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1. Net Worth Poverty in Child Households by Race and Ethnicity, 1989–2019

   https://doi.org/10.1111/jomf.12742  

   Gibson‐Davis, Christina ; Keister, Lisa A. ; Gennetian, Lisa A. ( November 2020 , Journal of Marriage and Family)

   This study is the first to examine net worth poverty, and its intersection with income poverty, by race and ethnicity among child households in the United States.

   Scholarship on economic scarcity for children has largely concentrated on income deficits and thus leaves open important questions about wealth deficits.

   Data come from the 1989–2019 waves of the Survey of Consumer Finances, on households with at least one resident child under the age of 18. Net worth poverty is measured as household net worth, defined as total assets minus total debts, that is less than one‐fourth of the federal poverty line.

   In 2019, 57% of Black and 50% of Latino child households were net worth poor. The majority of these households were not income poor. Racial and ethnic differences in net worth poverty (unlike those for income poverty) persist even when sociodemographic variation predicting income poverty is controlled for.

   Net worth poverty is so prevalent in the lives of non‐White children that, after sociodemographic characteristics are controlled for, Black and Latino child households have about the same probability of not being poor as they do of being net worth poor.

   A focus on income deprivation alone will overlook the precarious economic conditions related to family net worth and ignore growing disparities by race and ethnicity.

    

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2. Socioeconomic impacts on Andean adolescents’ growth

   https://doi.org/10.1093/emph/eoac033  

   Burris, Mecca E. ; Caceres, Esperanza ; Chester, Emily M. ; Hicks, Kathryn A. ; McDade, Thomas W. ; Sikkink, Lynn ; Spielvogel, Hilde ; Thornburg, Jonathan ; Vitzthum, Virginia J. ( August 2022 , Evolution, Medicine, and Public Health)

   We evaluated potential socioeconomic contributors to variation in Andean adolescents’ growth between households within a peri-urban community undergoing rapid demographic and economic change, between different community types (rural, peri-urban, urban) and over time. Because growth monitoring is widely used for assessing community needs and progress, we compared the prevalences of stunting, underweight, and overweight estimated by three different growth references.

   Anthropometrics of 101 El Alto, Bolivia, adolescents (Alteños), 11.0–14.9 years old in 2003, were compared between households (economic status assessed by parental occupations); to one urban and two rural samples collected in 1983/1998/1977, respectively; and to the WHO growth reference, a representative sample of Bolivian children (MESA), and a region-wide sample of high-altitude Peruvian children (Puno).

   Female Alteños’ growth was positively associated with household and maternal income indices. Alteños’ height averaged ∼0.8SD/∼0.6SD/∼2SDs greater than adolescents’ height in urban and rural communities measured in 1983/1998/1977, respectively. Overweight prevalence was comparable to the WHO, and lower than MESA and Puno, references. Stunting was 8.5/2.5/0.5 times WHO/MESA/Puno samples, respectively.

   Both peri-urban conditions and temporal trends contributed to gains in Alteños’ growth. Rural out-migration can alleviate migrants’ poverty, partly because of more diverse economic options in urbanized communities, especially for women. Nonetheless, Alteños averaged below WHO and MESA height and weight medians. Evolved biological adaptations to environmental challenges, and the consequent variability in growth trajectories, favor using multiple growth references. Growth monitoring should be informed by community- and household-level studies to detect and understand local factors causing or alleviating health disparities.

    

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3. Family Cohesion Moderates the Relation between Parent–Child Neural Connectivity Pattern Similarity and Youth's Emotional Adjustment

   https://doi.org/10.1523/JNEUROSCI.0349-23.2023  

   Zhou, Zexi ; Chen, Ya-Yun ; Yang, Beiming ; Qu, Yang ; Lee, Tae-Ho ( July 2023 , The Journal of Neuroscience)

   Despite a recent surge in research examining parent–child neural similarity using fMRI, there remains a need for further investigation into how such similarity may play a role in children's emotional adjustment. Moreover, no prior studies explored the potential contextual factors that may moderate the link between parent–child neural similarity and children's developmental outcomes. In this study, 32 parent–youth dyads (parents:M_age= 43.53 years, 72% female; children:M_age= 11.69 years, 41% female) watched an emotion-evoking animated film while being scanned using fMRI. We first quantified how similarly emotion network interacts with other brain regions in responding to the emotion-evoking film between parents and their children. We then examined how such parent–child neural similarity is associated with children's emotional adjustment, with attention to the moderating role of family cohesion. Results revealed that higher parent–child similarity in functional connectivity pattern during movie viewing was associated with better emotional adjustment, including less negative affect, lower anxiety, and greater ego resilience in youth. Moreover, such associations were significant only among families with higher cohesion, but not among families with lower cohesion. The findings advance our understanding of the neural mechanisms underlying how children thrive by being in sync and attuned with their parents, and provide novel empirical evidence that the effects of parent–child concordance at the neural level on children's development are contextually dependent.

   SIGNIFICANCE STATEMENTWhat neural processes underlie the attunement between children and their parents that helps children thrive? Using a naturalistic movie-watching fMRI paradigm, we find that greater parent–child similarity in how emotion network interacts with other brain regions during movie viewing is associated with youth's better emotional adjustment including less negative affect, lower anxiety, and greater ego resilience. Interestingly, these associations are only significant among families with higher cohesion, but not among those with lower cohesion. Our findings provide novel evidence that parent–child shared neural processes to emotional situations can confer benefits to children, and underscore the importance of considering specific family contexts in which parent–child neural similarity may be beneficial or detrimental to children's development, highlighting a crucial direction for future research.

    

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4. Effective connectivity in the default mode network after paediatric traumatic brain injury

   https://doi.org/10.1111/ejn.15546  

   Vaughn, Kelly A. ; DeMaster, Dana ; Kook, Jeong Hwan ; Vannucci, Marina ; Ewing‐Cobbs, Linda ( December 2021 , European Journal of Neuroscience)

   Children who experience a traumatic brain injury (TBI) are at elevated risk for a range of negative cognitive and neuropsychological outcomes. Identifying which children are at greatest risk for negative outcomes can be difficult due to the heterogeneity of TBI. To address this barrier, the current study applied a novel method of characterizing brain connectivity networks, Bayesian multi‐subject vector autoregressive modelling (BVAR‐connect), which used white matter integrity as priors to evaluate effective connectivity—the time‐dependent relationship in functional magnetic resonance imaging (fMRI) activity between two brain regions—within the default mode network (DMN). In a prospective longitudinal study, children ages 8–15 years with mild to severe TBI underwent diffusion tensor imaging and resting state fMRI 7 weeks after injury; post‐concussion and anxiety symptoms were assessed 7 months after injury. The goals of this study were to (1) characterize differences in positive effective connectivity of resting‐state DMN circuitry between healthy controls and children with TBI, (2) determine if severity of TBI was associated with differences in DMN connectivity and (3) evaluate whether patterns of DMN effective connectivity predicted persistent post‐concussion symptoms and anxiety. Healthy controls had unique positive connectivity that mostly emerged from the inferior temporal lobes. In contrast, children with TBI had unique effective connectivity among orbitofrontal and parietal regions. These positive orbitofrontal‐parietal DMN effective connectivity patterns also differed by TBI severity and were associated with persisting behavioural outcomes. Effective connectivity may be a sensitive neuroimaging marker of TBI severity as well as a predictor of chronic post‐concussion symptoms and anxiety.

    

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5. Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development

   https://doi.org/10.1523/JNEUROSCI.0735-23.2023  

   Busch, Erica L. ; Rapuano, Kristina M. ; Anderson, Kevin M. ; Rosenberg, Monica D. ; Watts, Richard ; Casey, B. J. ; Haxby, James V. ; Feilong, Ma ( December 2023 , The Journal of Neuroscience)

   The functional connectome supports information transmission through the brain at various spatial scales, from exchange between broad cortical regions to finer-scale, vertex-wise connections that underlie specific information processing mechanisms. In adults, while both the coarse- and fine-scale functional connectomes predict cognition, the fine scale can predict up to twice the variance as the coarse-scale functional connectome. Yet, past brain-wide association studies, particularly using large developmental samples, focus on the coarse connectome to understand the neural underpinnings of individual differences in cognition. Using a large cohort of children (age 9–10 years;n = 1,115 individuals; both sexes; 50% female, including 170 monozygotic and 219 dizygotic twin pairs and 337 unrelated individuals), we examine the reliability, heritability, and behavioral relevance of resting-state functional connectivity computed at different spatial scales. We use connectivity hyperalignment to improve access to reliable fine-scale (vertex-wise) connectivity information and compare the fine-scale connectome with the traditional parcel-wise (coarse scale) functional connectomes. Though individual differences in the fine-scale connectome are more reliable than those in the coarse-scale, they are less heritable. Further, the alignment and scale of connectomes influence their ability to predict behavior, whereby some cognitive traits are equally well predicted by both connectome scales, but other, less heritable cognitive traits are better predicted by the fine-scale connectome. Together, our findings suggest there are dissociable individual differences in information processing represented at different scales of the functional connectome which, in turn, have distinct implications for heritability and cognition.

    

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