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

Gard, Arianna M.; Hyde, Luke W.; Heeringa, Steven G.; West, Brady T.; Mitchell, Colter

doi:10.1016/j.dcn.2023.101196

Cited by 26 publications

(22 citation statements)

References 89 publications

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“…When the survey data are augmented with other data sources, such as administrative records or biomarkers, participants who do and do not occur in both data sources may systematically differ . To achieve unbiased population representation with these data, an additional adjustment to the standard weight may be needed …”

Section: Limitations Of Population Weightingmentioning

confidence: 99%

“…8 To achieve unbiased population representation with these data, an additional adjustment to the standard weight may be needed. 9 Weighting improves the overall population estimates, but the weighted estimators for small geographic areas or rare population subgroups may not be representative or stable. Model-based approaches are preferable in these cases, whereby analysts explicitly include design features in prediction modeling and stabilize small area estimation by borrowing information via a multilevel structure.…”

Section: Limitations Of Population Weightingmentioning

confidence: 99%

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Population Weighting in Statistical Analysis

Si,

Lee,

Heeringa

2024

JAMA Intern Med

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Section: Limitations Of Population Weightingmentioning

confidence: 99%

Section: Limitations Of Population Weightingmentioning

confidence: 99%

Population Weighting in Statistical Analysis

Si,

Lee,

Heeringa

2024

JAMA Intern Med

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“…The ABCD study sample was recruited via methods that sought to reduce selection bias, but the resulting data are not meant to be representative of all US youth ( Garavan et al, 2018 ). Although the sample is diverse and generally mirrors the US population in race/ethnicity characteristics, the sample is also more educated, has more children from married caregivers, and higher income than the average US household ( Gard et al, 2023 ).…”

Section: Resultsmentioning

confidence: 99%

Effects of parental mental health and family environment on impulsivity in preadolescents: a longitudinal ABCD study®

Gebru,

Goncalves,

Cruz

et al. 2023

Front. Behav. Neurosci.

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IntroductionImpulsivity is a known risk factor for the development of substance use disorders and other psychiatric conditions that is influenced by both genetics and environment. Although research has linked parental mental health to children’s impulsivity, potential mediators of this relationship remain understudied. The current investigation leverages the large national Adolescent Brain Cognitive Development (ABCD) Study to assess the mediating role of family conflict – an important social context for youth development – in the relationship between parental mental health and youth impulsivity.MethodsData were from the first three annual waves of the ABCD study (Baseline N = 11,876 children, Mage = 9.9 years; 48% female; 52% White). Parental mental health conditions were self-reported internalizing, externalizing, and total problems. Youth completed the family conflict scale, and Urgency, Planning (lack of), Perseverance (lack of), Sensation Seeking, and Positive Urgency (UPPS-P) scale to measure impulsivity. To determine if within-family change in conflict from baseline to year 1 explained changes in the strength of relations between baseline parental mental health and year 2 youth impulsivity, longitudinal causal mediation analyses were conducted, controlling for demographic factors (i.e., age, sex, race, household income, parental education, marital status), as well as baseline levels of family conflict and outcomes. Separate mediation models were run for each mental health condition and each UPPS-P subscale.ResultsAbove and beyond bivariate relations, longitudinal mediation models, which included covariates, showed family conflict significantly (ps < 0.001) mediated relations between all three parental mental health conditions and all but one (i.e., sensation seeking) UPPS-P subscales. The proportion mediated through family conflict for internalizing problems and total problems on facets of impulsivity (except sensation seeking) ranged from 9% (for lack of perseverance) to 17% (for lack of planning). Proportion mediated via family conflict for externalizing problems on youth’s impulsivity (except sensation seeking) was slightly higher, ranging between 13% (lack of perseverance) to 21% (lack of planning).DiscussionFamily conflict may be an important intergenerational factor linking parental mental health and youth’s impulsivity. Addressing parental mental health and family conflict may help curb increased impulsivity in youth, and in turn reduce adolescent substance use disorders.

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“…As neuroimaging data from future ABCD waves are released, future studies should disentangle causal effects and assess how the spatially divergent effects of SER unfold longitudinally across development. Second, SER scores in the ABCD Study are overall higher compared to the national population, an issue that is further exacerbated by our exclusion criteria (e.g., cutoffs for excessive head motion) (96,97); thus, caution should be exercised when attempting to generalize our findings to the broader population in the United States and worldwide. Lastly, in our previous multivariate study of SER (18), granular analyses demarcated that parental education was the primary factor related to functional connectivity (compared to family income-to-needs and neighborhood disadvantage).…”

Section: Discussionmentioning

confidence: 95%

Socioeconomic resources in youth are linked to divergent patterns of network integration and segregation across the brain’s transmodal axis

Michael,

Taxali,

Angstadt

et al. 2023

Preprint

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Socioeconomic resources (SER) calibrate the developing brain to the current context, which can confer or attenuate risk for psychopathology across the lifespan. Recent multivariate work indicates that SER levels powerfully influence intrinsic functional connectivity patterns across the entire brain. Nevertheless, the neurobiological meaning of these widespread alterations remains poorly understood, despite its translational promise for early risk identification, targeted intervention, and policy reform. In the present study, we leverage the resources of graph theory to precisely characterize multivariate and univariate associations between household SER and the functional integration and segregation (i.e., participation coefficient, within-module degree) of brain regions across major cognitive, affective, and sensorimotor systems during the resting state in 5,821 youth (ages 9-10 years) from the Adolescent Brain Cognitive Development (ABCD) Study. First, we establish that decomposing the brain into profiles of integration and segregation captures more than half of the multivariate association between SER and functional connectivity with greater parsimony (100-fold reduction in number of features) and interpretability. Second, we show that the topological effects of SER are not uniform across the brain; rather, higher SER levels are related to greater integration of somatomotor and subcortical systems, but greater segregation of default mode, orbitofrontal, and cerebellar systems. Finally, we demonstrate that the effects of SER are spatially patterned along the unimodal-transmodal gradient of brain organization. These findings provide critical interpretive context for the established and widespread effects of SER on brain organization, indicating that SER levels differentially configure the intrinsic functional architecture of developing unimodal and transmodal systems. This study highlights both sensorimotor and higher-order networks that may serve as neural markers of environmental stress and opportunity, and which may guide efforts to scaffold healthy neurobehavioral development among disadvantaged communities of youth.

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

Cited by 26 publications

References 89 publications

Population Weighting in Statistical Analysis

Population Weighting in Statistical Analysis

Effects of parental mental health and family environment on impulsivity in preadolescents: a longitudinal ABCD study®

Socioeconomic resources in youth are linked to divergent patterns of network integration and segregation across the brain’s transmodal axis

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