Meaningful associations in the adolescent brain cognitive development study
Florida International University1, University of Rochester Medical Center2, University of Missouri3, University of Michigan4, University of California, San Diego5, Haukeland University Hospital6, University of Massachusetts Medical School7, University of Southern California8, University of Oxford9, Washington University in St. Louis10, University of Vermont11, National Institute on Drug Abuse12, Virginia Commonwealth University13, Johns Hopkins University14, McGovern Institute for Brain Research15
TL;DR: The Adolescent Brain Cognitive Development (ABCD) Study as discussed by the authors is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in the United States.
About: This article is published in NeuroImage.The article was published on 2021-10-01 and is currently open access. It has received 16 citations till now. The article focuses on the topics: Population & Longitudinal study.
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TL;DR: In this article, the authors provide a brief overview of diffusion magnetic resonance imaging (dMRI) methods and how they can be used to study white matter and connectivity and review the extant literature examining the links between dMRI indices and executive functions during development.
19 citations
TL;DR: In this article, a longitudinal structural equation model was used to examine the indirect effect of adversity exposure (negative life events) on later psychopathology via changes in cortico-limbic resting-state functional connectivity (rsFC).
16 citations
TL;DR: In this article, the authors used restricted isotropic and anisotropic diffusion across the brain and measured cross-sectional and longitudinal age associations in a large sample (n=8,039) aged 9-13 years from the Adolescent Brain and Cognitive Development (ABCD) StudySM.
Abstract: Development in late childhood has been associated with microstructural changes in white matter (WM) that are hypothesized to underpin concurrent changes in cognitive and behavioral function. Restriction spectrum imaging (RSI) is a framework for modelling diffusion-weighted imaging that can probe microstructural changes within hindered and restricted compartments providing greater specificity than diffusion tensor imaging for characterizing intracellular diffusion. Using RSI, we modelled voxelwise restricted isotropic, N0, and anisotropic, ND, diffusion across the brain and measured cross-sectional and longitudinal age associations in a large sample (n=8,039) aged 9-13 years from the Adolescent Brain and Cognitive Development (ABCD) StudySM. Participants showed global increases in N0 and ND across WM with age. When controlling for global RSI measures (averaged across WM), we found smaller age-related associations in frontal regions, reflective of more protracted development of frontal WM. Moreover, variability in the development of restricted diffusion in subcortical regions and along particular gray-white matter boundaries was independent of the global developmental effect. Using the ABCD sample, we have unprecedented statistical power to estimate developmental effects with high precision. Our analyses reveal spatially-varying maturational changes for different regions, independent of global changes. This non-uniformity may reflect age-dependent development of distinct cognitive and behavioral processes.
12 citations
TL;DR: In this paper, the authors examined associations between brain structure (cortical metrics and white matter microstructural integrity) and depression ratings (from caregiver and child), in a large sample (N = 8634) of early adolescents (9 to 11 years old) from the US-based, Adolescent Brain and Cognitive Development (ABCD) Study®.
11 citations
TL;DR: This article examined whether childhood psychotic-like experiences (PLEs) are associated with several psychopathology-related polygenic scores (PGSs) and additionally examined possible neural and behavioral mechanisms.
8 citations
References
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TL;DR: Mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs.
Abstract: The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice, which extends the functionality of mice 1.0 in several ways. In mice, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs. Imputation of categorical data is improved in order to bypass problems caused by perfect prediction. Special attention is paid to transformations, sum scores, indices and interactions using passive imputation, and to the proper setup of the predictor matrix. mice can be downloaded from the Comprehensive R Archive Network. This article provides a hands-on, stepwise approach to solve applied incomplete data problems.
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TL;DR: An automated labeling system for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable and may be useful for both morphometric and functional studies of the cerebral cortex.
9,940 citations
TL;DR: It is shown that the average statistical power of studies in the neurosciences is very low, and the consequences include overestimates of effect size and low reproducibility of results.
Abstract: A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
5,683 citations
TL;DR: The application of positron emis sion tomography (PEM) to the study of panic disorder was discussed in this paper, where a focal brain abnormal ity in panic disorder, a severe form of anxiety, was discussed.
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TL;DR: In this paper, the authors discuss the implications of these problems for the conduct and interpretation of research and conclude that the probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and the ratio of true to no relationships among the relationships probed in each scientifi c fi eld.
Abstract: Summary There is increasing concern that most current published research fi ndings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientifi c fi eld. In this framework, a research fi nding is less likely to be true when the studies conducted in a fi eld are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater fl exibility in designs, defi nitions, outcomes, and analytical modes; when there is greater fi nancial and other interest and prejudice; and when more teams are involved in a scientifi c fi eld in chase of statistical signifi cance. Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Moreover, for many current scientifi c fi elds, claimed research fi ndings may often be simply accurate measures of the prevailing bias. In this essay, I discuss the implications of these problems for the conduct and interpretation of research. It can be proven that most claimed research fi ndings are false.
4,999 citations