ArticleNeuroImage2019
Model-based network discovery of developmental and performance-related differences during risky decision-making.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Right hippocampal volume and attenuated psychotic symptoms distinguish subgroups of youth with common patterns of temporoparietal effective connectivity.Brain structure & function · 2026Article
- Neural activity and network analysis for understanding reasoning using the matrix reasoning task.Cognitive processing · 2023Article
- Characterizing heterogeneity in early adolescent reward networks and individualized associations with behavioral and clinical outcomes.Network neuroscience (Cambridge, Mass.) · 2023Article
- Neural connectivity underlying adolescent social learning in sibling dyads.Social cognitive and affective neuroscience · 2022Article
- Unsupervised classification reveals consistency and degeneracy in neural network patterns of emotion.Social cognitive and affective neuroscience · 2022Article
- Heterogeneity in PFC-amygdala connectivity in middle childhood, and concurrent interrelations with inhibitory control and anxiety symptoms.Neuropsychologia · 2022Article
- Article
- BRAIN Initiative: Cutting-Edge Tools and Resources for the Community.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Review
- Improving the Walktrap Algorithm UsingMultivariate behavioral researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Theories of adolescent neurodevelopment have largely focused on group-level descriptions of neural changes that help explain increases in risk behavior that are stereotypical of the teen years. However, because these models are concerned with describing the "average" individual, they can fail to account for important individual or within-group variability. New methodological developments now offer the possibility of accounting for both group trends and individual differences within the same modeling framework. Here we apply GIMME, a model-based approach which uses both group and individual-level information to construct functional connectivity maps, to investigate risky behavior and neural changes across development. Adolescents (N = 30, M
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.