fourteen months were measured during a passive auditory oddball paradigm. Infants were presented with 200 standard tones and 48 randomly distributed deviants. All infants are part of a longitudinal study focusing on families with socioeconomic and/or cultural challenges (Bremen Initiative to Foster Early Childhood Development; BRISE; Germany). As part of their familial socioeconomic status (SES), parental level of education and infant's migration background were assessed with questionnaires. For 30.6% of the infants both parents had a low level of education (≤10 years of schooling) and for 43.1% of the infants at least one parent was born abroad. The N2-P3a complex is associated with unintentional directing of attention to deviant stimuli and was analysed in frontocentral brain regions. Age was utilised as a control variable. Our results show that tone deviations in infants trigger an immature N2-P3a complex. Contrary to studies with older children or adults, the N2 amplitude was more positive for deviants than for standards. This may be related to an immature superposition of the N2 with the P3a. For infants whose parents had no high-school degree and were born abroad, this tendency was increased, indicating that facing multiple challenges as a young family impacts on the infant's early neural development. As such, attending to unexpected stimulus changes may be important for early learning processes. Variations of the infant N2-P3a complex may, thus, relate to early changes in attentional capacity and learning experiences due to familial challenges. This points towards the importance of early prevention programs.

Effects of Ambient Air Pollution on Brain Cortical Thickness and Subcortical Volume: A Longitudinal Neuroimaging Study

INTRODUCTION

Several cross-sectional studies have shown that long-term exposures to air pollutants are associated with smaller brain cortical volume or thickness. Here, we investigated longitudinal associations of long-term air pollution exposures with cortical thickness and subcortical volume.

METHODS

In this longitudinal study, we included a prospective cohort of 361 adults residing in four cities in the Republic of Korea. Long-term concentrations of particulate matter with aerodynamic diameters of ≤10 μm (PM10) and ≤2.5 μm (PM2.5) and nitrogen dioxide (NO2) at residential addresses were estimated. Neuroimaging markers (cortical thickness and subcortical volume) were obtained from brain magnetic resonance images at baseline (August 2014 to March 2017) and at the 3-year follow-up (until September 2020). Linear mixed-effects models were used, adjusting for covariates.

RESULTS

A 10-μg/m3 increase in PM10 was associated with reduced whole-brain mean (β = -0.45, standard error [SE] = 0.10; p < 0.001), frontal (β = -0.53, SE = 0.11; p < 0.001) and temporal thicknesses (β = -0.37, SE = 0.12; p = 0.002). A 10-ppb increase in NO2 was associated with a decline in the whole-brain mean cortical thickness (β = -0.23, SE = 0.05; p < 0.001), frontal (β = -0.25, SE = 0.05; p < 0.001), parietal (β = -0.12, SE = 0.05; p = 0.025), and temporal thicknesses (β = -0.19, SE = 0.06; p = 0.001). Subcortical structures associated with air pollutants included the thalamus.

CONCLUSIONS

Long-term exposures to PM10 and NO2 may lead to cortical thinning in adults.