ArticleJournal of Intelligence2021
Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners.
Article in Journal of Intelligence, 2021. 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.
- Bridging mental health, cognition and the brain in mild traumatic brain injury: A multilayer network analysis of the TRACK-TBI study.NeuroImage. Clinical · 2026Article
- The Left Insula Bridges Cognition, Emotion, and Brain Structure: A Multilayer Network Analysis of the Human Connectome Project-Young Adult.bioRxiv : the preprint server for biology · 2025Article
- Symptom network analysis of prefrontal seizures.Epilepsia · 2025Article
- Network dysfunction of sadness facial expression processing and morphometry in euthymic bipolar disorder.European archives of psychiatry and clinical neuroscience · 2024Article
- Interconnected Pathways: Postural Stability and Vocabulary Skills in Preschool-Aged Children.Children (Basel, Switzerland) · 2023Article
- Multilayer network associations between the exposome and childhood brain development.bioRxiv : the preprint server for biology · 2023Article
- Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones.Biological psychiatry · 2023Review
- The fundamental benefits of multiplexity in ecological networks.Journal of the Royal Society, Interface · 2022Article
- Cognitive and Academic Skills in Two Developmental Cohorts of Different Ability Level: A Mutualistic Network Perspective.Journal of applied research in memory and cognition · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Network analytic methods that are ubiquitous in other areas, such as systems neuroscience, have recently been used to test network theories in psychology, including intelligence research. The network or mutualism theory of intelligence proposes that the statistical associations among cognitive abilities (e.g., specific abilities such as vocabulary or memory) stem from causal relations among them throughout development. In this study, we used network models (specifically LASSO) of cognitive abilities and brain structural covariance (grey and white matter) to simultaneously model brain-behavior relationships essential for general intelligence in a large (behavioral, N = 805; cortical volume, N = 246; fractional anisotropy, N = 165) developmental (ages 5-18) cohort of struggling learners (CALM). We found that mostly positive, small partial correlations pervade our cognitive, neural, and multilayer networks. Moreover, using community detection (Walktrap algorithm) and calculating node centrality (absolute strength and bridge strength), we found convergent evidence that subsets of both cognitive and neural nodes play an intermediary role 'between' brain and behavior. We discuss implications and possible avenues for future studies.
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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.