Environmental influences on the pace of brain development

The effect of maternal risk factors during pregnancy on children's motor development at 5-6 years

BACKGROUND AND AIMS

Maternal diet and health may influence a child's later neurodevelopment. We investigated the effect of maternal diet, adiposity, gestational diabetes mellitus (GDM), and depressive/anxiety symptoms during pregnancy on the child's motor outcome at 5-6 years.

METHODS

The motor performance of 159 children of women with overweight or obesity (pre-pregnancy body mass index 25-29.9 kg/m2 and ≥30 kg/m2, respectively) was assessed by the Movement Assessment Battery for Children - Second Edition (Movement ABC-2, total scores and subscales of manual dexterity, aiming and catching, balance) at 5-6 years. Higher percentiles denoted better motor performance with ≤15th percentiles for total scores being used as a cut-off for developmental coordination disorder (DCD). Diet (dietary patterns from three-day food diaries and fish consumption from a frequency questionnaire), adiposity (air displacement plethysmography), depression and anxiety symptoms (Edinburgh Postnatal Depression scale and the SCL-90/anxiety subscale, respectively) were assessed in early and late pregnancy. GDM was diagnosed with an oral glucose tolerance test at early or mid-pregnancy. Logistic and general regression models were used to analyse the associations.

RESULTS

The mean percentiles for total scores of the Movement ABC-2 were 47.5 (SD 28.3), and 14.3 % of the children had DCD. A healthier maternal dietary pattern in early pregnancy associated with better motor performance in the child at 5-6 years (adj.mean difference = 9.80, 95%CI = 0.66-19.0). Higher maternal body fat mass both in early and late pregnancy (adj.OR = 1.07, 95%CI = 1.01-1.13, and adj.OR = 1.08, 95%CI = 1.02-1.14) and fat percentage in late pregnancy (adj.OR = 1.12, 95%CI = 1.09-1.24) were associated with higher odds for DCD. Increasing maternal depressive symptoms were associated with lower odds for impaired aiming/catching (early/late pregnancy adj.OR = 0.78, 95%CI = 0.65-0.93, adj.OR = 0.82, 95%CI = 0.70-0.96). GDM was not associated with the motor performance.

CONCLUSIONS

A healthier dietary pattern during pregnancy favoured children's motor development, while it was compromised by higher maternal adiposity. Promoting an overall healthy diet throughout pregnancy might support the motor development in children born to mothers with overweight or obesity. Our findings indicating that maternal depressive symptoms during pregnancy might associate with better motor performance in the child will require further research for confirmation.

CLINICALTRIALS

GOV IDENTIFIER

NCT01922791.

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.

Maternal depressive symptoms in childhood and offspring brain cortical and subcortical volumetric change: A repeated imaging study from age 4-10 years

Maternal depressive symptoms have been associated with offspring's brain structural differences. However, previous studies were limited by cross-sectional designs, brain region-of-interest analyses, or clinical samples. Importantly, few studies assessed the early childhood brain. This study analyzed data from a Singaporean cohort of 217 children with 589 repeated structural neuroimaging from 4.5 to 10.5 years (2-4 assessments) in relation to maternal depressive symptoms. Maternal depressive symptoms were measured by questionnaire at child age 4.5 years. Mixed models explored within-sample change accounting for non-linear brain development. Multiple testing was corrected, and a stringent threshold was applied. Maternal depressive symptoms were associated with persistently smaller precentral gyral volume over time (β = -0.162 [-0.238; -0.086], padj < 0.001). In analysis with time interaction, maternal symptoms were associated with curvilinear changes in the volumes of supramarginal (β = -0.019 [-0.027; -0.010], padj < 0.001) and precuneus gyrus (β = -0.016 [-0.025; -0.007], padj = 0.007); this suggests delayed volumetric development in brain areas governing attention, memory, and language among children exposed to severe maternal symptoms. The findings implicate that childhood maternal depressive symptoms are associated with persistent differences in precentral volume and affect the brain volumetric development of complex sensory information processing regions, rather than in emotion regulation areas implicated in the depression experience. Our findings emphasize repeated childhood imaging to understand child brain development risk factors.

Skin-to-skin holding in relation to white matter connectivity in infants born preterm

Background and Objectives

Preterm birth is associated with altered white matter development and long-term neurodevelopmental impairments. Skin-to-skin care (kangaroo care) has well-documented benefits for physiological stability and bonding, but its association with neonatal brain structure remains unclear. This study explored the association between in-hospital skin-to-skin care and neonatal white matter microstructure in frontal and limbic pathways that are linked to stress regulation and socio-emotional development, processes potentially influenced by affective touch during skin-to-skin care.

Methods

This retrospective study analyzed electronic medical records and diffusion MRI data collected from 86 preterm infants (<32 weeks gestational age) in a single NICU. Skin-to-skin care exposure was quantified as total duration (minutes/instance) and rate (minutes/day) of sessions. Diffusion MRI scans obtained before hospital discharge assessed mean diffusivity (MD) and fractional anisotropy (FA) in the cingulate, anterior thalamic radiations (ATR), and uncinate fasciculus. Hierarchical regression models examined associations between skin-to-skin care and white matter microstructure, adjusting for gestational age, health acuity, postmenstrual age at scan, and MRI coil type. Sensitivity analyses controlled for socioeconomic status and NICU visitation frequency.

Results

Skin-to-skin care duration was positively associated with MD in the cingulate (B = 0.002, p = 0.016) and ATR (B = 0.002, p = 0.020). Skin-to-skin care rate was also positively linked to MD in the ATR (B = 0.040, p = 0.041). Skin-to-skin care duration and rate were not associated with FA in the cingulate but skin-to-skin duration and rate were negatively associated with FA in the ATR (duration: B =-0.001, p = 0.020; rate: B =-0.017, p = 0.008). No significant associations were found for the uncinate fasciculus. Findings remained robust after adjusting for socioeconomic status and visitation frequency.

Discussion

This study provides novel evidence linking in-hospital experiences of skin-to-skin care to neonatal white matter development. These findings have important implications for understanding how family-centered neuroprotective practices, such as skin-to-skin care, may affect brain development to improve long-term developmental outcomes.

Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes

Adolescence is a period of growth in cognitive performance and functioning. Recently, data-driven measures of brain-age gap, which can index cognitive decline in older populations, have been utilized in adolescent data with mixed findings. Instead of using a data-driven approach, here we assess the maturation status of the brain functional landscape in early adolescence by directly comparing an individual's resting-state functional connectivity (rsFC) to the canonical early-life and adulthood communities. Specifically, we hypothesized that the degree to which a youth's connectome is better captured by adult networks compared to infant/toddler networks is predictive of their cognitive development. To test this hypothesis across individuals and longitudinally, we utilized the Adolescent Brain Cognitive Development (ABCD) Study at baseline (9-10 years; n = 6469) and 2-year-follow-up (Y2: 11-12 years; n = 5060). Adjusted for demographic factors, our anchored rsFC score (AFC) was associated with better task performance both across and within participants. AFC was related to age and aging across youth, and change in AFC statistically mediated the age-related change in task performance. In conclusion, we showed that a model-fitting-free index of the brain at rest that is anchored to both adult and baby connectivity landscapes predicts cognitive performance and development in youth.

Gestational age at birth and cognitive outcomes in term-born children: Evidence from Chinese and British cohorts

INTRODUCTION

Older gestational age (GA) has been associated with more favourable cognitive outcomes in preterm children. Recent evidence suggests this may also apply to term-born children. This study aims to examine the association between GA and early neurodevelopmental outcomes in children born at term in China and the UK.

METHODS

Participants were term-born children from two cohorts, the Sichuan Multi-stratified Infants and Early Life (SMILE) study in China and the Developing Human Connectome Project (dHCP) in the UK. Early cognitive outcomes were assessed at 6 months in the SMILE study, and at 18 months in the dHCP. Linear regression models were conducted to examine the association between GA at birth and early cognitive outcomes in each cohort separately.

RESULTS

A sample of 1245 participants from the SMILE study and 406 participants for the dHCP were included in the analysis. In the SMILE study, longer GA was associated with better mental developmental (B = 2.47 [1.60, 3.34], P < .001) and psychomotor outcomes (B = 2.91 [2.01, 3.82], P < .001), after controlling for sex, parental education, family yearly income, maternal age, maternal depressive symptoms, and birth weight; in the dHCP, longer GA was associated with better cognitive (B = 1.35 [0.33, 2.37], P = .010) and motor outcomes (B = 1.49 [0.59, 2.39], P = .001), after controlling for sex, relative social deprivation, maternal depressive symptoms and birth weight.

CONCLUSIONS

Older GA in term-born toddlers is associated with more favourable developmental outcomes across different cultural contexts.

Developmental timing of adversity and neural network organization: An fNIRS study of the impact of refugee displacement

This study investigated the neurodevelopmental impacts of displacement on resettled Syrian refugee children in Canada, focusing on how the timing and duration of adversity experienced during displacement influence neural network organization. Using graph theoretical approaches within a network neuroscience framework, we examined how the developmental timing of displacement (age of displacement, duration of displacement) related to functional integration, segregation, and small-worldness. Syrian refugee children (n = 61, MAge=14 Range = 8-18), completed a resting state scan using functional Near Infrared Spectroscopy (fNIRS) neuroimaging. Data were analyzed to assess the link between neural network properties and developmental timing of adversity. Results indicate that prolonged displacement experienced earlier in life was significantly linked with neural network organization, impacting the balance between the brain's functional integration and segregation as quantified by the overall reduced small worldness in comparison to experiencing displacement at an older age. This study leverages the experiences of refugee children to advance our understanding of how the timing of adversity affects development, providing valuable insights into the broader impacts of early adversity on neurodevelopment.

Diverse weaning foods and diet patterns at multiple time points during infancy period and their association with neurodevelopmental outcomes in 6-year-old children

BACKGROUND/OBJECTIVES

Understanding the impact of early-life nutritional choices on neurodevelopment in children is a growing area of research. To investigate the association between dietary patterns at multiple timelines and neurodevelopmental outcomes in 6-year-old children.

SUBJECTS/METHODS

This administrative observational study utilized a merged data from the national health insurance database and the health screening program for children. Information on the diet patterns from infancy to 3 years of age was obtained from parent-administered questionnaires. Dietary pattern clusters of the participants were identified using Polytomous Latent Class Analysis. The outcome was neurodevelopment using the Korean Developmental Screening Test (K-DST) at the age of 6 years.

RESULTS

The study identified four distinct clusters among with the 133,243 eligible children (49.6% male, birth weight 3.22 kg, head circumference 42.7 cm at 4 months). The control cluster (53.4%) exhibited a diet including breast milk feeding and a variety of dietary patterns at the age of 1 year. In contrast, cluster 1 (36.0%) showed a skewed dietary pattern at the same age. Cluster 2 (6.6%) displayed diverse dietary patterns at one year but primarily consumed formula at four months, while cluster 3 (4.0%) had reduced dietary diversity and formula feeding. Compared with the control cluster, the adjusted odds ratio for unfavorable development was 1.209 (95% CI, 1.156-1.266) in cluster 1, 1.418 (95% CI, 1.312-1.532) in cluster 2, and 1.741 (95% CI, 1.593-1.903) in cluster 3. These findings remained consistent across individual domains of the K-DST.

CONCLUSIONS

Dietary patterns during infancy and early childhood may be associated with neurodevelopment at the age of 6 years.

Multifactorial influences on childhood insomnia: Genetic, socioeconomic, brain development and psychopathology insights

Insomnia is the most prevalent sleep disturbance during childhood and can result in extensively detrimental effects. Children's insomnia involves a complex interplay of biological, neurodevelopmental, social-environmental, and behavioral variables, yet remains insufficiently addressed. This study aimed to investigate the multifactorial etiology of childhood insomnia from its genetic architecture and social-environmental variables to its neural instantiation and the relationship to mental health. This cohort study uses 4340 participants at baseline and 2717 participants at 2-year follow-up from the Adolescent Brain Cognitive Development (ABCD) Study. We assessed the joint effects of polygenic risk score (PRS) and socioeconomic status (SES) on insomnia symptoms and then investigated the underlying neurodevelopmental mechanisms. Structural equation model (SEM) was applied to investigate the directional relationships among these variables. SES and PRS affected children's insomnia symptoms independently and additively (SES: β = -0.089, P = 1.91 × 10-8; PRS: β = 0.041, P = 0.008), which was further indirectly mediated by the deviation of inferior precentral sulcus (β = 0.0027, P = 0.0071). SEM revealed that insomnia (β = 0.457, P < 0.001) and precentral development (β = -0.039, P = 0.009) significantly mediated the effect of SES_PRS (accumulated risks of PRS and SES) on psychopathology symptoms. Furthermore, baseline insomnia symptoms, SES_PRS, and precentral deviation significantly predicted individual total psychopathology syndromes (r = 0.346, P < 0.001). These findings suggest the additive effects of genetic and socioenvironmental factors on childhood insomnia via precentral development and highlight potential targets in early detection and intervention for childhood insomnia.

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.

Childhood air pollution exposure is related to cognitive, educational and mental health outcomes in childhood and adolescence: A longitudinal birth cohort study

BACKGROUND

A growing body of evidence supports an association between air pollution exposure and adverse mental health outcomes, especially in adulthood however, very little is known about the effects of early life air pollution exposure during childhood. We examined longitudinal associations between the extent and timing of children's annual air pollution exposure from conception to age 10 years and a wide range of cognitive, educational and mental health outcomes in childhood and adolescence that were assessed prospectively as part of a large birth cohort study.

METHODS

We linked historical air pollution data (μg.m-3) from pregnancy to age 10 years (1976-1987) using the addresses of all cohort members (n = 1265) of the Christchurch Health and Development Study (CHDS) who were born in New Zealand in mid-1977. Latent Class Growth Mixture Models were used to characterise different trajectories of air pollution exposure from the prenatal period to age 10 years. We then examined associations between these air pollution exposure trajectories and 16 outcomes in childhood and adolescence using R Studio and Stata V18.

FINDINGS

Four air pollution exposure trajectories were identified: i) low, ii) persistently high, iii) high prenatal and postnatal, and iv) elevated pre-school exposure. While some associations were attenuated, after adjusting for a variety of covariates spanning childhood, family sociodemographic background and family functioning characteristics, several associations remained. Relative to the lowest exposure trajectory, persistently high and high prenatal and postnatal exposure were both related to attentional problems. High prenatal and postnatal was also related to higher risk of substance abuse. Elevated pre-school exposure was associated with conduct problems, lower educational attainment and substance abuse and persistently high childhood exposure increased risk of substance abuse.

CONCLUSIONS

Our study highlights potential adverse and longer-term impacts of air pollution exposure during childhood on subsequent development in later life.

Brain local structural connectomes and the subtypes of the medial temporal lobe parcellations

Objective

To investigate the quantitative characteristics and major subtypes of local structural connectomes for medial temporal lobe (MTL) parcellations.

Methods

The Q-Space Diffeomorphic Reconstruction (QSDR) method was used to track white matter fibers for the ROIs within MTL based on the integrating high-resolution T1 structural MR imaging and diffusion MR imaging of 100 adult Chinese individuals. Graph theoretical analysis was employed to construct the local structural connectome models for ROIs within MTL and acquire the network parameters. These connectivity matrices of these connectomes were classified into major subtypes undergoing hierarchical clustering.

Results

(1) In the local brain connectomes, the overall network features exhibited a low characteristic path length paired with moderate to high global efficiency, suggesting the effectiveness of the local brain connectome construction. The amygdala connectomes exhibited longer characteristic path length and weaker global efficiency than the ipsilateral hippocampus and parahippocampal connectomes. (2) The hubs of the amygdala connectomes were dispersed across the ventral frontal, olfactory area, limbic, parietal regions and subcortical nuclei, and the hubs the hippocampal connectomes were mainly situated within the limbic, parietal, and subcortical regions. The hubs distribution of the parahippocampal connectomes resembled the hippocampal structural connectomes, but lacking interhemispheric connections and connectivity with subcortical nuclei. (3) The subtypes of the brain local structural connectomes for each ROI were classified by hierarchical clustering, The subtypes of the bilateral amygdala connectomes were the amygdala-prefrontal connectome; the amygdala-ipsilateral or contralateral limbic connectome and the amygdala-posterior connectome. The subtypes of the bilateral hippocampal connectomes primarily included the hippocampus-ipsilateral or contralateral limbic connectome and the anterior temporal-hippocampus-ventral temporal-occipital connectome in the domain hemisphere. The subtypes of the parahippocampal connectomes exhibited resemblances to those of the hippocampus.

Conclusion

We have constructed the brain local connectomes of the MTL parcellations and acquired the network parameters to delineate the hubs distribution through graph theory analysis. The connectomes can be classified into different major subtypes, which were closely related to the functional connectivity.

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.

The ecology of poverty and children's brain development: A systematic review and quantitative meta-analysis of brain imaging studies

A growing number of studies have demonstrated associations between poverty and brain structure and function. However, the strength of this association and the effects of poverty level (e.g., family or neighborhood poverty), age and sex on the association are strikingly inconsistent across studies. We aimed to synthesize findings on gray matter volume and task-based brain activation associated with poverty in youth samples and disentangle the effects of poverty level, age, and sex. In general, poverty was associated with alterations in volume and activation in the frontal, temporal, and subcortical regions. Among 14,188 participants and 14,057 participants, poverty was associated with smaller gray matter volumes in the amygdala and hippocampus, respectively. Moderator testing revealed that family poverty had a stronger association than neighborhood poverty and that poverty was related to slower development of amygdala volume. Among 2696 participants, convergent functional alterations associated with poverty were observed in the left middle temporal gyrus (MTG) and left middle frontal gyrus across all task domains, with the percentage of girls positively associated with increased activation in the precuneus. Subgroup analyses revealed that greater poverty was associated with deactivation in the left MTG for top-down control and hyperactivity in the right superior temporal gyrus, left superior frontal gyrus, left insula, cerebellum/left fusiform gyrus, and left amygdala/hippocampus for bottom-up processing. These findings provide insights into the neuroscience of poverty, suggesting implications for targeted interventions to support the cognitive and mental health of children living in poverty.

Functional Brain Connectivity Predictors of Prospective Substance Use Initiation and Their Environmental Correlates

BACKGROUND

Early substance use initiation (SUI) places youth at substantially higher risk for later substance use disorders. Furthermore, adolescence is a critical period for the maturation of brain networks, the pace and magnitude of which are susceptible to environmental influences and may shape risk for SUI.

METHODS

We examined whether patterns of functional brain connectivity during rest (rsFC), measured longitudinally during pre- and early adolescence, can predict future SUI. Next, in an independent subsample, we tested whether these patterns were associated with earlier environmental exposures, specifically neighborhood pollution and socioeconomic dimensions. We utilized data from the ABCD (Adolescent Brain Cognitive Development) Study. SUI was defined as first-time use of at least 1 full dose of alcohol, nicotine, cannabis, or other drugs. We created a control group (n = 228) of participants without SUI who were matched to the SUI group (n = 233) on age, sex, race/ethnicity, household income, and parental education.

RESULTS

Multivariate analysis showed that whole-brain rsFC from 9-10 to 11-12 years of age (prior to SUI) prospectively differentiated the SUI and control groups. The SUI-related rsFC pattern was also related to aging in both groups, suggesting a pattern of accelerated maturation in the years prior to SUI. This same pattern of rsFC was predicted by higher pollution but not neighborhood disadvantage (adjusted for family socioeconomic factors) in an independent subsample (n = 2854).

CONCLUSIONS

Brain functional connectivity patterns in early adolescence that are linked to accelerated maturation can predict SUI in youth and are associated with exposure to pollution.

Investigating cross-sectional and longitudinal relationships between brain structure and distinct dimensions of externalizing psychopathology in the ABCD sample

Externalizing psychopathology in childhood is a predictor of poor outcomes across the lifespan. Children exhibiting elevated externalizing symptoms also commonly show emotion dysregulation and callous-unemotional (CU) traits. Examining cross-sectional and longitudinal neural correlates across dimensions linked to externalizing psychopathology during childhood may clarify shared or distinct neurobiological vulnerability for psychopathological impairment later in life. We used tabulated brain structure and behavioural data from baseline, year 1, and year 2 timepoints of the Adolescent Brain Cognitive Development Study (ABCD; baseline n = 10,534). We fit separate linear mixed effect models to examine whether baseline brain structures in frontolimbic and striatal regions (cortical thickness or subcortical volume) were associated with externalizing symptoms, emotion dysregulation, and/or CU traits at baseline and over a two-year period. The most robust relationships found at the cross-sectional level was between cortical thickness in the right rostral middle frontal gyrus and bilateral pars orbitalis was positively associated with CU traits (β = |0.027-0.033|, pcorrected = 0.009-0.03). Over the two-year follow-up period, higher baseline cortical thickness in the left pars triangularis and rostral middle frontal gyrus predicted greater decreases in externalizing symptoms ((F = 6.33-6.94, pcorrected = 0.014). The results of the current study suggest that unique regions within frontolimbic and striatal networks may be more strongly associated with different dimensions of externalizing psychopathology. The longitudinal findings indicate that brain structure in early childhood may provide insight into structural features that influence behaviour over time.

Considering the interconnected nature of social identities in neuroimaging research

Considerable heterogeneity exists in the expression of complex human behaviors across the cognitive, personality and mental health domains. It is increasingly evident that individual variability in behavioral expression is substantially affected by sociodemographic factors that often interact with life experiences. Here, we formally address the urgent need to incorporate intersectional identities in neuroimaging studies of behavior, with a focus on research in mental health. We highlight how diverse sociodemographic factors influence the study of psychiatric conditions, focusing on how interactions between those factors might contribute to brain biology and illness expression, including prevalence, symptom burden, help seeking, treatment response and tolerance, and relapse and remission. We conclude with a discussion of the considerations and actionable items related to participant recruitment, data acquisition and data analysis to facilitate the inclusion and incorporation of diverse intersectional identities in neuroimaging.

Childhood family environment and μ-opioid receptor availability in vivo in adulthood

Animal studies have reported associations of early maternal separation with altered μ-opioid receptor function but data on humans are scarce. We now investigated whether childhood family environment is related to μ-opioid receptor availability in the human brain in adulthood. Healthy participants (n = 37-39 in the analyses) were recruited from the prospective population-based Young Finns Study (YFS) that started in 1980. Childhood family environment was evaluated in 1980, including scores for stress-prone life events, disadvantageous emotional family atmosphere, and adverse socioeconomic environment. We used positron emission tomography (PET) with radioligand [11C]carfentanil to measure μ-opioid receptor availability in adulthood. Age- and sex-adjusted analyses showed that exposure to stress-prone life events in childhood was related to lower μ-opioid receptor binding in the orbitofrontal cortex, hippocampus, putamen, amygdala, insula, thalamus, anterior cingulate cortex, and dorsal caudate in adulthood (when compared to participants not exposed to stress-prone life events). Unfavorable socioeconomic family environment or disadvantageous emotional family atmosphere was not associated with μ-opioid receptor availability in adulthood. In conclusion, exposure to environmental instability (i.e., to stress-prone life events below traumatic threshold) during early development is associated with dysregulation of the u-opioid receptor transmission in adulthood. The findings increase understanding of the neurobiological mechanisms involved in the associations between childhood adversities and adulthood mental disorders.

Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia

BACKGROUND

Intermediate phenotypes, such as characteristic neuroimaging patterns, offer unique insights into the genetic and stress-related underpinnings of neuropsychiatric disorders like depression. This study aimed to identify neuroimaging intermediate phenotypes associated with depression, bridging etiological factors to behavioral manifestations and connecting insights from animal models to diverse clinical populations.

METHODS

We analyzed datasets from both rodents and humans. The rodent studies included a genetic model (P11 knockout) and an environmental stress model (chronic unpredictable mild stress), while the human data comprised 748 participants from three cohorts. Using the amplitude of low-frequency fluctuations, we identified neuroimaging patterns in rodent models. We then applied a machine-learning approach to cluster neuroimaging subtypes of depression. To assess the genetic predispositions and stress-related changes associated with these subtypes, we analyzed genotype and metabolite data. Linear regression was employed to determine which neuroimaging features predicted core depression symptoms across species.

RESULTS

The genetic and environmental stress models exhibited distinct neuroimaging patterns in subcortical and sensorimotor regions. Consistent patterns emerged in two neuroimaging subtypes identified across three independent depressed cohorts. The subtype resembling P11 knockout demonstrated higher genetic susceptibility, with enriched expression of risk genes in brain tissues and abnormal metabolites linked to tryptophan metabolism. In contrast, the stress animal-like subtype did not show changes in genetic risk scores but exhibited enriched risk gene expression in somatic and endocrine tissues, along with mitochondrial dysfunction in the antioxidant stress system. Notably, these distinct subcortical-sensorimotor neuroimaging patterns predicted anhedonia, a core symptom of depression, in both rodent models and depressed subtypes.

CONCLUSIONS

This cross-species validation suggests that these neuroimaging patterns may serve as robust intermediate phenotypes, linking etiology to anhedonia and facilitating the translation of findings from animal models to humans with depression and other psychiatric disorders.

Separate and joint associations of adverse childhood experiences and childhood socioeconomic status with depressive symptoms: The mediating role of unhealthy lifestyle factors

BACKGROUND

The associations between adverse childhood experiences (ACEs), childhood socioeconomic status (SES), and depressive symptoms (DS) remain unclear. This study aimed to assess the separate and joint associations of ACEs and childhood SES with DS and explore the potential mediating role of lifestyles.

METHODS

Data were obtained from the China Health and Retirement Longitudinal Study, which included 6879 participants. Cox proportional hazard models were used to evaluate the associations of ACEs and childhood SES with DS. Additive and multiplicative interactions between ACEs and childhood SES on DS were also examined. Causal mediation analyses were then conducted to quantify the mediating role of lifestyle factors in these associations.

RESULTS

During a median follow-up of 3.0 years, 1283 (18.7 %) participants were identified with DS. ACEs and low childhood SES were significantly associated with an increased risk of DS (ACEs [3 or more vs 0]: HR = 1.68, 95 % CI: 1.43-1.99; childhood SES [low vs high]: HR = 1.48, 95 % CI: 1.22-1.79). Compared to the no ACEs-moderate/high childhood SES group, the group with 1 or more ACEs-low childhood SES had the highest risk of DS (HR = 1.76, 95 % CI: 1.47-2.10). Significant additive interaction of ACEs with low childhood SES on DS was observed with relative excess risk due to an interaction of 1.21 (95 % CI: 0.27, 2.15). Sleep duration and smoking were identified as the potentially modifiable mediators.

CONCLUSIONS

The findings highlight the importance of promoting initiatives to address ACEs, low childhood SES, and unhealthy lifestyles as part of DS prevention strategies.

Impact of COVID-19 School Closures on White Matter Plasticity in the Reading Network

During the COVID-19 pandemic, children worldwide experienced school closures. Several studies have detected a negative impact on reading-related skills in children who experienced these closures during the early stages of reading instruction, but the impact on the reading network in the brain has not been investigated. In the current longitudinal study in a sample of 162 Dutch-speaking children, we found a short-term effect in the growth of phonological awareness in children with COVID-19 school closures compared to children without school closures, but no long-term effects one year later. Similarly, we did not find a long-term effect on the longitudinal development of white matter connectivity in tracts implicated during early reading development. Together, these findings indicate that one year after school closures no effects on the development of phonological awareness and white matter are found, yet it remains an open question whether short-term effects on the reading network could have been present and/or whether other networks (e.g., psychosocial related networks) are potentially more affected.

From Homeostasis to Neuroinflammation: Insights into Cellular and Molecular Interactions and Network Dynamics

Neuroinflammation is a complex and multifaceted process that involves dynamic interactions among various cellular and molecular components. This sophisticated interplay supports both environmental adaptability and system resilience in the central nervous system (CNS) but may be disrupted during neuroinflammation. In this article, we first characterize the key players in neuroimmune interactions, including microglia, astrocytes, neurons, immune cells, and essential signaling molecules such as cytokines, neurotransmitters, extracellular matrix (ECM) components, and neurotrophic factors. Under homeostatic conditions, these elements promote cellular cooperation and stability, whereas in neuroinflammatory states, they drive adaptive responses that may become pathological if dysregulated. We examine how neuroimmune interactions, mediated through these cellular actors and signaling pathways, create complex networks that regulate CNS functionality and respond to injury or inflammation. To further elucidate these dynamics, we provide insights using a multilayer network (MLN) approach, highlighting the interconnected nature of neuroimmune interactions under both inflammatory and homeostatic conditions. This perspective aims to enhance our understanding of neuroimmune communication and the mechanisms underlying shifts from homeostasis to neuroinflammation. Applying an MLN approach offers a more integrative view of CNS resilience and adaptability, helping to clarify inflammatory processes and identify novel intervention points within the layered landscape of neuroinflammatory responses.

Associations between prenatal exposure to environmental phenols and child neurodevelopment at two years of age in a South African birth cohort

OBJECTIVE

Evidence suggests that prenatal environmental phenol exposures negatively impact child neurodevelopment, however there is little research on the effects of mixtures of multiple phenol exposures. We analyzed associations between prenatal exposure to phenol mixtures and cognitive neurodevelopment at two years of age among 545 mother-child pairs from the South African Drakenstein Child Health Study.

MATERIAL AND METHODS

We measured maternal urine environmental phenol concentrations once during the second trimester of pregnancy. We used the Bayley Scales of Infant and Toddler Development III to assess cognitive development at two years of age. We used linear regression models adjusted for maternal HIV status, maternal age, ethnicity, prenatal tobacco exposure, child sex, and socioeconomic status (SES) to examine individual associations. We compared four mixture methods: self-organizing maps (SOM), Bayesian kernel machine regression (BKMR), quantile-based G-computation (qgcomp) and weighted quantile sum (WQS) regression to explore joint effects of the exposure mixture. We assessed effect modification by SES, sex, prenatal tobacco exposure, and ethnicity.

RESULTS

Across all methods, we found no association between individual phenol exposures or the joint exposure mixture with the cognitive score. Prenatal tobacco exposure modified the association between pentachlorophenol (PCP) and cognitive neurodevelopment (interaction p-value = 0.012), with higher PCP concentrations associated with lower cognitive scores among non-smokers (beta = - 2.17; 95% CI: -3.83, -0.51). Sex modified the association between bisphenol A (BPA) and cognitive neurodevelopment (interaction p-value = 0.021), with males having a significant adverse association (beta = -1.39; 95% CI: -2.54, -0.23). SES modified the association between bisphenol S (BPS) and cognitive neurodevelopment (interaction p-value = 0.003), with individuals of moderate-high SES having a significant adverse association (beta = -1.84; 95% CI: -3.26, 0.06) CONCLUSION: While we found no main effects of prenatal phenol exposure on cognitive neurodevelopment, the associations with PCP, BPA, and BPS were more pronounced among certain subgroups.

The Transition From Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research

Despite the advantage of neuroimaging-based machine learning (ML) models as pivotal tools for investigating brain-behavior relationships in neuropsychiatric studies, these data-driven predictive approaches have yet to yield substantial, clinically actionable insights for mental health care. A notable impediment lies in the inadequate accommodation of most ML research to the natural heterogeneity within large samples. Although commonly thought of as individual-level analyses, many ML algorithms are unimodal and homogeneous and thus incapable of capturing the potentially heterogeneous relationships between biology and psychopathology. We review the current landscape of computational research targeting population heterogeneity and argue that there is a need to expand from brain subtyping and behavioral phenotyping to analyses that focus on heterogeneity at the relational level. To this end, we review and suggest several existing ML models with the capacity to discern how external environmental and sociodemographic factors moderate the brain-behavior mapping function in a data-driven fashion. These heterogeneous ML models hold promise for enhancing the discovery of individualized brain-behavior associations and advancing precision psychiatry.

The impact of adverse childhood experiences on cognitive function among middle-aged and older Chinese adults: Multiple mediators of cognitive reserve and depressive symptoms

BACKGROUND

Adverse childhood experiences (ACEs) are associated with later cognitive decline. However, the mechanisms underlying the effects of different types of ACEs are unclear. This study examined how ACEs impact cognitive function, specifically deprivation-related ACEs (DrACEs) and threat-related ACEs (TrACEs). Additionally, we explored the potential role of cognitive reserve (CR) and depression in these relationships.

METHODS

Data were taken from the China Health and Retirement Longitudinal Study (CHARLS) of 2014 and 2020. CR, depressive symptoms and cognitive function measures were collected from 2020. ACEs were assessed at the 2014 Life Course Survey. The main analyses included 7113 participants aged 45 years or older. To explore potential associations, linear regression and SPSS Macro PROCESS were employed.

RESULTS

Among middle-aged and older adults, only exposure to DrACEs was associated with cognitive function ((β = -0.101 [95%CI: -0.150, -0.052]) for DrACEs = 1; (β = -0.250 [95%CI: -0.333, -0.167]) for DrACEs ≥ 2). The indirect effects mediated by CR and depressive symptoms were statistically significant.

LIMITATIONS

The use of retrospective self-reported data for ACEs may introduce recall bias.

CONCLUSIONS

Chinese middle-aged and older adults who have experienced DrACEs exhibit poorer cognitive function, while the association between TrACEs and cognitive function was not significant. And the impact of DrACEs on cognitive function was mediated by CR and depressive symptoms. Further research is necessary to validate our findings, establish causal links, and uncover the underlying mechanisms involved.

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.

Breastfeeding duration and brain-body development in 9-10-year-olds: modulating effect of socioeconomic levels

OBJECTIVE

To investigate relationships of breastfeeding duration with brain structure and adiposity markers in youth and how these relationships are modified by neighborhood socioeconomic environments (SEEs).

METHODS

This was a cross-sectional study of youth enrolled in the Adolescent Brain and Cognitive Development (ABCD) Study® (n = 7511). Mixed effects models examined associations of breastfeeding duration with global brain measures and adiposity markers, adjusting for sociodemographic, pre- and post-natal covariates. Stratified analysis was performed by area deprivation index (ADI) tertiles.

RESULTS

Total cortical surface area (SA) (False Discovery Rate - FDR corrected P < 0.001), cortical (FDR corrected P < 0.001) and subcortical gray matter (GM) volume (FDR corrected P < 0.001) increased with increased breastfeeding duration. Body mass index (BMI) z-scores (FDR corrected P = 0.001), waist circumference (FDR corrected P = 0.002) and waist-to-height ratio (WHtR) (FDR corrected P = 0.001) decreased with increased breastfeeding duration. Breastfeeding duration was inversely associated with adiposity in youth from high- and medium- ADI neighborhoods, but positively associated with SA across ADI tertiles.

CONCLUSIONS

In this cross-sectional study, longer breastfeeding duration was associated with lower adiposity indices, particularly in youth from lower SEEs and greater SA across SEE levels. Longer breastfeeding duration showed long-term associations with brain and body development for offspring.

IMPACT

Building on previous findings that longer breastfeeding duration is associated with healthier weight gain, lower obesity risk, and brain white matter development in infancy, our results find longer breastfeeding duration to be associated with lower adiposity indices and greater cortical and subcortical gray matter volume, and cortical surface area during peri-adolescence. Children from lower socioeconomic environments (SEEs) demonstrated stronger negative associations of breastfeeding duration and adiposity indices, and children across SEEs showed positive relationships between breastfeeding duration and cortical surface area. Promoting breastfeeding, particularly among women from lower SEEs would confer long-term benefits to offspring.

The role of the hippocampus in working memory and word reading: Novel neural correlates of reading among youth living in the context of economic disadvantage

A left-lateralized cortical reading circuit underlies successful reading and fails to engage in individuals with reading problems. Studies identifying this circuit included youth from economically advantaged backgrounds and focused on cortical, not subcortical, structures. However, among youth with low scores on reading tests who are living in the context of economic disadvantage, this brain network is actively engaged during reading, despite persistent reading problems. This finding suggests that other brain circuits may underlie reading in these youth. A hippocampal circuit is one likely candidate, as it has recently been shown to support domain-general processes like working memory (WM) that are also associated with reading. Given age-related increases in hippocampal volume, WM, and reading, and known associations between WM and reading, we hypothesized that hippocampal volume would be associated with reading via WM processes. Using a cross-sectional developmental design, we explored this in middle childhood (average age at MRI scan ∼10; N = 50) and adolescence (average age at MRI scan ∼17; N = 175). Results suggest that the hippocampus is a critical contributor to word reading in adolescents living in economically disadvantaged contexts, and that this operates through working memory processes. Such findings point to new targets for reading intervention in adolescents.

The emergence of visual category representations in infants' brains

Organizing the continuous stream of visual input into categories like places or faces is important for everyday function and social interactions. However, it is unknown when neural representations of these and other visual categories emerge. Here, we used steady-state evoked potential electroencephalography to measure cortical responses in infants at 3-4 months, 4-6 months, 6-8 months, and 12-15 months, when they viewed controlled, gray-level images of faces, limbs, corridors, characters, and cars. We found that distinct responses to these categories emerge at different ages. Reliable brain responses to faces emerge first, at 4-6 months, followed by limbs and places around 6-8 months. Between 6 and 15 months response patterns become more distinct, such that a classifier can decode what an infant is looking at from their brain responses. These findings have important implications for assessing typical and atypical cortical development as they not only suggest that category representations are learned, but also that representations of categories that may have innate substrates emerge at different times during infancy.

The Brain in Context: A Scoping Review and Concept Definition of Neuro-Informed Policy and Practice

BACKGROUND/OBJECTIVES

Among the developmental sciences, discovery in neuroscience has underpinned research innovations and made a significant contribution to knowledge translation. With the growth of neuroscience discovery, policymakers and practitioner workforces have adopted 'neuro-informed' in decisions targeting the delivery of human, social, and economic wellbeing.

METHODS

In this scoping review, we examined the use and conceptualization of neuro-informed policy and practice (NPP) over the last two decades. We aim to establish a working definition of NPP and identify the key knowledge bases underpinning the application of NPP, with a specific focus on children and young people.

RESULTS

A total of 116 publications related to NPP were identified across academic and policy sources. Publications derived from diverse fields (e.g., psychology, social policy, medicine, urban planning). Health and Education were the most common target areas for NPP; however, applications of NPP to social services, law, and physical environments were also identified. Despite the growth in NPP, concept definitions of NPP were limited and primarily tautological. A four-stage process of concept definition was used to develop a working definition of NPP applicable to different systems, workforces, and contexts. By applying content analysis, 12 distinct knowledge bases underpinning NPP were identified.

CONCLUSION

Our scoping review highlights the importance of defining the concept of neuro-informed policy and practice, extending beyond the brain or individual in isolation to include consideration of the brain in context.

Maternal knowledge of childhood developmental milestones in Ashanti Region, Ghana

Introduction

the ability of parents to recognize the age at which children attain developmental milestones helps in the early identification of delays and subsequent intervention to improve outcomes. However, there is a dearth of published evidence about parents´ knowledge of children´s developmental milestones in Ghana. The objective was to determine maternal knowledge of childhood developmental milestones (CDM) among a community-based sample of mothers of children under the age of five, identify the factors associated with CDM knowledge and the sources of information.

Methods

a population-based cross-sectional study involving mothers of children less than five years resident in Akrofuom in the Ashanti Region of Ghana was selected in January 2023 using a multistage cluster sampling technique. Interviewer-based questionnaires were administered to eligible mothers. Knowledge of CDM and sources of CDM information were examined using descriptive statistics. Bivariate analysis was conducted to identify factors influencing CDM knowledge, and a multivariate logistic regression analysis was performed to evaluate the factors associated with overall CDM knowledge.

Results

participants had low knowledge (19.3%) of all four domains of CDM. Approximately 40% of the participants reported receiving CDM information from relatives/friends and 14% from general health practitioners. Family income (p=0.01), participant level of education (p=0.04), and age of the first child (p=0.05) were significant influencing factors of CDM knowledge.

Conclusion

the level of knowledge of mothers on CDM was low in all four domains emphasizing the need for healthcare workers and Pediatric Society Groups to increase their focus on educating parents, especially mothers, regarding knowledge of CDM.

Cortical Surface Area Profile Mediates Effects of Childhood Disadvantage on Later-Life General Cognitive Ability

OBJECTIVES

Childhood disadvantage is associated with lower general cognitive ability (GCA) and brain structural differences in midlife and older adulthood. However, the neuroanatomical mechanisms underlying childhood disadvantage effects on later-life GCA remain poorly understood. Although total surface area (SA) has been linked to lifespan GCA differences, total SA does not capture the nonuniform nature of childhood disadvantage effects on neuroanatomy, which varies across unimodal and transmodal cortices. Here, we examined whether cortical SA profile-the extent to which the spatial patterning of SA deviates from the normative unimodal-transmodal cortical organization-is a mediator of childhood disadvantage effects on later-life GCA.

METHODS

In 477 community-dwelling men aged 56-72 years old, childhood disadvantage index was derived from four indicators of disadvantages and GCA was assessed using a standardized test. Cortical SA was obtained from structural magnetic resonance imaging. For cortical SA profile, we calculated the spatial similarity between maps of individual cortical SA and MRI-derived principal gradient (i.e., unimodal-transmodal organization). Mediation analyses were conducted to examine the indirect effects of childhood disadvantage index through cortical SA profile on GCA.

RESULTS

Around 1.31% of childhood disadvantage index effects on later-life GCA were mediated by cortical SA profile, whereas total SA did not. Higher childhood disadvantage index was associated with more deviation of the cortical SA spatial patterning from the principal gradient, which in turn related to lower later-life GCA.

DISCUSSION

Childhood disadvantage may contribute to later-life GCA differences partly by influencing the spatial patterning of cortical SA in a way that deviates from the normative cortical organizational principle.

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.

Association of early life cardiovascular risk factors with grey matter structure in young adults in the United Kingdom: the ALSPAC study

BACKGROUND

Cumulative exposures to obesity, hypertension, and physical inactivity from midlife (40-65 years) onwards are three known cardiovascular risk factors for dementia and associated cerebral structural damage. Exactly how early in the lifespan sensitive periods for exposure to these risk factors begin is yet to be established, specifically with respect to onset of cerebral structural changes. We aimed to investigate whether cardiovascular risk across childhood and adolescence is already associated with cerebral structure in regions previously linked with dementia, during young adulthood.

METHODS

Participants were selected from the Avon Longitudinal Study of Parents and Children (ALSPAC), a UK-based prospective cohort of young people, if they had participated in a neuroimaging sub-study (N = 862). We entered data from repeated clinical assessments into mixed-effects models to estimate baseline and rate of change in body mass index (BMI) and mean arterial pressure (MAP) between ages 7-17 years, and physical activity (PA) between 11-15 years. Linear models assessed whether cardiovascular risk factors were associated with grey matter macrostructural indices (cortical thickness, surface area, volume) in young adulthood (∼20 years).

FINDINGS

BMI was found to be associated with grey matter macrostructure in nodes of Default Mode Network previously found to show atrophy in dementia. Baseline BMI was associated with thickness of precuneus cortex and entorhinal surface area, whilst rate of change in BMI across childhood and adolescence was associated with thickness of parahippocampal and middle temporal gyri and inferior parietal cortex in addition to entorhinal and parahippocampal surface area. Further, we identified associations between baseline MAP and PA and entorhinal surface area. Exploratory whole-brain analyses revealed associations between baseline and rate of change in these cardiovascular risk factors and the cortical thickness, surface area, and volume of broader groups of cortical and subcortical regions.

INTERPRETATION

Findings provide preliminary evidence that cerebral structural differences in regions linked to dementia in old age may be legacy of developmental differences associated with cardiovascular risk exposure during early life. This has relevance for lifespan models of dementia risk and timing of preventative interventions. Further work is required to generalise findings beyond this predominantly white, male, and middle-class sample to more diverse cohorts.

FUNDING

NIHR Oxford Health BRC (NIHR203316), Wellcome Trust (203139/Z/16/Z).

Variation in Adult Cognition Across Domains and Life Course Place Effects in the UK

This study explores the role that place of birth and place of residence have in variation in cognition in adulthood in the UK. We take advantage of both the large sample size and number of cognitive domains in the UK Biobank to estimate the effect of place of birth and place of residence on adulthood cognition using multilevel modeling. We find, consistent with studies in the US, that place effects at both time points contribute modest variation (<3% of the variation) across all measured cognitive domains, suggesting a relative lack of contribution of shared environments in explaining future Alzheimer's Disease and Related Dementias. Moreover, the geographical contribution to cognitive function in adulthood was slightly larger for females than for males. This study is among the first to explore the impact of both the independent and joint associations of place of birth and place of residence with different cognitive domains.

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.

Early Exposure to Deprivation or Threat Moderates Expected Associations Between Neural Structure and Age in Adolescent Girls

Childhood adversity (CA) is associated with increased risk of negative health outcomes. Research implicates brain structure following CA as a key mechanism of this risk, and recent models suggest different forms of adversity differentially impact neural structure as a function of development (accelerated or attenuated development). Employing the Dimensional Model of Adversity and Psychopathology, we examined whether deprivation and threat differentially impact age-related change in cortical thickness, cortical surface area, and subcortical structure volume, using whole-brain and region of interest analyses (N = 135). In youth without CA, age predicted less surface area across adolescence, consistent with normative data. However, for adolescents with more deprivation exposure, as age increased there was attenuated surface area decreases in the orbitofrontal and superior-parietal cortex, regions recruited for higher-order cognition. Further, for those with more threat exposure, as age increased surface area increased in the inferior-temporal and parietal cortex, regions recruited in socio-emotional tasks. These novel findings extend work examining the impact of dimensions of adversity at a single-age and broaden current conceptualizations of how adversity might impact developmental timing.

Association Between the Enriched Environment Level and Serum Brain-Derived Neurotrophic Factor (BDNF) in Patients with Major Depressive Disorder

Major Depressive Disorder (MDD) is a neuropsychiatric condition whose neurobiological characteristics include alterations in brain plasticity, modulated by Brain-Derived Neurotrophic Factor (BDNF). In animal models, environmental enrichment promotes neuroplasticity and reduces depressive-like behaviors. In humans, we proposed to assess the level of Enriched Environment (EE) using a questionnaire that includes different domains of the EE (cognitive, social, and physical), which we named the EE Indicator (EEI).

OBJECTIVE

To determine the relationship between the level of EE and serum BDNF in participants with MDD and healthy controls.

MATERIALS

Participants with MDD without antidepressant treatment and healthy controls were recruited, and their EE level and serum BDNF concentration were determined looking for correlations between their clinical characteristics and the cognitive, social, and physical activities according to the EEI.

RESULTS

A total of 25 participants were recruited, of which 6 participants with MDD and the same number of controls were selected in a paired manner. Although no differences were found in the concentration of BDNF between the groups, positive correlations were observed between cognitive EE and BDNF (r = 0.62, p = 0.035), as well as negative social EE and the Hamilton Depression Rating Scale (HDRS) (r = -0.86, p = 0.001). The sum between cognitive and social EE showed a positive correlation with the serum concentration of BDNF (r = 0.34, p = 0.0451).

CONCLUSIONS

The level of EE is potentially modulating the presence and severity of MDD at a clinical level, but it can also influence at a neuroplastic level through promoting or limiting the concentration of BDNF.

A sensitive period for the development of episodic-like memory in mice

Episodic-like memory is a later-developing cognitive function supported by the hippocampus. In mice, the formation of extracellular perineuronal nets in subfield CA1 of the dorsal hippocampus controls the emergence of episodic-like memory during the fourth postnatal week (Ramsaran et al., 2023). Whether the timing of episodic-like memory onset is hard-wired, or flexibly set by early-life experiences during a critical or sensitive period for hippocampal maturation, is unknown. Here, we show that the trajectories for episodic-like memory development vary for mice given different sets of experiences spanning the second and third postnatal weeks. Specifically, episodic-like memory precision developed later in mice that experienced early-life adversity, while it developed earlier in mice that experienced early-life enrichment. Moreover, we demonstrate that early-life experiences set the timing of episodic-like memory development by modulating the pace of perineuronal net formation in dorsal CA1. These results indicate that the hippocampus undergoes a sensitive period during which early-life experiences determine the timing for episodic-like memory development.

Effects of parental socioeconomic status on offspring's fetal neurodevelopment

Emerging evidence underscores the prenatal period's critical role in shaping later cognition and health, influenced by an intricate interplay of parental genetic and environmental factors. Birth weight is commonly used as a retrospective indicator of fetal development, but recent focus has shifted to more specific proxies of neurodevelopment, like cortical sulcal patterns, which are established in utero and remain stable after birth. This study aimed to elucidate the interrelated effects of parental socioeconomic status, brain volume, birth weight, and sulcal patterns in the anterior cingulate cortex. Utilizing structural Magnetic Resonance Imaging (MRI), parental educational attainment, and related polygenic risk scores, the study analyzed 203 healthy right-handed participants aged 9 to 18. Structural equation modeling demonstrated that the anterior cingulate cortex sulcal pattern is influenced by parental socioeconomic status and global brain volume, with socioeconomic status correlating with a polygenic risk score. These findings suggest that prenatal neurodevelopmental processes may mediate the intergenerational transmission of inequalities.

Environmental and neurodevelopmental contributors to youth mental illness

While a myriad of factors likely contribute to the development of mental illness in young people, the social environment (including early adverse experiences) in concert with neurodevelopmental alterations is undeniably important. A number of influential theories make predictions about how and why neurodevelopmental alterations may mediate or moderate the effects of the social environment on the emergence of mental illness. Here, we discuss current evidence supporting each of these theories. Although this area of research is rapidly growing, the body of evidence is still relatively limited. However, there exist some consistent findings, including increased striatal reactivity during positive affective processing and larger hippocampal volumes being associated with increased vulnerability or susceptibility to the effects of social environments on internalizing symptoms. Limited longitudinal work has investigated neurodevelopmental mechanisms linking the social environment with mental health. Drawing from human research and insights from animal studies, we propose an integrated mediation-moderation model and outline future research directions to advance the field.

Neuroanatomical changes observed over the course of a human pregnancy

Pregnancy is a period of profound hormonal and physiological changes experienced by millions of women annually, yet the neural changes unfolding in the maternal brain throughout gestation are not well studied in humans. Leveraging precision imaging, we mapped neuroanatomical changes in an individual from preconception through 2 years postpartum. Pronounced decreases in gray matter volume and cortical thickness were evident across the brain, standing in contrast to increases in white matter microstructural integrity, ventricle volume and cerebrospinal fluid, with few regions untouched by the transition to motherhood. This dataset serves as a comprehensive map of the human brain across gestation, providing an open-access resource for the brain imaging community to further explore and understand the maternal brain.

Effect of an early music intervention on emotional and neurodevelopmental outcomes of preterm infants at 12 and 24 months

Background

Few studies have found long-term effects of early musical environmental enrichment in the NICU on preterm infant's development. This study examines how early music enrichment affects emotional development and effortful control abilities in 12- and 24-month-old very preterm (VPT) infants.

Methods

One hundred nineteen newborns were recruited, including 83 VPTs and 36 full-term (FT) infants. The VPT infants were randomly assigned to the music intervention (44 VPT-Music) or control (39 VPT-control) groups. VPT-Music infants listened specifically designed music intervention from the 33rd week of gestation until hospital discharge. At 12 and 24 months, children were clinically evaluated using the Bayley-III Scales of Infant and Toddler Development and the Laboratory Temperament Assessment Battery, and at 24 months, with 3 additional episodes of the Effortful Control Battery.

Results and discussion

Our analysis showed that during a fear eliciting task, the VPT-Music group expressed lower level of fear reactivity and higher positive motor actions than VPT-controls and FT infants. At 24 months, the VPT-music group had lower scores for negative motor actions in the joy task, compared to both VPT-control and FT groups. In addition, both FT and VPT-music had higher scores of sustained attention compared to VPT-controls, but the contrasts were not significant. No significant effects on mental, language and motor outcomes were identified and for all three dimensions of the ECBQ.

Conclusion

The present study suggests that an early music intervention in the NICU might influence preterm children's emotional processing at 12 and 24 months. Limitations and suggestions for future research are highlighted.

Exploring the influence of the DRD2 gene on mathematical ability: perspectives of gene association and gene-environment interaction

Mathematical ability is influenced by genes and environment. This study focused on the effect of DRD2, a candidate gene for working memory, on mathematical ability. The results in child participants revealed associations between the DRD2 gene and mathematical ability. It was found that individual's mathematical ability was influenced by Single Nucleotide Polymorphisms (SNPs) in DRD2, both in the form of haplotypes and in the way of interaction with parental education. These findings suggest that dopaminergic genes are linked to mathematical ability. This study provides evidence for the genetic basis of mathematical ability and offers guidance for personalized intervention in mathematical education.

Epigenetic molecular underpinnings of brain structural-functional connectivity decoupling in patients with major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is progressively recognized as a stress-related disorder characterized by aberrant brain network dynamics, encompassing both structural and functional domains. Yet, the intricate interplay between these dynamic networks and their molecular underpinnings remains predominantly unexplored.

METHODS

Both structural and functional networks were constructed using multimodal neuroimaging data from 183 MDD patients and 300 age- and gender-matched healthy controls (HC). structural-functional connectivity (SC-FC) coupling was evaluated at both the connectome- and nodal-levels. Methylation data of five HPA axis key genes, including NR3C1, FKBP5, CRHBP, CRHR1, and CRHR2, were analyzed using Illumina Infinium Methylation EPIC BeadChip.

RESULTS

We observed a significant reduction in SC-FC coupling at the connectome-level in patients with MDD compared to HC. At the nodal level, we found an imbalance in SC-FC coupling, with reduced coupling in cortical regions and increased coupling in subcortical regions. Furthermore, we identified 23 differentially methylated CpG sites on the HPA axis, following adjustment for multiple comparisons and control of age, gender, and medication status. Notably, three CpG sites on NR3C1 (cg01294526, cg19457823, and cg23430507), one CpG site on FKBP5 (cg25563198), one CpG site on CRHR1 (cg26656751), and one CpG site on CRHR2 (cg18351440) exhibited significant associations with SC-FC coupling in MDD patients.

CONCLUSIONS

These findings provide valuable insights into the connection between micro-scale epigenetic changes in the HPA axis and SC-FC coupling at macro-scale connectomes. They unveil the mechanisms underlying increased susceptibility to MDD resulting from chronic stress and may suggest potential pharmacological targets within the HPA-axis for MDD treatment.

Increased functional integration of emotional control network in late adulthood

Across the adult lifespan, emotion regulation ability remains stable or even improves. The corresponding effects, however, in the emotion regulation networks in the brain remain underexplored. By utilizing large-scale datasets such as the Human Connectome Project (HCP-Aging, N=621, 349 females) and Cambridge Centre for Ageing and Neuroscience (Cam-CAN, N=333, 155 females), we were able to investigate how emotion regulation networks' functional topography differs across the entire adult lifespan. Based on previous meta-analytic work that identified four large-scale functional brain networks involved in emotion generation and regulation, we investigated the association between the integration of these emotion regulation networks and measures of mental wellbeing with age in the HCP-Aging dataset. We found an increase in the functional integration of the emotional control network among older adults, which was replicated using the Cam-CAN data set. Further we found that the network that is mediating emotion generative and regulative processes, and carries our introspective and reflective functions, is less integrated in higher age. Our study highlights the importance of identifying topological changes in the functional emotion network architecture across the lifespan, as it allows for a better understanding of functional brain network changes that accompany emotional aging.

The HEALthy Brain and Child Development Study (HBCD): NIH collaboration to understand the impacts of prenatal and early life experiences on brain development

The human brain undergoes rapid development during the first years of life. Beginning in utero, a wide array of biological, social, and environmental factors can have lasting impacts on brain structure and function. To understand how prenatal and early life experiences alter neurodevelopmental trajectories and shape health outcomes, several NIH Institutes, Centers, and Offices collaborated to support and launch the HEALthy Brain and Child Development (HBCD) Study. The HBCD Study is a multi-site prospective longitudinal cohort study, that will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Influenced by the success of the ongoing Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®) and in partnership with the NIH Helping to End Addiction Long-term® Initiative, or NIH HEAL Initiative®, the HBCD Study aims to establish a diverse cohort of over 7000 pregnant participants to understand how early life experiences, including prenatal exposure to addictive substances and adverse social environments as well as their interactions with an individual's genes, can affect neurodevelopmental trajectories and outcomes. Knowledge gained from the HBCD Study will help identify targets for early interventions and inform policies that promote resilience and mitigate the neurodevelopmental effects of adverse childhood experiences and environments.

Experience-dependent serotonergic signaling in glia regulates targeted synapse elimination

The optimization of brain circuit connectivity based on initial environmental input occurs during critical periods characterized by sensory experience-dependent, temporally restricted, and transiently reversible synapse elimination. This precise, targeted synaptic pruning mechanism is mediated by glial phagocytosis. Serotonin signaling has prominent, foundational roles in the brain, but functions in glia, or in experience-dependent brain circuit synaptic connectivity remodeling, have been relatively unknown. Here, we discover that serotonergic signaling between glia is essential for olfactory experience-dependent synaptic glomerulus pruning restricted to a well-defined Drosophila critical period. We find that experience-dependent serotonin signaling is restricted to the critical period, with both (1) serotonin production and (2) 5-HT2A receptors specifically in glia, but not neurons, absolutely required for targeted synaptic glomerulus pruning. We discover that glial 5-HT2A receptor signaling limits the experience-dependent synaptic connectivity pruning in the critical period and that conditional reexpression of 5-HT2A receptors within adult glia reestablishes "critical period-like" experience-dependent synaptic glomerulus pruning at maturity. These results reveal an essential requirement for glial serotonergic signaling mediated by 5-HT2A receptors for experience-dependent synapse elimination.

Cognitive difficulties following adversity are not related to mental health: Findings from the ABCD study

Early life adversity is associated with differences in cognition and mental health that can impact on daily functioning. This study uses a hybrid machine-learning approach that combines random forest classification with hierarchical clustering to clarify whether there are cognitive differences between individuals who have experienced moderate-to-severe adversity relative to those have not experienced adversity, to explore whether different forms of adversity are associated with distinct cognitive alterations and whether these such alterations are related to mental health using data from the ABCD study (n = 5,955). Cognitive measures spanning language, reasoning, memory, risk-taking, affective control, and reward processing predicted whether a child had a history of adversity with reasonable accuracy (67%), and with good specificity and sensitivity (>70%). Two subgroups were identified within the adversity group and two within the no-adversity group that were distinguished by cognitive ability (low vs high). There was no evidence for specific associations between the type of adverse exposure and cognitive profile. Worse cognition predicted lower levels of mental health in unexposed children. However, while children who experience adversity had elevated mental health difficulties, their mental health did not differ as a function of cognitive ability, thus providing novel insight into the heterogeneity of psychiatric risk.