Show simple item record

dc.creatorMattoni, Matthew
dc.creatorSmith, David
dc.creatorOlino, Thomas
dc.date.accessioned2023-09-13T16:51:21Z
dc.date.available2023-09-13T16:51:21Z
dc.date.issued2023-06-30
dc.identifier.citationMattoni, 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
dc.identifier.issn2472-1751
dc.identifier.urihttp://hdl.handle.net/20.500.12613/9035
dc.description.abstractAssociations 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.
dc.format.extent24 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofOpen Access Publishing Fund
dc.relation.haspartNetwork Neuroscience, Vol. 7, Iss. 2
dc.relation.isreferencedbyMIT Press
dc.rightsAttribution CC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectEffective connectivity
dc.subjectHeterogeneity
dc.subjectAdolescence
dc.subjectReward
dc.subjectDepression
dc.subjectSubstance use
dc.titleCharacterizing heterogeneity in early adolescent reward networks and individualized associations with behavioral and clinical outcomes
dc.typeText
dc.type.genreJournal article
dc.description.departmentPsychology and Neuroscience
dc.relation.doihttps://doi.org/10.1162/netn_a_00306
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Liberal Arts
dc.description.sponsorTemple University Libraries Open Access Publishing Fund, 2022-2023 (Philadelphia, Pa.)
dc.creator.orcidMattoni|0000-0001-8931-0707
dc.creator.orcidSmith|0000-0001-5754-9633
dc.creator.orcidOlino|0000-0001-5139-8571
dc.temple.creatorMattoni, Matthew
dc.temple.creatorSmith, David V.
dc.temple.creatorOlino, Thomas M.
refterms.dateFOA2023-09-13T16:51:21Z


Files in this item

Thumbnail
Name:
MattoniEtAl-JournalArticle-202 ...
Size:
917.8Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

Attribution CC BY
Except where otherwise noted, this item's license is described as Attribution CC BY