Few effective interventions exist for neurodevelopmental disorders (NDDs), which are associated with significant impairment, high rates of disability, and substantial public health costs. The prevalence of NDDs has increased considerably over the past two decades, and children with NDDs make up the largest proportion of youth that seek mental health treatment. Thus, novel approaches for understanding NDDs and identifying potential treatment targets for these disorders are needed. NDDs often have comorbid presentations and shared symptomatology (e.g., impaired social functioning), which suggests that using a transdiagnostic approach to study NDDs may be informative. This approach could reveal modifiable factors and underlying neurobiological mechanisms that could be targeted through intervention to reduce neurodevelopmental symptomatology. Social connectedness (i.e., extracurricular involvement, family dynamics, and relationships with peers and parents) may be a salient protective factor for youth with neurodevelopmental symptomatology. An important neural correlate for social functioning appears to be functional connectivity within the salience network (SN), which is involved in detection of relevant stimuli (e.g., changes in other's emotional expressions).Thus, social connectedness and related connectivity within the SN may be predictive of neurodevelopmental outcomes. The potential protective role of these factors may be particularly salient during adolescence, which is a vulnerable period for many of the negative outcomes associated with NDDs. The proposed longitudinal project will capitalize on the multi-level framework of the Adolescent Brain Cognitive Development (ABCD) study by using psychosocial, functional neuroimaging, and cognitive data from two timepoints (i.e., baseline and one-year follow-up) to assess neurodevelopmental functioning in a sample of >11,500 youth in early adolescence. The project will be conducted at the Laureate Institute for Brain Research, which is an ABCD study site.
The aims of the proposed project are threefold: to determine whether 1) social connectedness is associated with SN functional connectivity cross-sectionally; 2) social connectedness predicts future neurodevelopmental function; and 3) SN functional connectivity predicts future neurodevelopmental function.
These aims will be assessed using linear mixed effects models with relevant covariates included (e.g., baseline neurodevelopmental function, youth ethnicity, youth gender, and family income). The proposed study has an exploratory aim of utilizing a data-driven, machine learning approach to identify additional modifiable factors (e.g., sleep, physical activity, screen time) that predict future neurodevelopmental function. The project is novel in that it takes a transdiagnostic approach to studying NDDs, it is longitudinal, and it has the potential for replication and extension as future data are released. Results from the project could have meaningful clinical relevance with the potential for identifying treatment targets for future interventions aiming to improve neurodevelopmental symptomatology in early adolescence.

Public Health Relevance

Because neurodevelopmental disorders (NDDs) are associated with significant impairment and public health costs and few psychological interventions are known to be effective for reducing neurodevelopmental symptomatology, identification of novel treatment targets for individuals with NDDs is needed. The present longitudinal study will address this need by utilizing a large, nationally-representative sample of youth (N = 11,500+; age 9-10) to examine the roles of social connectedness (i.e., extracurricular involvement, family dynamics, and relationships with peers and parents) and related neural connectedness (i.e., functional connectivity within the salience network) in predicting future neurodevelopmental functioning (indexed by both parent-reported symptoms and objective executive function tasks). Results from this study could therefore delineate modifiable social factors and underlying neural mechanisms that are protective against neurodevelopmental symptomatology in early adolescence and inform future clinical research.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
1F31HD103340-01
Application #
10066511
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Griffin, James
Project Start
2020-08-01
Project End
2022-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Tulsa
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
072420433
City
Tulsa
State
OK
Country
United States
Zip Code
74104