Next Article in Journal
Integrating Diverse Points of View on Intelligence: A 6P Framework and Its Implications
Previous Article in Journal
Improving Gifted Talent Development Can Help Solve Multiple Consequential Real-World Problems
Article

Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners

1
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire CB2 7EF, UK
2
Department of Clinical Psychology, Leiden University, 2300 RA Leiden, The Netherlands
3
Department of Psychiatry, University of Cambridge Clinical School, Cambridge, Cambridgeshire CB2 0SP, UK
4
Cognitive Neuroscience Department, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
*
Author to whom correspondence should be addressed.
Received: 27 January 2021 / Revised: 26 April 2021 / Accepted: 2 June 2021 / Published: 15 June 2021
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. View Full-Text
Keywords: general intelligence; cortical volume; fractional anisotropy; brain structural covariance; cognitive network neuroscience; multilayer network analysis general intelligence; cortical volume; fractional anisotropy; brain structural covariance; cognitive network neuroscience; multilayer network analysis
Show Figures

Figure 1

MDPI and ACS Style

Simpson-Kent, I.L.; Fried, E.I.; Akarca, D.; Mareva, S.; Bullmore, E.T.; the CALM Team; Kievit, R.A. Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners. J. Intell. 2021, 9, 32. https://0-doi-org.brum.beds.ac.uk/10.3390/jintelligence9020032

AMA Style

Simpson-Kent IL, Fried EI, Akarca D, Mareva S, Bullmore ET, the CALM Team, Kievit RA. Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners. Journal of Intelligence. 2021; 9(2):32. https://0-doi-org.brum.beds.ac.uk/10.3390/jintelligence9020032

Chicago/Turabian Style

Simpson-Kent, Ivan L., Eiko I. Fried, Danyal Akarca, Silvana Mareva, Edward T. Bullmore, the CALM Team, and Rogier A. Kievit 2021. "Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners" Journal of Intelligence 9, no. 2: 32. https://0-doi-org.brum.beds.ac.uk/10.3390/jintelligence9020032

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop