Associations Between Socioeconomic Status, Obesity, Cognition, and White Matter Microstructure in Children

Sex-differences in brain multimodal estimates of white matter microstructure during early adolescence: Sex-specific associations with biological factors

Adolescence is marked by significant maturation of brain white matter microstructure, with evidence for sex-specific maturational trajectory. Most studies have examined conventional diffusion tensor imaging (DTI) metrics, which lack specificity to the underlying tissue modifications. In this study, we characterized sex-differences in white matter microstructure cross-sectionally using DTI, advanced diffusion spectrum imaging (DSI) and diffusion kurtosis imaging (DKI), as well as the white matter tract integrity-Watson (WMTI-W) biophysical model. We also aimed to explore the effect of age and biological systems undergoing sex-specific changes during adolescence, namely pubertal hormones, hypothalamic-pituitary-adrenal (HPA)-axis function, and glutathione-redox cycle homeostasis. The results indicate widespread sex-differences in all the white matter derived metrics, suggesting more advanced maturation in females compared to males as well as distinct tissue modifications underlying white matter maturation between males and females during this narrow developmental period. Additionally, the three biological factors explored appeared to be associated with indices of white matter maturation in females specifically, emphasizing this period as critical in female white matter development and sensitivity to environmental factors.

White matter microstructure links with brain, bodily and genetic attributes in adolescence, mid- and late life

Advanced diffusion magnetic resonance imaging (dMRI) allows one to probe and assess brain white matter (WM) organisation and microstructure in vivo. Various dMRI models with different theoretical and practical assumptions have been developed, representing partly overlapping characteristics of the underlying brain biology with potentially complementary value in the cognitive and clinical neurosciences. To which degree the different dMRI metrics relate to clinically relevant geno- and phenotypes is still debated. Hence, we investigate how tract-based and whole WM skeleton parameters from different dMRI approaches associate with clinically relevant and white matter-related phenotypes (sex, age, pulse pressure (PP), body-mass-index (BMI), brain asymmetry) and genetic markers in the UK Biobank (UKB, n=52,140) and the Adolescent Brain Cognitive Development (ABCD) Study (n=5,844). In general, none of the imaging approaches could explain all examined phenotypes, though the approaches were overall similar in explaining variability of the examined phenotypes. Nevertheless, particular diffusion parameters of the used dMRI approaches stood out in explaining some important phenotypes known to correlate with general human health outcomes. A multi-compartment Bayesian dMRI approach provided the strongest WM associations with age, and together with diffusion tensor imaging, the largest accuracy for sex-classifications. We find a similar pattern of metric and tract-dependent asymmetries across datasets, with stronger asymmetries in ABCD data. The magnitude of WM associations with polygenic scores as well as PP depended more on the sample, and likely age, than dMRI metrics. However, kurtosis was most indicative of BMI and potentially of bipolar disorder polygenic scores. We conclude that WM microstructure is differentially associated with clinically relevant pheno- and genotypes at different points in life.

Social network size, empathy, and white matter: A diffusion tensor imaging (DTI) study

Social networks are fundamental for social interactions, with the social brain hypothesis positing that the size of the neocortex evolved to meet social demands. However, the role of fractional anisotropy (FA) in white matter (WM) tracts relevant to mentalizing, empathy, and social networks remains unclear. In this study, we investigated the relationships between FA in brain regions associated with social cognition (superior longitudinal fasciculus (SLF), cingulum (CING), uncinate fasciculus, inferior fronto-occipital fasciculus), social network characteristics (diversity, size, complexity), and empathy (cognitive, affective). We employed diffusion tensor imaging, tract-based spatial statistics, and mediation analyses to examine these associations. Our findings revealed that increased social network size was positively correlated with FA in the left SLF. Further, our mediation analysis showed that lower FA in left CING was associated with increased social network size, mediated by cognitive empathy. In summary, our findings suggest that WM tracts involved in social cognition play distinct roles in social network size and empathy, potentially implicating affective brain regions. In conclusion, our findings offer new perspectives on the cognitive mechanisms involved in understanding others' mental states and experiencing empathy within supportive social networks, with potential implications for understanding individual differences in social behavior and mental health.

Altered spontaneous neural activity and its association with cognition, abdominal fat and liver function in children with obesity

BACKGROUND

The spontaneous neural activity alterations and their correlations with cognition, abdominal fat, and liver function in children with obesity remains unclear. This study examined the spontaneous neural activity variations in children with obesity using fractional amplitude of low-frequency fluctuation (fALFF) analysis and correlated the findings with clinical data.

METHODS

Fifty-nine children with obesity and forty-eight healthy controls underwent resting-state functional MRI. The brain regions with altered fALFF values between the two groups were extracted and the correlations with clinical data were assessed.

RESULTS

Compared with controls, children with obesity had higher fALFF values in the left insula, left superior temporal gyrus (STG), left middle frontal gyrus and right middle cingulate gyrus (MCG). In the obesity group, fALFF values in the left STG positively correlated with visceral and subcutaneous adipose tissue area and verbal comprehension index. Contrastingly, fALFF values in the right MCG positively correlated with alanine aminotransferase and aspartate aminotransferase levels.

CONCLUSIONS

Childhood obesity is associated with impaired spontaneous neural activity in brain regions linked to salience, self-control and inhibition, and verbal comprehension. In children with obesity, language comprehension may be impacted by STG's neural activity, whilst regional neural activity may be influenced by abdominal fat and liver function.

IMPACT

Childhood obesity is linked to diminished verbal understanding and impaired spontaneous neural activity in brain that handle salience, executive function, and verbal processing. The ability to comprehend language can be compromised in children with obesity due to changes in spontaneous neural activity. Regional spontaneous neural activity may be affected by abdominal fat and liver function in children with obesity.

Understanding the interplay of Caesarean delivery and genetic influences on intelligence and anxiety traits in offspring findings from genome-wide association studies

Background

Recent research suggests that genetic factors linked to Caesarean delivery may influence variations in children's intelligence and anxiety traits. This review synthesizes findings from genome-wide association studies (GWAS) to examine these associations, clarifying that it does not establish causation.

Methods

This review systematically aggregated findings from GWAS studying the impact of Caesarean delivery on intelligence and anxiety traits. A thorough literature search was performed in key scientific databases like PubMed and Scopus, using various keywords related to delivery methods, cognitive traits, and psychological outcomes from 2005, when the first GWAS was published, through December 1, 2024. The inclusion criteria focused on original research articles published in English, excluding studies involving non-human subjects or without empirical data. The quality of the studies was assessed using a modified STROBE checklist adapted for GWAS.

Results

Five GWAS identified 36 significant genetic loci associated with intelligence and anxiety traits in offspring related to Caesarean delivery. In terms of verbal intelligence, four alleles were found to be significantly linked to decreased scores, with allele rs1276529-G associated with a mean reduction of -2.04 units (p = 1E-6). Conversely, allele rs705670-G correlated with an increase in performance intelligence scores, resulting in a mean elevation of 2.3 units (p = 3E-7). Several alleles exhibited a negative correlation with overall intelligence, particularly rs17800861-A, which was associated with a mean decrease of 3.32 units (p = 7E-7). Significant risk alleles for anxiety were also identified, including rs62389045-C, linked to a 117 % increase in the risk of anxiety symptoms (p = 4E-8). Furthermore, in the context of self-injury, 17 risk alleles were identified, with allele rs117077436-C demonstrating an odds ratio of 11.34 (p = 3E-9).

Conclusion

This study highlights multiple genetic loci associated with verbal performance, overall intelligence, and susceptibility to anxiety, revealing significant variations in offspring delivered via Caesarean section. While certain alleles are linked to increased risks of anxiety and self-injurious behavior, the results underscore the presence of genetic predispositions influencing cognitive and psychological outcomes. It is essential to emphasize that GWAS findings indicate associations rather than causal relationships. Further exploration into the biological mechanisms and environmental interactions that underlie these complex traits is warranted.

Arginine metabolism and neurocognitive impairment in offspring of bipolar parents: a high-risk case-control study

Introduction

The aim of this study is to investigate whether arginine and its metabolites can be an endophenotype for bipolar disorder (BD) and to evaluate the role of arginine metabolites and neurocognitive function levels in unaffected healthy children of parents diagnosed with BD in cognitive impairment.

Methods

The study included 37 healthy children of parents diagnosed with BD Type I as the high-risk group and 36 healthy children of parents without any psychiatric disorders as the control group. The arginine, n-monomethyl-l-arginine acetate (L-NMMA), asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), citrulline, homoarginine, ornithine serum levels, and nitric oxide synthase (NOS) activity level of both groups were compared.

Results

The study found that in the high-risk group, ADMA, SDMA, and ornithine levels were significantly higher compared to the controls, while citrulline and NOS activity level were significantly lower in the high-risk group compared to the controls. All neurocognitive performances of the high-risk group were considered statistically significantly worse compared to controls. The impairment in neurocognitive functions in the high-risk group was found to be correlated with ADMA, L-NMMA, citrulline, homoarginine, ornithine levels, and NOS activity level.

Discussion

These findings highlight a potential link between arginine metabolism and executive dysfunction in individuals at high risk for BD. Further longitudinal studies are essential to fully understand the complex interactions between these factors.

Maternal concentrations of perfluoroalkyl sulfonates and alterations in white matter microstructure in the developing brains of young children

BACKGROUND

Maternal exposure to per- and polyfluoroalkyl substances (PFAS) has been linked to child neurodevelopmental difficulties. Neuroimaging research has linked these neurodevelopmental difficulties to white matter microstructure alterations, but the effects of PFAS on children's white matter microstructure remains unclear. We investigated associations between maternal blood concentrations of six common perfluoroalkyl sulfonates and white matter alterations in young children using longitudinal neuroimaging data.

METHODS

This study included 84 maternal-child pairs from a Canadian pregnancy cohort. Maternal second trimester blood concentrations of perfluorohexanesulfonate (PFHxS) and five perfluorooctane sulfonate (PFOS) isomers were quantified. Children underwent magnetic resonance imaging scans between ages two and six (279 scans total). Adjusted linear mixed models investigated associations between each exposure and white matter fractional anisotropy (FA) and mean diffusivity (MD).

RESULTS

Higher maternal concentrations of perfluoroalkyl sulfonates were associated with higher MD and lower FA in the body and splenium of the corpus callosum of young children. Multiple sex-specific associations were found. In males, PFHxS was negatively associated with FA in the superior longitudinal fasciculus, while PFOS isomers were positively associated with MD in the inferior longitudinal fasciculus (ILF). In females, PFOS isomers were positively associated with FA in the pyramidal fibers and MD in the fornix, but negatively associated with MD in the ILF.

CONCLUSION

Maternal exposure to perfluoroalkyl sulfonates may alter sex-specific white matter development in young children, potentially contributing to neurodevelopmental difficulties. Larger studies are needed to replicate these findings and examine the neurotoxicity of these chemicals.

Neurodevelopmental imprints of sociomarkers in adolescent brain connectomes

Neural consequences of social disparities are not yet rigorously investigated. How socioeconomic conditions influence children's connectome development remains unknown. This paper endeavors to gauge how precisely the connectome structure of the brain can predict an individual's social environment, thereby inversely assessing how social influences are engraved in the neural development of the Adolescent brain. Utilizing Adolescent Brain and Cognition Development (ABCD) data (9099 children residing in the United States), we found that social conditions both at the household and neighborhood levels are significantly associated with specific neural connections. Solely with brain connectome data, we train a linear support vector machine (SVM) to predict socio-economic conditions of those adolescents. The classification performance generally improves when the thresholds of the advantageous and disadvantageous environments compartmentalize the extreme cases. Among the tested thresholds, the 20th and 80th percentile thresholds using the dual combination of household income and neighborhood education yielded the highest Area Under the Precision-Recall Curve (AUPRC) of 0.8224. We identified 8 significant connections that critically contribute to predicting social environments in the parietal lobe and frontal lobe. Insights into social factors that contribute to early brain connectome development is critical to mitigate the disadvantages of children growing up in unfavorable neighborhoods.

Isotemporal substitution of sedentary behavior with physical activity and its influence on depressive symptoms among adults with overweight/obesity in the United States: A cross-sectional study

Objective

This cross-sectional study examined the influence of sedentary behavior (SB) time substitution with physical activity (PA) on depressive symptoms among adults with overweight/obesity. SB time was replaced with equal amount of walking/bicycling or leisure-time moderate-to-vigorous PA (MVPA).

Methods

Data of the 18344 adults, who were overweight and obesity was obtained from the National Health and Nutrition Examination Survey 2006-2018. PA of participants was measured by the Global Physical Activity Questionnaire. Depressive symptoms, including overall, somatic, and cognitive depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9). Isotemporal substitution model based on weighted multiple linear regression was used to assess the association of SB time substitution with PA on depressive symptoms.

Results

Independent model analysis showed that 30 min/day SB time was significantly associated with higher PHQ-9 depressive symptoms, while engage in walking/bicycling or leisure-time MVPA for 30 min/day was associated with lower depressive symptoms. Isotemporal substitution analyses revealed that replacing 30 min/day SB time with equal amount of walking/bicycling or leisure-time MVPA was associated with significant lower PHQ-9 total scores (walking/bicycling: β = -0.088, 95%CI = -0.129, -0.047, P < 0.01; MVPA: β = -0.160, 95%CI = -0.185, -0.134, P < 0.01). Moreover, cognitive depressive symptoms (walking/bicycling: β = -0.035, 95%CI = -0.058, -0.013, P < 0.01; MVPA: β = -0.074, 95%CI = -0.088, -0.060, P < 0.01), and somatic depressive symptoms (walking/bicycling: β = -0.053, 95%CI = -0.075, -0.030, P < 0.01; MVPA: β = -0.085, 95%CI = -0.100, -0.071, P < 0.01) were also significantly lower after replacing SB time with either walking/bicycling or MVPA. However, replacing 30 min/day PA with SB time represented with higher depressive symptoms.

Conclusions

Replacing SB time with walking/bicycling or MVPA is beneficial in lowering the depressive symptoms among overweight/obese adults. Owing to the benefits of PA on depression, strategies promoting PA participation, are necessary for better social/mental well-being and healthy society.

Childhood obesity's effect on cognition and brain connectivity worsens with low family income

Childhood obesity and its adverse health consequences have risen worldwide, with low socioeconomic status increasing the risk in high-income countries like the United States. Understanding the interplay between childhood obesity, cognition, socioeconomic factors, and the brain is crucial for prevention and treatment. Using data from the Adolescent Brain Cognitive Development (ABCD) study, we investigated how body mass index (BMI) relates to brain structural and functional connectivity metrics. Children with obesity or who are overweight (n = 2,356) were more likely to live in poverty and exhibited lower cognitive performance compared with children with a healthy weight (n = 4,754). Higher BMI was associated with multiple brain measures that were strongest for lower longitudinal diffusivity in corpus callosum; increased activity in cerebellum, insula, and somatomotor cortex; and decreased functional connectivity in multimodal brain areas, with effects more pronounced among children from low-income families. Notably, nearly 80% of the association of low income and 70% of the association of impaired cognition on BMI were mediated by higher brain activity in somatomotor areas. Increased resting activity in somatomotor areas and decreased structural and functional connectivity likely contribute to the higher risk of being overweight or having obesity among children from low-income families. Supporting low-income families and implementing educational interventions to improve cognition may promote healthy brain function and reduce the risk of obesity.

Early childhood executive control modulates negative affectivity's role in increasing adolescent body mass index trajectories

BACKGROUND

Executive control and temperament have been associated with pediatric obesity. However, interactions between these constructs in relation to future weight outcomes have not been investigated.

OBJECTIVE

This longitudinal study examined early childhood executive control, early temperament (negative affectivity and surgency), and their interactions as predictors of adolescent BMI trajectories.

METHODS

At age 5.25, children (N = 229) completed executive control tasks, and parents completed the Child Behavior Questionnaire to assess temperament. BMI was calculated annually between ages 14-17.

RESULTS

Greater early negative affectivity predicted more positive BMI growth. Although early childhood executive control was not associated with BMI growth, greater negative affectivity predicted greater BMI escalation at average and below average executive control abilities.

CONCLUSIONS

For children without robust executive control abilities early in development, negative affectivity may be a risk factor for accelerated adolescent BMI growth. Targeted assessment of early risk factors may be useful for childhood obesity prevention efforts.

Urban environment during pregnancy and childhood and white matter microstructure in preadolescence in two European birth cohorts

Growing evidence suggests that urban environment may influence cognition and behavior in children, but the underlying pollutant and neurobiological mechanisms are unclear. We evaluated the association of built environment and urban natural space indicators during pregnancy and childhood with brain white matter microstructure in preadolescents, and examined the potential mediating role of air pollution and road-traffic noise. We used data of the Generation R Study, a population-based birth cohort in Rotterdam, the Netherlands (n = 2725; 2002-2006) for the primary analyses. Replication of the main findings was attempted on an independent neuroimaging dataset from the PELAGIE birth cohort, France (n = 95; 2002-2006). We assessed exposures to 12 built environment and 4 urban natural spaces indicators from conception up to 9 years of age. We computed 2 white matter microstructure outcomes (i.e., average of fractional anisotropy (FA) and mean diffusivity (MD) from 12 white matte tracts) from diffusion tensor imaging data. Greater distance to the nearest major green space during pregnancy was associated with higher whole-brain FA (0.001 (95%CI 0.000; 0.002) per 7 m increase), and higher land use diversity during childhood was associated with lower whole-brain MD (-0.001 (95%CI -0.002; -0.000) per 0.12-point increase), with no evidence of mediation by air pollution nor road-traffic noise. Higher percentage of transport and lower surrounding greenness during pregnancy were associated with lower whole-brain FA, and road-traffic noise mediated 19% and 52% of these associations, respectively. We found estimates in the same direction in the PELAGIE cohort, although confidence intervals were larger and included the null. This study suggests an association between urban environment and white matter microstructure, mainly through road-traffic noise, indicating that greater access to green space nearby might promote white matter development.

Struggling Can Also Show on the Inside: Current Knowledge of the Impact of Childhood Maltreatment on Biomarkers in Mood Disorders

The link between childhood maltreatment and mood disorders is complex and involves multiple bio-psycho-social factors that affect multiple molecular pathways. The present narrative review aims to clarify the current understanding of the impact of childhood maltreatment on biomarkers in patients with mood disorders and their first-degree relatives. Neurotransmitters, such as serotonin, dopamine, norepinephrine, and hormones (eg the stress hormone cortisol), play a crucial role in regulating mood and emotion. Childhood maltreatment can alter and affect the levels and functioning of these neurotransmitters in the brain; further, childhood maltreatment can lead to structural and connectivity changes in the brain, hence contributing to the development of mood disorders and moderating illness presentation and modifying response to treatments. Childhood maltreatment information, therefore, appears mandatory in treatment planning and is a critical factor in therapeutic algorithms. Further research is needed to fully understand these pathways and develop new treatment modalities for individuals with mood disorders who have experienced childhood maltreatment and effective preventive interventions for individuals at risk of developing mood disorders.

Socioeconomic Disparities in Hypothalamic-Pituitary-Adrenal Axis Regulation and Prefrontal Cortical Structure

Socioeconomic disadvantage during childhood predicts an increased risk for mental health problems across the life span. Socioeconomic disadvantage shapes multiple aspects of children's proximal environments and increases exposure to chronic stressors. Drawing from multiple literatures, we propose that childhood socioeconomic disadvantage may lead to adaptive changes in the regulation of stress response systems including the hypothalamic-pituitary-adrenal (HPA) axis. These changes, in turn, affect the development of prefrontal cortical (PFC) circuitry responsible for top-down control over cognitive and emotional processes. Translational findings indicate that chronic stress reduces dendritic complexity and spine density in the medial PFC and anterior cingulate cortex, in part through altered HPA axis regulation. Socioeconomic disadvantage has frequently been associated with reduced gray matter in the dorsolateral and ventrolateral PFC and anterior cingulate cortex and lower fractional anisotropy in the superior longitudinal fasciculus, cingulum bundle, and uncinate fasciculus during middle childhood and adolescence. Evidence of socioeconomic disparities in hair cortisol concentrations in children has accumulated, although null findings have been reported. Coupled with links between cortisol levels and reduced gray matter in the PFC and anterior cingulate cortex, these results support mechanistic roles for the HPA axis and these PFC circuits. Future longitudinal studies should simultaneously consider multiple dimensions of proximal factors, including cognitive stimulation, while focusing on epigenetic processes and genetic moderators to elucidate how socioeconomic context may influence the HPA axis and PFC circuitry involved in cognitive and emotional control. These findings, which point to modifiable factors, can be harnessed to inform policy and more effective prevention strategies.