Loading...
Characterizing heterogeneity in early adolescent reward networks and individualized associations with behavioral and clinical outcomes
Citations
Altmetric:
Genre
Journal article
Date
2023-06-30
Advisor
Committee member
Group
Department
Psychology and Neuroscience
Permanent link to this record
Collections
Research Projects
Organizational Units
Journal Issue
DOI
https://doi.org/10.1162/netn_a_00306
Abstract
Associations between connectivity networks and behavioral outcomes such as depression are typically examined by comparing average networks between known groups. However, neural heterogeneity within groups may limit the ability to make inferences at the individual level as qualitatively distinct processes across individuals may be obscured in group averages. This study characterizes the heterogeneity of effective connectivity reward networks among 103 early adolescents and examines associations between individualized features and multiple behavioral and clinical outcomes. To characterize network heterogeneity, we used extended unified structural equation modeling to identify effective connectivity networks for each individual and an aggregate network. We found that an aggregate reward network was a poor representation of individuals, with most individual-level networks sharing less than 50% of the group-level network paths. We then used Group Iterative Multiple Model Estimation to identify a group-level network, subgroups of individuals with similar networks, and individual-level networks. We identified three subgroups that appear to reflect differences in network maturity, but this solution had modest validity. Finally, we found numerous associations between individual-specific connectivity features and behavioral reward functioning and risk for substance use disorders. We suggest that accounting for heterogeneity is necessary to use connectivity networks for inferences precise to the individual.
Description
Citation
Mattoni, M., Smith, D. V., & Olino, T. M. (2023). Characterizing heterogeneity in early adolescent reward networks and individualized associations with behavioral and clinical outcomes. Network Neuroscience, 7(2), 787–810. https://doi.org/10.1162/netn_a_00306
Citation to related work
MIT Press
Has part
Network Neuroscience, Vol. 7, Iss. 2
ADA compliance
For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu